- published: 10 Aug 2015
- views: 2175
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Intel C++ Compiler 16.0, which is part of Intel Parallel Studio XE 2016, is the latest incarnation. David Bolton discusses what’s new and what’s changed with the compiler. Find out what he discovered and his verdict on the updated tool.
Лекция представляет собой обзор матричных возможностей библиотеки Intel Integrated Performance Primitives, а также демонстрацию на конкретном примере прироста производительности при её использовании в разработке. Кроме того, в лекции рассматриваются возможности Intel C++ Compiler оптимизации приложений и основные ключи компиляции с демонстрацией их работы.
Лекция и тесты в НОУ ИНТУИТ http://www.intuit.ru/studies/courses/664/520/lecture/11748
- published: 10 Feb 2014
- views: 629
This video will guide you on how to install Intel compiler, in this case Intel Parallel XE Cluster Edition 2015, on CentOS 6
1. Download the latest version from Intel's Development site(you need to register for an evaluation and then get a link in the mail).
2. Extract the archive:
tar xvf parallel_studio_xe_2015.tgz
3. Install 32Bit libraries:
yum install libstdc*i686 -y
4. Change directory the extracted archive:
cd parallel_studio_xe_2015
5. Launch the GUI installer:
./install_GUI.sh
6. Nothing special to choose from, just the evaluation check box when asked about a serial number(or enter a serial number if you have one).
7. Create the following files in /etc/profile.d/:
vi /etc/profile.d/intel.sh
#!/bin/bash
source /opt/intel/composerxe/bin/compilervars.sh intel64
source /opt/intel/impi/5.0.1.035/bin64/mpivars.sh
8. Copy the file and make a c shell version:
cp /etc/profile.d/intel.sh /etc/profile.d/intel.csh
9. Edit it:
vi /etc/profile.d/intel.csh
#!/bin/csh
source /opt/intel/composerxe/bin/compilervars.csh intel64
source /opt/intel/impi/5.0.1.035/bin64/mpivars.csh
10. Make both file executable:
chmod +x /etc/profile.d/intel*
11. Test it using icc -v mpicc -v
-------------------
Website: http://dennisit.blogspot.com
- published: 07 Oct 2014
- views: 1649
Xinmin Tian, Intel Corp.
OpenMP Con 2015 Aachen Germany - September 2015
Abstract: The relentless pace of Moore’s Law will lead to modern multi-core processors, coprocessors and GPU designs with extensive on-die integration of SIMD execution units on CPU and GPU cores to achieve better performance and power efficiency. To make efficient use of the underlying SIMD hardware, utilizing its wide vector registers and SIMD instructions such as Xeon Phi™, SIMD vectorization plays a key role of converting plain scalar C/C++/Fortran code into SIMD code that operating on vectors of data each holding one or more elements.Intel® Xeon processors and Xeon Phi™ coprocessors combine abundant thread parallelism with SIMD vector units.
Efficiently exploiting SIMD vector units is one of the most important aspects in achieving high performance of the application code running on Intel® Xeon and Xeon Phi™.In this paper, we present Intel® compiler framework that supports OpenMP4.0/4.1 SIMD extensions, and also present a set of key vectorization techniques such as function vectorization, masking support, uniformity and linearity propagation, alignment optimization, gather/scatter optimization, remainder and peeling loop vectorization that are implemented inside the Intel® C/C++ and Fortran product compilers for Intel® Xeon processors and Xeon Phi™ coprocessors.
A set of workloads from several application domains is employed to conduct the performance study of our SIMD vectorization techniques. The performance results show that we achieved up to 3x to ~12x performance gain on the Intel® Xeon processors and Xeon Phi™ coprocessors that illustrate how the power of compiler can be harnessed with minimum programmer efforts to enable effective SIMD parallelism. We also demonstrate a speedup ranging from ~100x to ~2000x with the seamless integration of SIMD vectorization and parallelization.
- published: 13 Dec 2015
- views: 742
Transactional memory (TM) promises to simplify parallel programming by moving the complexity of shared memory management away from the programmer's view. In this talk, we present the latest version of the Draft Specification of Transactional Language Constructs for C++ and its practical implementation within Intel's C++ software transactional memory (STM) compiler.
Boost library writers aim to write highly optimized and type-safe software. Because of this, in this talk we make a special effort to demonstrate how transactions in the Intel C++ STM compiler achieve rigid type-safety and optimization. In particular, we show how transactions can be used for complex operations, such as template declarations, member initialization lists, and failure atomic expressions (known as transaction expressions), as well as basic operations, such as function and class declarations. We also introduce relaxed transactions and demonstrate how irrevocable actions (e.g., actions which cannot be undone, like I/O) are used inside of them. We close with a roadmap for the Draft Specification of Transactional Language Constructs for C++ and an open, audience-driven discussion for proposed extensions to the specification.
- published: 29 Oct 2013
- views: 324
List of compilers
This page is intended to list all current compilers, compiler generators, interpreters, translators, tool foundations, etc.
Ada compilers
ALGOL compilers
BASIC compilers
Batch compilers
C compilers
Source-to-source compilers
This list is incomplete. A more extensive list of source-to-source compilers can be found here.
C++ compilers
C# compilers
COBOL compilers
Common Lisp compilers
LOGO compilers
Liogo NET Compiler http://liogo.sourceforge.net/
The Real LOGO Compiler http://lhogho.sourceforge.net/
D compilers
DIBOL/DBL compilers
ECMAScript interpreters
See List of ECMAScript engines.
Eiffel compilers
Felix compilers
Fortran compilers
Go compilers
Haskell compilers
HaskellWiki maintains a list of Haskell implementations. Many of them are compilers.
Java compilers
Oberon compilers
Pascal compilers
PL/I compilers
Python compilers
Scheme compilers and interpreters
Smalltalk compilers
CLI compilers
Open source compilers
Production quality, open source compilers.
This page contains text from Wikipedia, the Free Encyclopedia -
https://wn.com/List_of_compilers
This article is licensed under the Creative Commons Attribution-ShareAlike 3.0 Unported License, which means that you can copy and modify it as long as the entire work (including additions) remains under this license.
This article is licensed under the Creative Commons Attribution-ShareAlike 3.0 Unported License, which means that you can copy and modify it as long as the entire work (including additions) remains under this license.
Intel
Coordinates: 37°23′16.54″N 121°57′48.74″W / 37.3879278°N 121.9635389°W / 37.3879278; -121.9635389
Intel Corporation (better known as Intel) is an American multinational technology company headquartered in Santa Clara, California. Intel is one of the world's largest and highest valued semiconductor chip makers, based on revenue. It is the inventor of the x86 series of microprocessors, the processors found in most personal computers. Intel supplies processors for computer system manufacturers such as Apple, Samsung, HP and Dell. Intel also makes motherboard chipsets, network interface controllers and integrated circuits, flash memory, graphics chips, embedded processors and other devices related to communications and computing.
Intel Corporation was founded on July 18, 1968 by semiconductor pioneers Robert Noyce and Gordon Moore and widely associated with the executive leadership and vision of Andrew Grove, Intel combines advanced chip design capability with a leading-edge manufacturing capability.
This page contains text from Wikipedia, the Free Encyclopedia -
https://wn.com/Intel
This article is licensed under the Creative Commons Attribution-ShareAlike 3.0 Unported License, which means that you can copy and modify it as long as the entire work (including additions) remains under this license.
This article is licensed under the Creative Commons Attribution-ShareAlike 3.0 Unported License, which means that you can copy and modify it as long as the entire work (including additions) remains under this license.
Intel C++ Compiler
Intel C++ Compiler, also known as icc or icl, is a group of C and C++ compilers from Intel available for Windows, OS X, Linux and Intel-based Android devices.
Overview
The compilers generate optimized code for IA-32 and Intel 64 architectures, and non-optimized code for non-Intel but compatible processors, such as certain AMD processors. A specific release of the compiler (11.1) is available for development of Linux-based applications for IA-64 (Itanium 2) processors.
The 14.0 compiler added support for Intel-based Android devices and optimized vectorization and SSE Family instructions for performance. The 13.0 release added support for the Intel Xeon Phi coprocessor. It continues support for automatic vectorization, which can generate SSE, SSE2, SSE3, SSSE3, SSE4, AVX and AVX2 SIMD instructions, and the embedded variant for Intel MMX and MMX 2. Use of such instruction through the compiler can lead to improved application performance in some applications as run on IA-32 and Intel 64 architectures, compared to applications built with compilers that do not support these instructions.
This page contains text from Wikipedia, the Free Encyclopedia -
https://wn.com/Intel_C++_Compiler
This article is licensed under the Creative Commons Attribution-ShareAlike 3.0 Unported License, which means that you can copy and modify it as long as the entire work (including additions) remains under this license.
This article is licensed under the Creative Commons Attribution-ShareAlike 3.0 Unported License, which means that you can copy and modify it as long as the entire work (including additions) remains under this license.
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4:04Inside New Intel C++ Compiler 16.0
Inside New Intel C++ Compiler 16.0Inside New Intel C++ Compiler 16.0
Intel C++ Compiler 16.0, which is part of Intel Parallel Studio XE 2016, is the latest incarnation. David Bolton discusses what’s new and what’s changed with the compiler. Find out what he discovered and his verdict on the updated tool. -
6:15Compiling Vectorized Code with the Intel C++ Compiler
Compiling Vectorized Code with the Intel C++ Compiler -
5:41Using the Intel® C++ Compiler with Microsoft Visual Studio 2012
Using the Intel® C++ Compiler with Microsoft Visual Studio 2012Using the Intel® C++ Compiler with Microsoft Visual Studio 2012
-
68:47Лекция 4: Инструменты оптимизации приложений: Intel C++ Compiler и библиотека Intel®
Лекция 4: Инструменты оптимизации приложений: Intel C++ Compiler и библиотека Intel®Лекция 4: Инструменты оптимизации приложений: Intel C++ Compiler и библиотека Intel®
Лекция представляет собой обзор матричных возможностей библиотеки Intel Integrated Performance Primitives, а также демонстрацию на конкретном примере прироста производительности при её использовании в разработке. Кроме того, в лекции рассматриваются возможности Intel C++ Compiler оптимизации приложений и основные ключи компиляции с демонстрацией их работы. Лекция и тесты в НОУ ИНТУИТ http://www.intuit.ru/studies/courses/664/520/lecture/11748 -
3:49Configuring Intel C++ Compiler to generate Assembly Code
Configuring Intel C++ Compiler to generate Assembly CodeConfiguring Intel C++ Compiler to generate Assembly Code
When writing parallel code, it's often useful to look at the generated assembly code to help you determine if the code is optimal. In this video, Jeff Cogswell shows you how to set up the Intel compiler to create a file with the assembly code in it. -
3:44Intel® Cilk™ Plus Part of the Intel C++ Compiler
Intel® Cilk™ Plus Part of the Intel C++ CompilerIntel® Cilk™ Plus Part of the Intel C++ Compiler
-
1:13Game Development Tools for Web: Emscripten. Part 29. Intel C/C++ Compiler
Game Development Tools for Web: Emscripten. Part 29. Intel C/C++ CompilerGame Development Tools for Web: Emscripten. Part 29. Intel C/C++ Compiler
HINT: https://software.intel.com/en-us/intel-parallel-studio-xe -
3:56Install Intel compiler on CentOS 6
Install Intel compiler on CentOS 6Install Intel compiler on CentOS 6
This video will guide you on how to install Intel compiler, in this case Intel Parallel XE Cluster Edition 2015, on CentOS 6 1. Download the latest version from Intel's Development site(you need to register for an evaluation and then get a link in the mail). 2. Extract the archive: tar xvf parallel_studio_xe_2015.tgz 3. Install 32Bit libraries: yum install libstdc*i686 -y 4. Change directory the extracted archive: cd parallel_studio_xe_2015 5. Launch the GUI installer: ./install_GUI.sh 6. Nothing special to choose from, just the evaluation check box when asked about a serial number(or enter a serial number if you have one). 7. Create the following files in /etc/profile.d/: vi /etc/profile.d/intel.sh #!/bin/bash source /opt/intel/composerxe/bin/compilervars.sh intel64 source /opt/intel/impi/5.0.1.035/bin64/mpivars.sh 8. Copy the file and make a c shell version: cp /etc/profile.d/intel.sh /etc/profile.d/intel.csh 9. Edit it: vi /etc/profile.d/intel.csh #!/bin/csh source /opt/intel/composerxe/bin/compilervars.csh intel64 source /opt/intel/impi/5.0.1.035/bin64/mpivars.csh 10. Make both file executable: chmod +x /etc/profile.d/intel* 11. Test it using icc -v mpicc -v ------------------- Website: http://dennisit.blogspot.com -
60:37Inside Intel Compilers: Effective OpenMP SIMD Vectorization ...
Inside Intel Compilers: Effective OpenMP SIMD Vectorization ...Inside Intel Compilers: Effective OpenMP SIMD Vectorization ...
Xinmin Tian, Intel Corp. OpenMP Con 2015 Aachen Germany - September 2015 Abstract: The relentless pace of Moore’s Law will lead to modern multi-core processors, coprocessors and GPU designs with extensive on-die integration of SIMD execution units on CPU and GPU cores to achieve better performance and power efficiency. To make efficient use of the underlying SIMD hardware, utilizing its wide vector registers and SIMD instructions such as Xeon Phi™, SIMD vectorization plays a key role of converting plain scalar C/C++/Fortran code into SIMD code that operating on vectors of data each holding one or more elements.Intel® Xeon processors and Xeon Phi™ coprocessors combine abundant thread parallelism with SIMD vector units. Efficiently exploiting SIMD vector units is one of the most important aspects in achieving high performance of the application code running on Intel® Xeon and Xeon Phi™.In this paper, we present Intel® compiler framework that supports OpenMP4.0/4.1 SIMD extensions, and also present a set of key vectorization techniques such as function vectorization, masking support, uniformity and linearity propagation, alignment optimization, gather/scatter optimization, remainder and peeling loop vectorization that are implemented inside the Intel® C/C++ and Fortran product compilers for Intel® Xeon processors and Xeon Phi™ coprocessors. A set of workloads from several application domains is employed to conduct the performance study of our SIMD vectorization techniques. The performance results show that we achieved up to 3x to ~12x performance gain on the Intel® Xeon processors and Xeon Phi™ coprocessors that illustrate how the power of compiler can be harnessed with minimum programmer efforts to enable effective SIMD parallelism. We also demonstrate a speedup ranging from ~100x to ~2000x with the seamless integration of SIMD vectorization and parallelization. -
82:53Gottschlich: Intel's C++ STM Compiler and Transactional Language Constructs for C++
Gottschlich: Intel's C++ STM Compiler and Transactional Language Constructs for C++Gottschlich: Intel's C++ STM Compiler and Transactional Language Constructs for C++
Transactional memory (TM) promises to simplify parallel programming by moving the complexity of shared memory management away from the programmer's view. In this talk, we present the latest version of the Draft Specification of Transactional Language Constructs for C++ and its practical implementation within Intel's C++ software transactional memory (STM) compiler. Boost library writers aim to write highly optimized and type-safe software. Because of this, in this talk we make a special effort to demonstrate how transactions in the Intel C++ STM compiler achieve rigid type-safety and optimization. In particular, we show how transactions can be used for complex operations, such as template declarations, member initialization lists, and failure atomic expressions (known as transaction expressions), as well as basic operations, such as function and class declarations. We also introduce relaxed transactions and demonstrate how irrevocable actions (e.g., actions which cannot be undone, like I/O) are used inside of them. We close with a roadmap for the Draft Specification of Transactional Language Constructs for C++ and an open, audience-driven discussion for proposed extensions to the specification.
-
Inside New Intel C++ Compiler 16.0
Intel C++ Compiler 16.0, which is part of Intel Parallel Studio XE 2016, is the latest incarnation. David Bolton discusses what’s new and what’s changed with the compiler. Find out what he discovered and his verdict on the updated tool.
published: 10 Aug 2015 -
Compiling Vectorized Code with the Intel C++ Compiler
The Intel compiler can autovectorize your code. However, you want to be able to know for sure whether you're getting vectorized code. In this video, Jeff Cogswell shows you how to see which loops are vectorized by looking at the assembly code.
published: 06 Jan 2014 -
Using the Intel® C++ Compiler with Microsoft Visual Studio 2012
published: 09 Nov 2013 -
Лекция 4: Инструменты оптимизации приложений: Intel C++ Compiler и библиотека Intel®
Лекция представляет собой обзор матричных возможностей библиотеки Intel Integrated Performance Primitives, а также демонстрацию на конкретном примере прироста производительности при её использовании в разработке. Кроме того, в лекции рассматриваются возможности Intel C++ Compiler оптимизации приложений и основные ключи компиляции с демонстрацией их работы. Лекция и тесты в НОУ ИНТУИТ http://www.intuit.ru/studies/courses/664/520/lecture/11748
published: 10 Feb 2014 -
Configuring Intel C++ Compiler to generate Assembly Code
When writing parallel code, it's often useful to look at the generated assembly code to help you determine if the code is optimal. In this video, Jeff Cogswell shows you how to set up the Intel compiler to create a file with the assembly code in it.
published: 21 Feb 2014 -
Intel® Cilk™ Plus Part of the Intel C++ Compiler
published: 09 Nov 2013 -
Game Development Tools for Web: Emscripten. Part 29. Intel C/C++ Compiler
HINT: https://software.intel.com/en-us/intel-parallel-studio-xe
published: 28 Nov 2014 -
Install Intel compiler on CentOS 6
This video will guide you on how to install Intel compiler, in this case Intel Parallel XE Cluster Edition 2015, on CentOS 6 1. Download the latest version from Intel's Development site(you need to register for an evaluation and then get a link in the mail). 2. Extract the archive: tar xvf parallel_studio_xe_2015.tgz 3. Install 32Bit libraries: yum install libstdc*i686 -y 4. Change directory the extracted archive: cd parallel_studio_xe_2015 5. Launch the GUI installer: ./install_GUI.sh 6. Nothing special to choose from, just the evaluation check box when asked about a serial number(or enter a serial number if you have one). 7. Create the following files in /etc/profile.d/: vi /etc/profile.d/intel.sh #!/bin/bash source /opt/intel/composerxe/bin/compilervars.sh intel64 source /opt/in...
published: 07 Oct 2014 -
Inside Intel Compilers: Effective OpenMP SIMD Vectorization ...
Xinmin Tian, Intel Corp. OpenMP Con 2015 Aachen Germany - September 2015 Abstract: The relentless pace of Moore’s Law will lead to modern multi-core processors, coprocessors and GPU designs with extensive on-die integration of SIMD execution units on CPU and GPU cores to achieve better performance and power efficiency. To make efficient use of the underlying SIMD hardware, utilizing its wide vector registers and SIMD instructions such as Xeon Phi™, SIMD vectorization plays a key role of converting plain scalar C/C++/Fortran code into SIMD code that operating on vectors of data each holding one or more elements.Intel® Xeon processors and Xeon Phi™ coprocessors combine abundant thread parallelism with SIMD vector units. Efficiently exploiting SIMD vector units is one of the most important ...
published: 13 Dec 2015 -
Gottschlich: Intel's C++ STM Compiler and Transactional Language Constructs for C++
Transactional memory (TM) promises to simplify parallel programming by moving the complexity of shared memory management away from the programmer's view. In this talk, we present the latest version of the Draft Specification of Transactional Language Constructs for C++ and its practical implementation within Intel's C++ software transactional memory (STM) compiler. Boost library writers aim to write highly optimized and type-safe software. Because of this, in this talk we make a special effort to demonstrate how transactions in the Intel C++ STM compiler achieve rigid type-safety and optimization. In particular, we show how transactions can be used for complex operations, such as template declarations, member initialization lists, and failure atomic expressions (known as transaction expre...
published: 29 Oct 2013
Inside New Intel C++ Compiler 16.0
- Order: Reorder
- Duration: 4:04
- Updated: 10 Aug 2015
- views: 2175
Intel C++ Compiler 16.0, which is part of Intel Parallel Studio XE 2016, is the latest incarnation. David Bolton discusses what’s new and what’s changed with th...
Intel C++ Compiler 16.0, which is part of Intel Parallel Studio XE 2016, is the latest incarnation. David Bolton discusses what’s new and what’s changed with the compiler. Find out what he discovered and his verdict on the updated tool.
https://wn.com/Inside_New_Intel_C_Compiler_16.0
Intel C++ Compiler 16.0, which is part of Intel Parallel Studio XE 2016, is the latest incarnation. David Bolton discusses what’s new and what’s changed with the compiler. Find out what he discovered and his verdict on the updated tool.
- published: 10 Aug 2015
- views: 2175
Compiling Vectorized Code with the Intel C++ Compiler
- Order: Reorder
- Duration: 6:15
- Updated: 06 Jan 2014
- views: 2318
The Intel compiler can autovectorize your code. However, you want to be able to know for sure whether you're getting vectorized code. In this video, Jeff Cogswe...
The Intel compiler can autovectorize your code. However, you want to be able to know for sure whether you're getting vectorized code. In this video, Jeff Cogswell shows you how to see which loops are vectorized by looking at the assembly code.
https://wn.com/Compiling_Vectorized_Code_With_The_Intel_C_Compiler
Using the Intel® C++ Compiler with Microsoft Visual Studio 2012
- Order: Reorder
- Duration: 5:41
- Updated: 09 Nov 2013
- views: 835
- published: 09 Nov 2013
- views: 835
Лекция 4: Инструменты оптимизации приложений: Intel C++ Compiler и библиотека Intel®
- Order: Reorder
- Duration: 68:47
- Updated: 10 Feb 2014
- views: 629
Лекция представляет собой обзор матричных возможностей библиотеки Intel Integrated Performance Primitives, а также демонстрацию на конкретном примере прироста п...
Лекция представляет собой обзор матричных возможностей библиотеки Intel Integrated Performance Primitives, а также демонстрацию на конкретном примере прироста производительности при её использовании в разработке. Кроме того, в лекции рассматриваются возможности Intel C++ Compiler оптимизации приложений и основные ключи компиляции с демонстрацией их работы.
Лекция и тесты в НОУ ИНТУИТ http://www.intuit.ru/studies/courses/664/520/lecture/11748
https://wn.com/Лекция_4_Инструменты_Оптимизации_Приложений_Intel_C_Compiler_И_Библиотека_Intel®
Лекция представляет собой обзор матричных возможностей библиотеки Intel Integrated Performance Primitives, а также демонстрацию на конкретном примере прироста производительности при её использовании в разработке. Кроме того, в лекции рассматриваются возможности Intel C++ Compiler оптимизации приложений и основные ключи компиляции с демонстрацией их работы.
Лекция и тесты в НОУ ИНТУИТ http://www.intuit.ru/studies/courses/664/520/lecture/11748
- published: 10 Feb 2014
- views: 629
Configuring Intel C++ Compiler to generate Assembly Code
- Order: Reorder
- Duration: 3:49
- Updated: 21 Feb 2014
- views: 1602
When writing parallel code, it's often useful to look at the generated assembly code to help you determine if the code is optimal. In this video, Jeff Cogswell ...
When writing parallel code, it's often useful to look at the generated assembly code to help you determine if the code is optimal. In this video, Jeff Cogswell shows you how to set up the Intel compiler to create a file with the assembly code in it.
https://wn.com/Configuring_Intel_C_Compiler_To_Generate_Assembly_Code
Intel® Cilk™ Plus Part of the Intel C++ Compiler
- Order: Reorder
- Duration: 3:44
- Updated: 09 Nov 2013
- views: 329
- published: 09 Nov 2013
- views: 329
Game Development Tools for Web: Emscripten. Part 29. Intel C/C++ Compiler
- Order: Reorder
- Duration: 1:13
- Updated: 28 Nov 2014
- views: 308
HINT:
https://software.intel.com/en-us/intel-parallel-studio-xe
HINT:
https://software.intel.com/en-us/intel-parallel-studio-xe
https://wn.com/Game_Development_Tools_For_Web_Emscripten._Part_29._Intel_C_C_Compiler
Install Intel compiler on CentOS 6
- Order: Reorder
- Duration: 3:56
- Updated: 07 Oct 2014
- views: 1649
This video will guide you on how to install Intel compiler, in this case Intel Parallel XE Cluster Edition 2015, on CentOS 6
1. Download the latest version fro...
This video will guide you on how to install Intel compiler, in this case Intel Parallel XE Cluster Edition 2015, on CentOS 6
1. Download the latest version from Intel's Development site(you need to register for an evaluation and then get a link in the mail).
2. Extract the archive:
tar xvf parallel_studio_xe_2015.tgz
3. Install 32Bit libraries:
yum install libstdc*i686 -y
4. Change directory the extracted archive:
cd parallel_studio_xe_2015
5. Launch the GUI installer:
./install_GUI.sh
6. Nothing special to choose from, just the evaluation check box when asked about a serial number(or enter a serial number if you have one).
7. Create the following files in /etc/profile.d/:
vi /etc/profile.d/intel.sh
#!/bin/bash
source /opt/intel/composerxe/bin/compilervars.sh intel64
source /opt/intel/impi/5.0.1.035/bin64/mpivars.sh
8. Copy the file and make a c shell version:
cp /etc/profile.d/intel.sh /etc/profile.d/intel.csh
9. Edit it:
vi /etc/profile.d/intel.csh
#!/bin/csh
source /opt/intel/composerxe/bin/compilervars.csh intel64
source /opt/intel/impi/5.0.1.035/bin64/mpivars.csh
10. Make both file executable:
chmod +x /etc/profile.d/intel*
11. Test it using icc -v mpicc -v
-------------------
Website: http://dennisit.blogspot.com
https://wn.com/Install_Intel_Compiler_On_Centos_6
This video will guide you on how to install Intel compiler, in this case Intel Parallel XE Cluster Edition 2015, on CentOS 6
1. Download the latest version from Intel's Development site(you need to register for an evaluation and then get a link in the mail).
2. Extract the archive:
tar xvf parallel_studio_xe_2015.tgz
3. Install 32Bit libraries:
yum install libstdc*i686 -y
4. Change directory the extracted archive:
cd parallel_studio_xe_2015
5. Launch the GUI installer:
./install_GUI.sh
6. Nothing special to choose from, just the evaluation check box when asked about a serial number(or enter a serial number if you have one).
7. Create the following files in /etc/profile.d/:
vi /etc/profile.d/intel.sh
#!/bin/bash
source /opt/intel/composerxe/bin/compilervars.sh intel64
source /opt/intel/impi/5.0.1.035/bin64/mpivars.sh
8. Copy the file and make a c shell version:
cp /etc/profile.d/intel.sh /etc/profile.d/intel.csh
9. Edit it:
vi /etc/profile.d/intel.csh
#!/bin/csh
source /opt/intel/composerxe/bin/compilervars.csh intel64
source /opt/intel/impi/5.0.1.035/bin64/mpivars.csh
10. Make both file executable:
chmod +x /etc/profile.d/intel*
11. Test it using icc -v mpicc -v
-------------------
Website: http://dennisit.blogspot.com
- published: 07 Oct 2014
- views: 1649
Inside Intel Compilers: Effective OpenMP SIMD Vectorization ...
- Order: Reorder
- Duration: 60:37
- Updated: 13 Dec 2015
- views: 742
Xinmin Tian, Intel Corp.
OpenMP Con 2015 Aachen Germany - September 2015
Abstract: The relentless pace of Moore’s Law will lead to modern multi-core processors...
Xinmin Tian, Intel Corp.
OpenMP Con 2015 Aachen Germany - September 2015
Abstract: The relentless pace of Moore’s Law will lead to modern multi-core processors, coprocessors and GPU designs with extensive on-die integration of SIMD execution units on CPU and GPU cores to achieve better performance and power efficiency. To make efficient use of the underlying SIMD hardware, utilizing its wide vector registers and SIMD instructions such as Xeon Phi™, SIMD vectorization plays a key role of converting plain scalar C/C++/Fortran code into SIMD code that operating on vectors of data each holding one or more elements.Intel® Xeon processors and Xeon Phi™ coprocessors combine abundant thread parallelism with SIMD vector units.
Efficiently exploiting SIMD vector units is one of the most important aspects in achieving high performance of the application code running on Intel® Xeon and Xeon Phi™.In this paper, we present Intel® compiler framework that supports OpenMP4.0/4.1 SIMD extensions, and also present a set of key vectorization techniques such as function vectorization, masking support, uniformity and linearity propagation, alignment optimization, gather/scatter optimization, remainder and peeling loop vectorization that are implemented inside the Intel® C/C++ and Fortran product compilers for Intel® Xeon processors and Xeon Phi™ coprocessors.
A set of workloads from several application domains is employed to conduct the performance study of our SIMD vectorization techniques. The performance results show that we achieved up to 3x to ~12x performance gain on the Intel® Xeon processors and Xeon Phi™ coprocessors that illustrate how the power of compiler can be harnessed with minimum programmer efforts to enable effective SIMD parallelism. We also demonstrate a speedup ranging from ~100x to ~2000x with the seamless integration of SIMD vectorization and parallelization.
https://wn.com/Inside_Intel_Compilers_Effective_Openmp_Simd_Vectorization_...
Xinmin Tian, Intel Corp.
OpenMP Con 2015 Aachen Germany - September 2015
Abstract: The relentless pace of Moore’s Law will lead to modern multi-core processors, coprocessors and GPU designs with extensive on-die integration of SIMD execution units on CPU and GPU cores to achieve better performance and power efficiency. To make efficient use of the underlying SIMD hardware, utilizing its wide vector registers and SIMD instructions such as Xeon Phi™, SIMD vectorization plays a key role of converting plain scalar C/C++/Fortran code into SIMD code that operating on vectors of data each holding one or more elements.Intel® Xeon processors and Xeon Phi™ coprocessors combine abundant thread parallelism with SIMD vector units.
Efficiently exploiting SIMD vector units is one of the most important aspects in achieving high performance of the application code running on Intel® Xeon and Xeon Phi™.In this paper, we present Intel® compiler framework that supports OpenMP4.0/4.1 SIMD extensions, and also present a set of key vectorization techniques such as function vectorization, masking support, uniformity and linearity propagation, alignment optimization, gather/scatter optimization, remainder and peeling loop vectorization that are implemented inside the Intel® C/C++ and Fortran product compilers for Intel® Xeon processors and Xeon Phi™ coprocessors.
A set of workloads from several application domains is employed to conduct the performance study of our SIMD vectorization techniques. The performance results show that we achieved up to 3x to ~12x performance gain on the Intel® Xeon processors and Xeon Phi™ coprocessors that illustrate how the power of compiler can be harnessed with minimum programmer efforts to enable effective SIMD parallelism. We also demonstrate a speedup ranging from ~100x to ~2000x with the seamless integration of SIMD vectorization and parallelization.
- published: 13 Dec 2015
- views: 742
Gottschlich: Intel's C++ STM Compiler and Transactional Language Constructs for C++
- Order: Reorder
- Duration: 82:53
- Updated: 29 Oct 2013
- views: 324
Transactional memory (TM) promises to simplify parallel programming by moving the complexity of shared memory management away from the programmer's view. In thi...
Transactional memory (TM) promises to simplify parallel programming by moving the complexity of shared memory management away from the programmer's view. In this talk, we present the latest version of the Draft Specification of Transactional Language Constructs for C++ and its practical implementation within Intel's C++ software transactional memory (STM) compiler.
Boost library writers aim to write highly optimized and type-safe software. Because of this, in this talk we make a special effort to demonstrate how transactions in the Intel C++ STM compiler achieve rigid type-safety and optimization. In particular, we show how transactions can be used for complex operations, such as template declarations, member initialization lists, and failure atomic expressions (known as transaction expressions), as well as basic operations, such as function and class declarations. We also introduce relaxed transactions and demonstrate how irrevocable actions (e.g., actions which cannot be undone, like I/O) are used inside of them. We close with a roadmap for the Draft Specification of Transactional Language Constructs for C++ and an open, audience-driven discussion for proposed extensions to the specification.
https://wn.com/Gottschlich_Intel's_C_Stm_Compiler_And_Transactional_Language_Constructs_For_C
Transactional memory (TM) promises to simplify parallel programming by moving the complexity of shared memory management away from the programmer's view. In this talk, we present the latest version of the Draft Specification of Transactional Language Constructs for C++ and its practical implementation within Intel's C++ software transactional memory (STM) compiler.
Boost library writers aim to write highly optimized and type-safe software. Because of this, in this talk we make a special effort to demonstrate how transactions in the Intel C++ STM compiler achieve rigid type-safety and optimization. In particular, we show how transactions can be used for complex operations, such as template declarations, member initialization lists, and failure atomic expressions (known as transaction expressions), as well as basic operations, such as function and class declarations. We also introduce relaxed transactions and demonstrate how irrevocable actions (e.g., actions which cannot be undone, like I/O) are used inside of them. We close with a roadmap for the Draft Specification of Transactional Language Constructs for C++ and an open, audience-driven discussion for proposed extensions to the specification.
- published: 29 Oct 2013
- views: 324
-
Intel® Cilk™ Plus Part of the Intel C++ Compiler
published: 09 Nov 2013 -
Using the Intel® C++ Compiler with Microsoft Visual Studio 2012
published: 09 Nov 2013 -
Pt 2 of 4 Using Intel® C++ Compiler for Embedded Systems
published: 09 Nov 2013 -
Pt 3 of 4 Using Intel® C++ Compiler for Embedded Systems
published: 09 Nov 2013 -
Pt 4 of 4 Using Intel® C++ Compiler for Embedded Systems
published: 09 Nov 2013 -
Inside New Intel C++ Compiler 16.0
Intel C++ Compiler 16.0, which is part of Intel Parallel Studio XE 2016, is the latest incarnation. David Bolton discusses what’s new and what’s changed with the compiler. Find out what he discovered and his verdict on the updated tool.
published: 10 Aug 2015 -
Compiling Vectorized Code with the Intel C++ Compiler
The Intel compiler can autovectorize your code. However, you want to be able to know for sure whether you're getting vectorized code. In this video, Jeff Cogswell shows you how to see which loops are vectorized by looking at the assembly code.
published: 06 Jan 2014 -
Game Development Tools for Web: Emscripten. Part 42. Build Fastcomp: Intel C/C++ Compiler
HINT: PATH: w:\tools\incoming\emscripten-fastcomp\build-intel64\ cmake .. -T "Intel C++ Compiler XE 13.0" -G "Visual Studio 10 Win64" -DCMAKE_BUILD_TYPE=Release -DLLVM_TARGETS_TO_BUILD="X86;JSBackend" -DLLVM_INCLUDE_EXAMPLES=OFF -DLLVM_INCLUDE_TESTS=OFF -DCLANG_INCLUDE_EXAMPLES=OFF -DCLANG_INCLUDE_TESTS=OFF ---------------------------------------------------------------------------------- -T "Intel C++ Compiler 15.0 [Intel(R) System Studio]" - Intel System Studio 2015 -T "Intel C++ Compiler XE 13.0" -T "Intel Parallel Composer 2011" ----------------------------------------------------------------------------- -G "Visual Studio 10 Win64" - Visual Studio 2010 -G "Visual Studio 12 Win64" - Visual Studio 2013 (build failed)
published: 30 Nov 2014 -
Game Development Tools for Web: Emscripten. Part 29. Intel C/C++ Compiler
HINT: https://software.intel.com/en-us/intel-parallel-studio-xe
published: 28 Nov 2014 -
Intel® Cilk™ Plus Part of the Intel C++ Compiler
- Order: Reorder
- Duration: 3:44
- Updated: 09 Nov 2013
- views: 325
- published: 09 Nov 2013
- views: 325
Using the Intel® C++ Compiler with Microsoft Visual Studio 2012
- Order: Reorder
- Duration: 5:41
- Updated: 09 Nov 2013
- views: 826
- published: 09 Nov 2013
- views: 826
Pt 2 of 4 Using Intel® C++ Compiler for Embedded Systems
- Order: Reorder
- Duration: 13:34
- Updated: 09 Nov 2013
- views: 31
- published: 09 Nov 2013
- views: 31
Pt 3 of 4 Using Intel® C++ Compiler for Embedded Systems
- Order: Reorder
- Duration: 12:11
- Updated: 09 Nov 2013
- views: 14
- published: 09 Nov 2013
- views: 14
Pt 4 of 4 Using Intel® C++ Compiler for Embedded Systems
- Order: Reorder
- Duration: 14:17
- Updated: 09 Nov 2013
- views: 26
- published: 09 Nov 2013
- views: 26
Inside New Intel C++ Compiler 16.0
- Order: Reorder
- Duration: 4:04
- Updated: 10 Aug 2015
- views: 2127
Intel C++ Compiler 16.0, which is part of Intel Parallel Studio XE 2016, is the latest incarnation. David Bolton discusses what’s new and what’s changed with th...
Intel C++ Compiler 16.0, which is part of Intel Parallel Studio XE 2016, is the latest incarnation. David Bolton discusses what’s new and what’s changed with the compiler. Find out what he discovered and his verdict on the updated tool.
https://wn.com/Inside_New_Intel_C_Compiler_16.0
Intel C++ Compiler 16.0, which is part of Intel Parallel Studio XE 2016, is the latest incarnation. David Bolton discusses what’s new and what’s changed with the compiler. Find out what he discovered and his verdict on the updated tool.
- published: 10 Aug 2015
- views: 2127
Compiling Vectorized Code with the Intel C++ Compiler
- Order: Reorder
- Duration: 6:15
- Updated: 06 Jan 2014
- views: 2287
The Intel compiler can autovectorize your code. However, you want to be able to know for sure whether you're getting vectorized code. In this video, Jeff Cogswe...
The Intel compiler can autovectorize your code. However, you want to be able to know for sure whether you're getting vectorized code. In this video, Jeff Cogswell shows you how to see which loops are vectorized by looking at the assembly code.
https://wn.com/Compiling_Vectorized_Code_With_The_Intel_C_Compiler
Game Development Tools for Web: Emscripten. Part 42. Build Fastcomp: Intel C/C++ Compiler
- Order: Reorder
- Duration: 4:20
- Updated: 30 Nov 2014
- views: 249
HINT:
PATH: w:\tools\incoming\emscripten-fastcomp\build-intel64\
cmake .. -T "Intel C++ Compiler XE 13.0" -G "Visual Studio 10 Win64" -DCMAKE_BUILD_TYPE=Releas...
HINT:
PATH: w:\tools\incoming\emscripten-fastcomp\build-intel64\
cmake .. -T "Intel C++ Compiler XE 13.0" -G "Visual Studio 10 Win64" -DCMAKE_BUILD_TYPE=Release -DLLVM_TARGETS_TO_BUILD="X86;JSBackend" -DLLVM_INCLUDE_EXAMPLES=OFF -DLLVM_INCLUDE_TESTS=OFF -DCLANG_INCLUDE_EXAMPLES=OFF -DCLANG_INCLUDE_TESTS=OFF
----------------------------------------------------------------------------------
-T "Intel C++ Compiler 15.0 [Intel(R) System Studio]" - Intel System Studio 2015
-T "Intel C++ Compiler XE 13.0"
-T "Intel Parallel Composer 2011"
-----------------------------------------------------------------------------
-G "Visual Studio 10 Win64" - Visual Studio 2010
-G "Visual Studio 12 Win64" - Visual Studio 2013
(build failed)
https://wn.com/Game_Development_Tools_For_Web_Emscripten._Part_42._Build_Fastcomp_Intel_C_C_Compiler
HINT:
PATH: w:\tools\incoming\emscripten-fastcomp\build-intel64\
cmake .. -T "Intel C++ Compiler XE 13.0" -G "Visual Studio 10 Win64" -DCMAKE_BUILD_TYPE=Release -DLLVM_TARGETS_TO_BUILD="X86;JSBackend" -DLLVM_INCLUDE_EXAMPLES=OFF -DLLVM_INCLUDE_TESTS=OFF -DCLANG_INCLUDE_EXAMPLES=OFF -DCLANG_INCLUDE_TESTS=OFF
----------------------------------------------------------------------------------
-T "Intel C++ Compiler 15.0 [Intel(R) System Studio]" - Intel System Studio 2015
-T "Intel C++ Compiler XE 13.0"
-T "Intel Parallel Composer 2011"
-----------------------------------------------------------------------------
-G "Visual Studio 10 Win64" - Visual Studio 2010
-G "Visual Studio 12 Win64" - Visual Studio 2013
(build failed)
- published: 30 Nov 2014
- views: 249
Game Development Tools for Web: Emscripten. Part 29. Intel C/C++ Compiler
- Order: Reorder
- Duration: 1:13
- Updated: 28 Nov 2014
- views: 303
HINT:
https://software.intel.com/en-us/intel-parallel-studio-xe
HINT:
https://software.intel.com/en-us/intel-parallel-studio-xe
https://wn.com/Game_Development_Tools_For_Web_Emscripten._Part_29._Intel_C_C_Compiler
Use GNU C++ and Intel Compilers with OpenMP
- Order: Reorder
- Duration: 3:50
- Updated: 06 Aug 2014
- views: 1608
Most compilers today support OpenMP. Jeff Cogswell shows you how to compile OpenMP programs using both the Intel and GNU C++ compilers.
Most compilers today support OpenMP. Jeff Cogswell shows you how to compile OpenMP programs using both the Intel and GNU C++ compilers.
https://wn.com/Use_Gnu_C_And_Intel_Compilers_With_Openmp
-
Лекция 4: Инструменты оптимизации приложений: Intel C++ Compiler и библиотека Intel®
Лекция представляет собой обзор матричных возможностей библиотеки Intel Integrated Performance Primitives, а также демонстрацию на конкретном примере прироста производительности при её использовании в разработке. Кроме того, в лекции рассматриваются возможности Intel C++ Compiler оптимизации приложений и основные ключи компиляции с демонстрацией их работы. Лекция и тесты в НОУ ИНТУИТ http://www.intuit.ru/studies/courses/664/520/lecture/11748
published: 10 Feb 2014 -
Programming Magic — Episode 1 — Mana
And so we kick things off with the first screencast! In this screencast we set up our projects and write an implementation of basic mana rules that Magic uses. Full source code is available here (feel free to fork & PR): https://github.com/nesteruk/ProgrammingMagic Note: compiling the source code requires Visual Studio 2013, Intel Parallel Studio 2015, Google Test. Further screencasts will also require Boost and other things. All projects are configured for 64-bit Intel C++ compilation.
published: 14 Apr 2015 -
Sourcery - episode 1: Register File
Let's write an emulator, from scratch! We're writing an Intel x86 emulator. Twice a week, at 19:30. Bring your own C Compiler!
published: 28 Oct 2016 -
Gottschlich: Intel's C++ STM Compiler and Transactional Language Constructs for C++
Transactional memory (TM) promises to simplify parallel programming by moving the complexity of shared memory management away from the programmer's view. In this talk, we present the latest version of the Draft Specification of Transactional Language Constructs for C++ and its practical implementation within Intel's C++ software transactional memory (STM) compiler. Boost library writers aim to write highly optimized and type-safe software. Because of this, in this talk we make a special effort to demonstrate how transactions in the Intel C++ STM compiler achieve rigid type-safety and optimization. In particular, we show how transactions can be used for complex operations, such as template declarations, member initialization lists, and failure atomic expressions (known as transaction expre...
published: 29 Oct 2013 -
Leçon 11: Conception de programmes: complexité des algorithmes - Langage C
Leçon 11: Conception de programmes: complexité des algorithmes - Langage C Complexité temporelle Mesure de la complexité Classes de complexité Calcul de la complexité ------------------------ fft algorithm nptel fibonacci algorithm fiche maternelle algorithme imprimer financial algorithms first fit algorithm flood fill algorithm floyd algorithm floyd warshall algorithm for c formation c formation c# formation delphi formation programmation formation programmation informatique formation visual basic fortran forum langage c forward backward algorithm foundations of algorithms fractal algorithm frank wolfe algorithm free c compiler functional data structures fundamentals of data structures game algorithms genetic algorithm genetic algorithm example genetic algorithm game genetic algorithm...
published: 01 Nov 2014 -
Leçon 11: Les arbres - Langage C
Leçon 11: Les arbres - Langage C Définitions et propriétés Type abstrait de données et Implantation --------------------------- arbre binaire arbre rouge et noir arbres binaires de recherche ensias java les arbres en langage c les arbres en c langage c leçon 11 arbres langage c cours arbre rouge et noir arbre binaire algorithme avancé arbre rouge et noir leçon 11: c langage c ensias lecon 11 langage c leã§on 11 lecon11 leçon 11# complément langage c: allocation dynamique les arbres binaires langage c les arbre exercice arbre binaire de recherche ensias lecon 11 arbree arbres binaires exercice arbres rouge et noir arbre binaire:rouge noir arbre binaire arbre rouge et noir les arbre ensias algorithmique les arbres rouge et noir les arbres en langage c supprimer structures donnees arb...
published: 30 Nov 2014 -
Leçon 15: Algorithmes Simples de Tri - Langage C
Leçon 15: Algorithmes Simples de Tri - Langage C Tri à bulles Tri par sélection Tri par insertion Synthèse --------------------------- #16# algorithme ( les types des tris sur tableau ) # الد algorithme avancé : algorithme de tri algorithme d'un tri de tableau par insertion algorithme de tri algorithme de tri à bulles algorithme en c du tri insertion complixité algorithme langage c algorithme tri algorithme tri à bulle algorithme tri à bulles algorithme tri par insertion caml algorithmes de tri algorithmes de tri en c algorithmes de tri par insertion algorithmes de tris algoritme langahe c analyse et conception des algorithme cours de langage c et algorythme diviser pour regner algorithme de tris du langage algorithmique au langage c exercise algorithmique langage c formati...
published: 30 Nov 2014 -
Inside Intel Compilers: Effective OpenMP SIMD Vectorization ...
Xinmin Tian, Intel Corp. OpenMP Con 2015 Aachen Germany - September 2015 Abstract: The relentless pace of Moore’s Law will lead to modern multi-core processors, coprocessors and GPU designs with extensive on-die integration of SIMD execution units on CPU and GPU cores to achieve better performance and power efficiency. To make efficient use of the underlying SIMD hardware, utilizing its wide vector registers and SIMD instructions such as Xeon Phi™, SIMD vectorization plays a key role of converting plain scalar C/C++/Fortran code into SIMD code that operating on vectors of data each holding one or more elements.Intel® Xeon processors and Xeon Phi™ coprocessors combine abundant thread parallelism with SIMD vector units. Efficiently exploiting SIMD vector units is one of the most important ...
published: 13 Dec 2015 -
Codigo Linux El Comienzo del Pirateo Documentales
El núcleo Linux, ha sido marcado por un crecimiento constante en cada momento de su historia. Desde la primera publicación de su código fuente en 1991, nacido desde un pequeño número de archivos en lenguaje C bajo una licencia que prohíbe la distribución comercial a su estado actual de cerca de 296 MiBs de fuente bajo la Licencia pública general de GNU. Antecedentes[editar] Máscota oficial de GNU. Richard Matthew Stallman, fundador de la Fundación del Software Libre y del Proyecto GNU. En 1983 Richard Stallman inició el ambicioso Proyecto GNU, con el propósito de crear un sistema operativo similar y compatible con UNIX y los estándares POSIX. Dos años más tarde, 1985, creó la Fundación del Software Libre (FSF) y desarrolló la Licencia pública general de GNU (GNU GPL), para tener un marc...
published: 21 Nov 2014 -
QtWS15- Writing better code with help from Qt and the compiler, Thiago Macieira, Intel
Writing better code with help from Qt and the compiler: Traditionally, getting the most out of a processor required writing assembly code that used specialised instructions to accomplish some particular tasks. And though that's still widely used, processors are very complex and maintaining assembly code by hand is a hard and tedious task. Add to that the fact that processors evolve and getting the timings right of each generation is better left to the compiler. A little known feature of the compilers is that it is possible to get access to certain instructions from high-level C and C++ code, by way of intrinsic functions, thus allowing developers of native code to get very close to bare metal performance. Yet modern compilers can offer more functionality to help the bold developer write b...
published: 22 Oct 2015
Лекция 4: Инструменты оптимизации приложений: Intel C++ Compiler и библиотека Intel®
- Order: Reorder
- Duration: 1:08:47
- Updated: 10 Feb 2014
- views: 629
Лекция представляет собой обзор матричных возможностей библиотеки Intel Integrated Performance Primitives, а также демонстрацию на конкретном примере прироста п...
Лекция представляет собой обзор матричных возможностей библиотеки Intel Integrated Performance Primitives, а также демонстрацию на конкретном примере прироста производительности при её использовании в разработке. Кроме того, в лекции рассматриваются возможности Intel C++ Compiler оптимизации приложений и основные ключи компиляции с демонстрацией их работы.
Лекция и тесты в НОУ ИНТУИТ http://www.intuit.ru/studies/courses/664/520/lecture/11748
https://wn.com/Лекция_4_Инструменты_Оптимизации_Приложений_Intel_C_Compiler_И_Библиотека_Intel®
Лекция представляет собой обзор матричных возможностей библиотеки Intel Integrated Performance Primitives, а также демонстрацию на конкретном примере прироста производительности при её использовании в разработке. Кроме того, в лекции рассматриваются возможности Intel C++ Compiler оптимизации приложений и основные ключи компиляции с демонстрацией их работы.
Лекция и тесты в НОУ ИНТУИТ http://www.intuit.ru/studies/courses/664/520/lecture/11748
- published: 10 Feb 2014
- views: 629
Programming Magic — Episode 1 — Mana
- Order: Reorder
- Duration: 56:15
- Updated: 14 Apr 2015
- views: 3435
And so we kick things off with the first screencast! In this screencast we set up our projects and write an implementation of basic mana rules that Magic uses.
...
And so we kick things off with the first screencast! In this screencast we set up our projects and write an implementation of basic mana rules that Magic uses.
Full source code is available here (feel free to fork & PR): https://github.com/nesteruk/ProgrammingMagic
Note: compiling the source code requires Visual Studio 2013, Intel Parallel Studio 2015, Google Test. Further screencasts will also require Boost and other things. All projects are configured for 64-bit Intel C++ compilation.
https://wn.com/Programming_Magic_—_Episode_1_—_Mana
And so we kick things off with the first screencast! In this screencast we set up our projects and write an implementation of basic mana rules that Magic uses.
Full source code is available here (feel free to fork & PR): https://github.com/nesteruk/ProgrammingMagic
Note: compiling the source code requires Visual Studio 2013, Intel Parallel Studio 2015, Google Test. Further screencasts will also require Boost and other things. All projects are configured for 64-bit Intel C++ compilation.
- published: 14 Apr 2015
- views: 3435
Sourcery - episode 1: Register File
- Order: Reorder
- Duration: 1:33:29
- Updated: 28 Oct 2016
- views: 1509
Let's write an emulator, from scratch! We're writing an Intel x86 emulator. Twice a week, at 19:30. Bring your own C Compiler!
Let's write an emulator, from scratch! We're writing an Intel x86 emulator. Twice a week, at 19:30. Bring your own C Compiler!
https://wn.com/Sourcery_Episode_1_Register_File
Let's write an emulator, from scratch! We're writing an Intel x86 emulator. Twice a week, at 19:30. Bring your own C Compiler!
- published: 28 Oct 2016
- views: 1509
Gottschlich: Intel's C++ STM Compiler and Transactional Language Constructs for C++
- Order: Reorder
- Duration: 1:22:53
- Updated: 29 Oct 2013
- views: 323
Transactional memory (TM) promises to simplify parallel programming by moving the complexity of shared memory management away from the programmer's view. In thi...
Transactional memory (TM) promises to simplify parallel programming by moving the complexity of shared memory management away from the programmer's view. In this talk, we present the latest version of the Draft Specification of Transactional Language Constructs for C++ and its practical implementation within Intel's C++ software transactional memory (STM) compiler.
Boost library writers aim to write highly optimized and type-safe software. Because of this, in this talk we make a special effort to demonstrate how transactions in the Intel C++ STM compiler achieve rigid type-safety and optimization. In particular, we show how transactions can be used for complex operations, such as template declarations, member initialization lists, and failure atomic expressions (known as transaction expressions), as well as basic operations, such as function and class declarations. We also introduce relaxed transactions and demonstrate how irrevocable actions (e.g., actions which cannot be undone, like I/O) are used inside of them. We close with a roadmap for the Draft Specification of Transactional Language Constructs for C++ and an open, audience-driven discussion for proposed extensions to the specification.
https://wn.com/Gottschlich_Intel's_C_Stm_Compiler_And_Transactional_Language_Constructs_For_C
Transactional memory (TM) promises to simplify parallel programming by moving the complexity of shared memory management away from the programmer's view. In this talk, we present the latest version of the Draft Specification of Transactional Language Constructs for C++ and its practical implementation within Intel's C++ software transactional memory (STM) compiler.
Boost library writers aim to write highly optimized and type-safe software. Because of this, in this talk we make a special effort to demonstrate how transactions in the Intel C++ STM compiler achieve rigid type-safety and optimization. In particular, we show how transactions can be used for complex operations, such as template declarations, member initialization lists, and failure atomic expressions (known as transaction expressions), as well as basic operations, such as function and class declarations. We also introduce relaxed transactions and demonstrate how irrevocable actions (e.g., actions which cannot be undone, like I/O) are used inside of them. We close with a roadmap for the Draft Specification of Transactional Language Constructs for C++ and an open, audience-driven discussion for proposed extensions to the specification.
- published: 29 Oct 2013
- views: 323
Leçon 11: Conception de programmes: complexité des algorithmes - Langage C
- Order: Reorder
- Duration: 43:36
- Updated: 01 Nov 2014
- views: 2107
Leçon 11: Conception de programmes: complexité des algorithmes - Langage C
Complexité temporelle
Mesure de la complexité
Classes de complexité
Calcul de la ...
Leçon 11: Conception de programmes: complexité des algorithmes - Langage C
Complexité temporelle
Mesure de la complexité
Classes de complexité
Calcul de la complexité
------------------------
fft algorithm nptel
fibonacci algorithm
fiche maternelle algorithme imprimer
financial algorithms
first fit algorithm
flood fill algorithm
floyd algorithm
floyd warshall algorithm
for c
formation c
formation c#
formation delphi
formation programmation
formation programmation informatique
formation visual basic
fortran
forum langage c
forward backward algorithm
foundations of algorithms
fractal algorithm
frank wolfe algorithm
free c compiler
functional data structures
fundamentals of data structures
game algorithms
genetic algorithm
genetic algorithm example
genetic algorithm game
genetic algorithm python
genetic algorithm tutorial
genetic algorithms
geometric algorithms
gillespie algorithm
gnu c
goertzel algorithm
google algorithm update 2014
graph algorithm
graph algorithms
graph data structure
graphs data structure
greedy algorithm
greedy algorithm examples
greedy algorithm knapsack
greedy algorithm knapsack problem
greedy algorithm nptel
greedy algorithms
hanoi algorithm
hash algorithm
hash algorithms
hash data structure
hashing algorithm
hashing algorithms
heap algorithm
heap data structure
heap sort algorithm
heapsort algorithm
heuristic algorithm
heuristic algorithms
hill climbing algorithm
history of c programming language wikipedia
hits algorithm
how des algorithm works
how google algorithm works
how md5 algorithm worksalgorithms
how rsa algorithm works
how to c
how to create an algorithm
how to learn c
how to make an algorithm
how to program in c
how to write algorithms
how to write an algorithm
html cours
huffman algorithm
huffman coding algorithm
hummingbird algorithm google
hungarian algorithm
image matching algorithm
image processing algorithms
in c programming language x-=y+1 means
initiation à la programmation
insertion sort algorithm
insertion sort algorithm java
instruction de branchement langage c
instructions du langage c
int langage c
intel c compiler
introduction algorithme
introduction to algorithms
introduction to algorithms mit
introduction to c
introduction to c programming
introduction to data structures
introduction to genetic algorithms
introduction to the design and analysis of algorithms
is learning c necessary
isomorphic algorithm
isomorphic algorithms
iterative algorithm
jpeg compression algorithm
k means algorithm
k means clustering algorithm
k&r;
k&r; c
karatsuba algorithm
kernighan et ritchie
kernighan ritchie
kmp algorithm
knapsack algorithm
knapsack algorithm with example
kruskal algorithm
kruskal's algorithm java
kruskal's algorithm union find
kruskals algorithm
l'instruction break au langage c
l'instruction break darija
la boucle for
la boucle for en langage C
la boucle for langage c
la boucle pour
la boucle while en langage C
la programmation
lanczos algorithm
langage C : La boucle For Partie 2 et Les instructions de branchement inconditionnel
langage C boucle FOR 2/2
langage c
langage c : Exercice 020 Somme de 1 tant que n.mp4
langage c : la boucle for partie 2 et les instructions de branchement inconditionne
langage c : la boucle for partie 2 et les instructions de branchement int
langage c Darija (les pointeur)
https://wn.com/Leçon_11_Conception_De_Programmes_Complexité_Des_Algorithmes_Langage_C
Leçon 11: Conception de programmes: complexité des algorithmes - Langage C
Complexité temporelle
Mesure de la complexité
Classes de complexité
Calcul de la complexité
------------------------
fft algorithm nptel
fibonacci algorithm
fiche maternelle algorithme imprimer
financial algorithms
first fit algorithm
flood fill algorithm
floyd algorithm
floyd warshall algorithm
for c
formation c
formation c#
formation delphi
formation programmation
formation programmation informatique
formation visual basic
fortran
forum langage c
forward backward algorithm
foundations of algorithms
fractal algorithm
frank wolfe algorithm
free c compiler
functional data structures
fundamentals of data structures
game algorithms
genetic algorithm
genetic algorithm example
genetic algorithm game
genetic algorithm python
genetic algorithm tutorial
genetic algorithms
geometric algorithms
gillespie algorithm
gnu c
goertzel algorithm
google algorithm update 2014
graph algorithm
graph algorithms
graph data structure
graphs data structure
greedy algorithm
greedy algorithm examples
greedy algorithm knapsack
greedy algorithm knapsack problem
greedy algorithm nptel
greedy algorithms
hanoi algorithm
hash algorithm
hash algorithms
hash data structure
hashing algorithm
hashing algorithms
heap algorithm
heap data structure
heap sort algorithm
heapsort algorithm
heuristic algorithm
heuristic algorithms
hill climbing algorithm
history of c programming language wikipedia
hits algorithm
how des algorithm works
how google algorithm works
how md5 algorithm worksalgorithms
how rsa algorithm works
how to c
how to create an algorithm
how to learn c
how to make an algorithm
how to program in c
how to write algorithms
how to write an algorithm
html cours
huffman algorithm
huffman coding algorithm
hummingbird algorithm google
hungarian algorithm
image matching algorithm
image processing algorithms
in c programming language x-=y+1 means
initiation à la programmation
insertion sort algorithm
insertion sort algorithm java
instruction de branchement langage c
instructions du langage c
int langage c
intel c compiler
introduction algorithme
introduction to algorithms
introduction to algorithms mit
introduction to c
introduction to c programming
introduction to data structures
introduction to genetic algorithms
introduction to the design and analysis of algorithms
is learning c necessary
isomorphic algorithm
isomorphic algorithms
iterative algorithm
jpeg compression algorithm
k means algorithm
k means clustering algorithm
k&r;
k&r; c
karatsuba algorithm
kernighan et ritchie
kernighan ritchie
kmp algorithm
knapsack algorithm
knapsack algorithm with example
kruskal algorithm
kruskal's algorithm java
kruskal's algorithm union find
kruskals algorithm
l'instruction break au langage c
l'instruction break darija
la boucle for
la boucle for en langage C
la boucle for langage c
la boucle pour
la boucle while en langage C
la programmation
lanczos algorithm
langage C : La boucle For Partie 2 et Les instructions de branchement inconditionnel
langage C boucle FOR 2/2
langage c
langage c : Exercice 020 Somme de 1 tant que n.mp4
langage c : la boucle for partie 2 et les instructions de branchement inconditionne
langage c : la boucle for partie 2 et les instructions de branchement int
langage c Darija (les pointeur)
- published: 01 Nov 2014
- views: 2107
Leçon 11: Les arbres - Langage C
- Order: Reorder
- Duration: 41:08
- Updated: 30 Nov 2014
- views: 3141
Leçon 11: Les arbres - Langage C
Définitions et propriétés
Type abstrait de données et Implantation
---------------------------
arbre binaire arbre roug...
Leçon 11: Les arbres - Langage C
Définitions et propriétés
Type abstrait de données et Implantation
---------------------------
arbre binaire arbre rouge et noir
arbres binaires de recherche
ensias java
les arbres en langage c
les arbres en c
langage c leçon 11
arbres langage c
cours arbre rouge et noir
arbre binaire
algorithme avancé arbre rouge et noir
leçon 11: c
langage c ensias lecon 11
langage c leã§on 11
lecon11
leçon 11# complément langage c: allocation dynamique
les arbres binaires
langage c les arbre exercice
arbre binaire de recherche
ensias lecon 11 arbree
arbres binaires
exercice arbres rouge et noir
arbre binaire:rouge noir
arbre binaire arbre rouge et noir
les arbre ensias
algorithmique les arbres rouge et noir
les arbres en langage c supprimer
structures donnees arbres rouge-noir
exercice les arbres en langage c
how to learn c
how to make an algorithm
how to program in c
how to write algorithms
how to write an algorithm
html cours
huffman algorithm
huffman coding algorithm
hummingbird algorithm google
hungarian algorithm
image matching algorithm
image processing algorithms
in c programming language x-=y+1 means
initiation à la programmation
insertion sort algorithm
insertion sort algorithm java
instruction de branchement langage c
instructions du langage c
int langage c
intel c compiler
introduction algorithme
introduction to algorithms
introduction to algorithms mit
introduction to c
introduction to c programming
introduction to data structures
introduction to genetic algorithms
introduction to the design and analysis of algorithms
is learning c necessary
isomorphic algorithm
isomorphic algorithms
iterative algorithm
jpeg compression algorithm
k means algorithm
k means clustering algorithm
k&r;
k&r; c
karatsuba algorithm
kernighan et ritchie
kernighan ritchie
kmp algorithm
knapsack algorithm
knapsack algorithm with example
kruskal algorithm
kruskal's algorithm java
kruskal's algorithm union find
kruskals algorithm
l'instruction break au langage c
l'instruction break darija
la boucle for
la boucle for en langage C
la boucle for langage c
la boucle pour
la boucle while en langage C
la programmation
lanczos algorithm
langage C : La boucle For Partie 2 et Les instructions de branchement inconditionnel
langage C boucle FOR 2/2
langage c
langage c : Exercice 020 Somme de 1 tant que n.mp4
langage c : la boucle for partie 2 et les instructions de branchement inconditionne
langage c : la boucle for partie 2 et les instructions de branchement int
langage c Darija (les pointeur)
langage c attendre x seconds
langage c base
langage c bool
langage c boolean
langage c boucle
langage c boucle for
langage c break
langage c chaine de caractere
langage c char
langage c code blocks
langage c cours
langage c cours complet
langage c cours darija
langage c cours debutant
langage c cours et exercices corrigés
langage c cours exercices
langage c cours exercices corrigés pdf
langage c cours pdf
langage c cours ppt
langage c d
langage c define
langage c definition
langage c do while
langage c double
langage c en 2 instructions
langage c et xml
langage c exercice
langage c exercice corrigé
langage c exercice corrigé pdf
langage c exercice et correction
langage c exercice pdf
langage c exercice pointeur
langage c exercice sur les files
langage c exercice tableau
langage c exercices
langage c exercices corrigés
https://wn.com/Leçon_11_Les_Arbres_Langage_C
Leçon 11: Les arbres - Langage C
Définitions et propriétés
Type abstrait de données et Implantation
---------------------------
arbre binaire arbre rouge et noir
arbres binaires de recherche
ensias java
les arbres en langage c
les arbres en c
langage c leçon 11
arbres langage c
cours arbre rouge et noir
arbre binaire
algorithme avancé arbre rouge et noir
leçon 11: c
langage c ensias lecon 11
langage c leã§on 11
lecon11
leçon 11# complément langage c: allocation dynamique
les arbres binaires
langage c les arbre exercice
arbre binaire de recherche
ensias lecon 11 arbree
arbres binaires
exercice arbres rouge et noir
arbre binaire:rouge noir
arbre binaire arbre rouge et noir
les arbre ensias
algorithmique les arbres rouge et noir
les arbres en langage c supprimer
structures donnees arbres rouge-noir
exercice les arbres en langage c
how to learn c
how to make an algorithm
how to program in c
how to write algorithms
how to write an algorithm
html cours
huffman algorithm
huffman coding algorithm
hummingbird algorithm google
hungarian algorithm
image matching algorithm
image processing algorithms
in c programming language x-=y+1 means
initiation à la programmation
insertion sort algorithm
insertion sort algorithm java
instruction de branchement langage c
instructions du langage c
int langage c
intel c compiler
introduction algorithme
introduction to algorithms
introduction to algorithms mit
introduction to c
introduction to c programming
introduction to data structures
introduction to genetic algorithms
introduction to the design and analysis of algorithms
is learning c necessary
isomorphic algorithm
isomorphic algorithms
iterative algorithm
jpeg compression algorithm
k means algorithm
k means clustering algorithm
k&r;
k&r; c
karatsuba algorithm
kernighan et ritchie
kernighan ritchie
kmp algorithm
knapsack algorithm
knapsack algorithm with example
kruskal algorithm
kruskal's algorithm java
kruskal's algorithm union find
kruskals algorithm
l'instruction break au langage c
l'instruction break darija
la boucle for
la boucle for en langage C
la boucle for langage c
la boucle pour
la boucle while en langage C
la programmation
lanczos algorithm
langage C : La boucle For Partie 2 et Les instructions de branchement inconditionnel
langage C boucle FOR 2/2
langage c
langage c : Exercice 020 Somme de 1 tant que n.mp4
langage c : la boucle for partie 2 et les instructions de branchement inconditionne
langage c : la boucle for partie 2 et les instructions de branchement int
langage c Darija (les pointeur)
langage c attendre x seconds
langage c base
langage c bool
langage c boolean
langage c boucle
langage c boucle for
langage c break
langage c chaine de caractere
langage c char
langage c code blocks
langage c cours
langage c cours complet
langage c cours darija
langage c cours debutant
langage c cours et exercices corrigés
langage c cours exercices
langage c cours exercices corrigés pdf
langage c cours pdf
langage c cours ppt
langage c d
langage c define
langage c definition
langage c do while
langage c double
langage c en 2 instructions
langage c et xml
langage c exercice
langage c exercice corrigé
langage c exercice corrigé pdf
langage c exercice et correction
langage c exercice pdf
langage c exercice pointeur
langage c exercice sur les files
langage c exercice tableau
langage c exercices
langage c exercices corrigés
- published: 30 Nov 2014
- views: 3141
Leçon 15: Algorithmes Simples de Tri - Langage C
- Order: Reorder
- Duration: 41:40
- Updated: 30 Nov 2014
- views: 3038
Leçon 15: Algorithmes Simples de Tri - Langage C
Tri à bulles
Tri par sélection
Tri par insertion
Synthèse
---------------------------
#16# algo...
Leçon 15: Algorithmes Simples de Tri - Langage C
Tri à bulles
Tri par sélection
Tri par insertion
Synthèse
---------------------------
#16# algorithme ( les types des tris sur tableau ) # الد
algorithme avancé : algorithme de tri
algorithme d'un tri de tableau par insertion
algorithme de tri
algorithme de tri à bulles
algorithme en c du tri insertion complixité
algorithme langage c
algorithme tri
algorithme tri à bulle
algorithme tri à bulles
algorithme tri par insertion caml
algorithmes de tri
algorithmes de tri en c
algorithmes de tri par insertion
algorithmes de tris
algoritme langahe c
analyse et conception des algorithme
cours de langage c et algorythme
diviser pour regner algorithme de tris
du langage algorithmique au langage c
exercise algorithmique langage c
formation lanagage c , tri
langage algorithmique
langage c avancé
language algorithme pointure
language c lecon 15
language c tri par insertion
leçon 15: algorithmes avancés de tri
leçon 15: arbres - langage c
leçon 16# introduction et vue d'ensemble langage c
leçon 16- algorithmes avancés de tri
leçon 1: algorithmes avancés de tri
les tris en algorithme
lesson n 15 algorithmes simples de tri
lesson n. 15: algorithmes simples de tri
synthse longage
traduction d'un algorithme en langage c (exercice)
tri à bulle animation
tri à bulles
tri a bulles
tri algorithme par selection
tri de selection
tri des tableau algorithme
tri par insertion
tri par sélection
tri par selection
tri par selection algorithme
tri selection algorithme
trie langage c
extended euclidean algorithm example
extended euclidean algorithm gcd
face detection algorithm
face recognition algorithm
facebook algorithm
factorial algorithm
faire switch c
famous algorithms
fft algorithm
fft algorithm nptel
fibonacci algorithm
fiche maternelle algorithme imprimer
financial algorithms
first fit algorithm
flood fill algorithm
floyd algorithm
floyd warshall algorithm
for c
formation c
formation c#
formation delphi
formation programmation
formation programmation informatique
formation visual basic
fortran
forum langage c
heapsort algorithm
heuristic algorithm
heuristic algorithms
hill climbing algorithm
history of c programming language wikipedia
hits algorithm
how des algorithm works
how google algorithm works
how md5 algorithm worksalgorithms
how rsa algorithm works
how to c
how to create an algorithm
how to learn c
how to make an algorithm
how to program in c
how to write algorithms
how to write an algorithm
html cours
huffman algorithm
huffman coding algorithm
hummingbird algorithm google
hungarian algorithm
image matching algorithm
image processing algorithms
in c programming language x-=y+1 means
initiation à la programmation
insertion sort algorithm
insertion sort algorithm java
instruction de branchement langage c
instructions du langage c
int langage c
intel c compiler
introduction algorithme
introduction to algorithms
introduction to algorithms mit
introduction to c
introduction to c programming
introduction to data structures
introduction to genetic algorithms
introduction to the design and analysis of algorithms
is learning c necessary
isomorphic algorithm
isomorphic algorithms
iterative algorithm
jpeg compression algorithm
k means algorithm
k means clustering algorithm
karatsuba algorithm
kernighan et ritchie
kernighan ritchie
https://wn.com/Leçon_15_Algorithmes_Simples_De_Tri_Langage_C
Leçon 15: Algorithmes Simples de Tri - Langage C
Tri à bulles
Tri par sélection
Tri par insertion
Synthèse
---------------------------
#16# algorithme ( les types des tris sur tableau ) # الد
algorithme avancé : algorithme de tri
algorithme d'un tri de tableau par insertion
algorithme de tri
algorithme de tri à bulles
algorithme en c du tri insertion complixité
algorithme langage c
algorithme tri
algorithme tri à bulle
algorithme tri à bulles
algorithme tri par insertion caml
algorithmes de tri
algorithmes de tri en c
algorithmes de tri par insertion
algorithmes de tris
algoritme langahe c
analyse et conception des algorithme
cours de langage c et algorythme
diviser pour regner algorithme de tris
du langage algorithmique au langage c
exercise algorithmique langage c
formation lanagage c , tri
langage algorithmique
langage c avancé
language algorithme pointure
language c lecon 15
language c tri par insertion
leçon 15: algorithmes avancés de tri
leçon 15: arbres - langage c
leçon 16# introduction et vue d'ensemble langage c
leçon 16- algorithmes avancés de tri
leçon 1: algorithmes avancés de tri
les tris en algorithme
lesson n 15 algorithmes simples de tri
lesson n. 15: algorithmes simples de tri
synthse longage
traduction d'un algorithme en langage c (exercice)
tri à bulle animation
tri à bulles
tri a bulles
tri algorithme par selection
tri de selection
tri des tableau algorithme
tri par insertion
tri par sélection
tri par selection
tri par selection algorithme
tri selection algorithme
trie langage c
extended euclidean algorithm example
extended euclidean algorithm gcd
face detection algorithm
face recognition algorithm
facebook algorithm
factorial algorithm
faire switch c
famous algorithms
fft algorithm
fft algorithm nptel
fibonacci algorithm
fiche maternelle algorithme imprimer
financial algorithms
first fit algorithm
flood fill algorithm
floyd algorithm
floyd warshall algorithm
for c
formation c
formation c#
formation delphi
formation programmation
formation programmation informatique
formation visual basic
fortran
forum langage c
heapsort algorithm
heuristic algorithm
heuristic algorithms
hill climbing algorithm
history of c programming language wikipedia
hits algorithm
how des algorithm works
how google algorithm works
how md5 algorithm worksalgorithms
how rsa algorithm works
how to c
how to create an algorithm
how to learn c
how to make an algorithm
how to program in c
how to write algorithms
how to write an algorithm
html cours
huffman algorithm
huffman coding algorithm
hummingbird algorithm google
hungarian algorithm
image matching algorithm
image processing algorithms
in c programming language x-=y+1 means
initiation à la programmation
insertion sort algorithm
insertion sort algorithm java
instruction de branchement langage c
instructions du langage c
int langage c
intel c compiler
introduction algorithme
introduction to algorithms
introduction to algorithms mit
introduction to c
introduction to c programming
introduction to data structures
introduction to genetic algorithms
introduction to the design and analysis of algorithms
is learning c necessary
isomorphic algorithm
isomorphic algorithms
iterative algorithm
jpeg compression algorithm
k means algorithm
k means clustering algorithm
karatsuba algorithm
kernighan et ritchie
kernighan ritchie
- published: 30 Nov 2014
- views: 3038
Inside Intel Compilers: Effective OpenMP SIMD Vectorization ...
- Order: Reorder
- Duration: 1:00:37
- Updated: 13 Dec 2015
- views: 742
Xinmin Tian, Intel Corp.
OpenMP Con 2015 Aachen Germany - September 2015
Abstract: The relentless pace of Moore’s Law will lead to modern multi-core processors...
Xinmin Tian, Intel Corp.
OpenMP Con 2015 Aachen Germany - September 2015
Abstract: The relentless pace of Moore’s Law will lead to modern multi-core processors, coprocessors and GPU designs with extensive on-die integration of SIMD execution units on CPU and GPU cores to achieve better performance and power efficiency. To make efficient use of the underlying SIMD hardware, utilizing its wide vector registers and SIMD instructions such as Xeon Phi™, SIMD vectorization plays a key role of converting plain scalar C/C++/Fortran code into SIMD code that operating on vectors of data each holding one or more elements.Intel® Xeon processors and Xeon Phi™ coprocessors combine abundant thread parallelism with SIMD vector units.
Efficiently exploiting SIMD vector units is one of the most important aspects in achieving high performance of the application code running on Intel® Xeon and Xeon Phi™.In this paper, we present Intel® compiler framework that supports OpenMP4.0/4.1 SIMD extensions, and also present a set of key vectorization techniques such as function vectorization, masking support, uniformity and linearity propagation, alignment optimization, gather/scatter optimization, remainder and peeling loop vectorization that are implemented inside the Intel® C/C++ and Fortran product compilers for Intel® Xeon processors and Xeon Phi™ coprocessors.
A set of workloads from several application domains is employed to conduct the performance study of our SIMD vectorization techniques. The performance results show that we achieved up to 3x to ~12x performance gain on the Intel® Xeon processors and Xeon Phi™ coprocessors that illustrate how the power of compiler can be harnessed with minimum programmer efforts to enable effective SIMD parallelism. We also demonstrate a speedup ranging from ~100x to ~2000x with the seamless integration of SIMD vectorization and parallelization.
https://wn.com/Inside_Intel_Compilers_Effective_Openmp_Simd_Vectorization_...
Xinmin Tian, Intel Corp.
OpenMP Con 2015 Aachen Germany - September 2015
Abstract: The relentless pace of Moore’s Law will lead to modern multi-core processors, coprocessors and GPU designs with extensive on-die integration of SIMD execution units on CPU and GPU cores to achieve better performance and power efficiency. To make efficient use of the underlying SIMD hardware, utilizing its wide vector registers and SIMD instructions such as Xeon Phi™, SIMD vectorization plays a key role of converting plain scalar C/C++/Fortran code into SIMD code that operating on vectors of data each holding one or more elements.Intel® Xeon processors and Xeon Phi™ coprocessors combine abundant thread parallelism with SIMD vector units.
Efficiently exploiting SIMD vector units is one of the most important aspects in achieving high performance of the application code running on Intel® Xeon and Xeon Phi™.In this paper, we present Intel® compiler framework that supports OpenMP4.0/4.1 SIMD extensions, and also present a set of key vectorization techniques such as function vectorization, masking support, uniformity and linearity propagation, alignment optimization, gather/scatter optimization, remainder and peeling loop vectorization that are implemented inside the Intel® C/C++ and Fortran product compilers for Intel® Xeon processors and Xeon Phi™ coprocessors.
A set of workloads from several application domains is employed to conduct the performance study of our SIMD vectorization techniques. The performance results show that we achieved up to 3x to ~12x performance gain on the Intel® Xeon processors and Xeon Phi™ coprocessors that illustrate how the power of compiler can be harnessed with minimum programmer efforts to enable effective SIMD parallelism. We also demonstrate a speedup ranging from ~100x to ~2000x with the seamless integration of SIMD vectorization and parallelization.
- published: 13 Dec 2015
- views: 742
Codigo Linux El Comienzo del Pirateo Documentales
- Order: Reorder
- Duration: 51:17
- Updated: 21 Nov 2014
- views: 1888
El núcleo Linux, ha sido marcado por un crecimiento constante en cada momento de su historia. Desde la primera publicación de su código fuente en 1991, nacido d...
El núcleo Linux, ha sido marcado por un crecimiento constante en cada momento de su historia. Desde la primera publicación de su código fuente en 1991, nacido desde un pequeño número de archivos en lenguaje C bajo una licencia que prohíbe la distribución comercial a su estado actual de cerca de 296 MiBs de fuente bajo la Licencia pública general de GNU.
Antecedentes[editar]
Máscota oficial de GNU.
Richard Matthew Stallman, fundador de la Fundación del Software Libre y del Proyecto GNU.
En 1983 Richard Stallman inició el ambicioso Proyecto GNU, con el propósito de crear un sistema operativo similar y compatible con UNIX y los estándares POSIX. Dos años más tarde, 1985, creó la Fundación del Software Libre (FSF) y desarrolló la Licencia pública general de GNU (GNU GPL), para tener un marco legal que permitiera difundir libremente el software. De este modo el software de GNU fue desarrollado muy rápidamente, y por muchas personas. A corto plazo, se desarrolló una multiplicidad de programas, de modo que a principios de los años 1990 había casi bastante software disponible como para crear un sistema operativo completo. Sin embargo, todavía le faltaba un núcleo.
Esto debía ser desarrollado en el proyecto GNU Hurd, pero Hurd demostró desarrollarse muy inactivamente, porque encontrar y reparar errores (eliminación de fallos, debugging en inglés) era muy difícil, debido a las características técnicas del diseño del micronúcleo.
Otro proyecto de sistema operativo software libre, en los años 1980 fue BSD. Este fue desarrollado en la Universidad de Berkeley desde la 6.ª edición de Unix de AT&T;. Puesto que el código de AT&T; Unix estaba contenido en BSD, AT&T; presentó una demanda a principios de los años 1990 contra la Universidad de Berkeley, la cual limitó el desarrollo de BSD y redujo el desarrollo. Así a principios de los años 1990 no produjo ningún sistema completo libre.
El futuro de BSD era incierto debido al pleito y detuvo el desarrollo. Además, el Proyecto GNU gradualmente se desarrollaba pero, este carecía de un bien formado núcleo UNIX. Esto dejó un nicho crítico abierto, que Linux llenaría muy pronto
Aparición de Linux[editar]
Desarrollo del núcleo Linux[editar]
Máscota oficial de Linux
Linus Torvalds, creador del núcleo Linux
En 1991,1 en Helsinki, Linus Torvalds comenzó un proyecto que más tarde llegó a ser el núcleo Linux. Esto fue al principio un emulador terminal, al cual Torvalds solía tener acceso en los grandes servidores UNIX de la universidad. Él escribió el programa expresamente para el hardware que usaba, e independiente de un sistema operativo, porque quiso usar las funciones de su nueva computadora personal con un procesador 80386. Este es aún el estándar de hoy. El sistema operativo que él usó durante el desarrollo fue Minix, y el compilador inicial fue el GNU C compiler, que aún es la opción principal para compilar Linux hoy (aunque Linux puede ser compilado bajo otros compiladores, tal como el Intel C Compiler).
Como Torvalds escribió en su libro "Solamente por diversión"),2 él tarde o temprano comprendió que había escrito un núcleo de sistema operativo. El 25 de agosto de 1991, 20:57:08 GMT, anunció este sistema en un envío a la red Usenet, en el newsgroup (grupo de noticias): comp.os.minix.:
Hello everybody out there using minix -
I'm doing a (free) operating system (just a hobby, won't be big and professional like gnu) for 386(486) AT clones. This has been brewing since april, and is starting to get ready. I'd like any feedback on things people like/dislike in minix, as my OS resembles it somewhat (same physical layout of the file-system (due to practical reasons) among other things). ++++++++++
Best Network wins more money with your youtube channel CPM of $ 3 to $ 30,
and in my channel I've seen higher of $ 30 per 1000 views :) and pays 70%
more than other networks
Las mejores Network Gana Mas dinero con tu canal de youtube CPM de $ 3 a $ 30,
y en mi canal lo he visto mas alto de $30 por cada 1000 vistas :) y paga 70%
mas que en otras networks
1st) Zoomin.TV 70%: Of the five networks Zoomin.TV is the best CPM Very high
1º) Zoomin.TV 70%: De las cinco networks Zoomin.TV es la mejor CPM Muy altos
https://goo.gl/kvPEji
2st) Scalelab 70%: I readily accept
2ª) Scalelab : Te aceptan con facilidad
https://goo.gl/pV0WDN
3nd) GT Channel 70%: You accept easily
3ª) GT Channel : Te aceptan con facilidad
https://goo.gl/yykieF
4rd) Freedom 60%: You accept easily
4ª) Freedom : Te aceptan con facilidad
https://goo.gl/ZX2Ze3
5th) Recstudios 70%: You have to have 200 daily views on your channel for you to accept
5ª) Recstudios : Tienes que tener 200 vistas diarias en tu canal para que te acepten
https://goo.gl/YmMB5h
https://wn.com/Codigo_Linux_El_Comienzo_Del_Pirateo_Documentales
El núcleo Linux, ha sido marcado por un crecimiento constante en cada momento de su historia. Desde la primera publicación de su código fuente en 1991, nacido desde un pequeño número de archivos en lenguaje C bajo una licencia que prohíbe la distribución comercial a su estado actual de cerca de 296 MiBs de fuente bajo la Licencia pública general de GNU.
Antecedentes[editar]
Máscota oficial de GNU.
Richard Matthew Stallman, fundador de la Fundación del Software Libre y del Proyecto GNU.
En 1983 Richard Stallman inició el ambicioso Proyecto GNU, con el propósito de crear un sistema operativo similar y compatible con UNIX y los estándares POSIX. Dos años más tarde, 1985, creó la Fundación del Software Libre (FSF) y desarrolló la Licencia pública general de GNU (GNU GPL), para tener un marco legal que permitiera difundir libremente el software. De este modo el software de GNU fue desarrollado muy rápidamente, y por muchas personas. A corto plazo, se desarrolló una multiplicidad de programas, de modo que a principios de los años 1990 había casi bastante software disponible como para crear un sistema operativo completo. Sin embargo, todavía le faltaba un núcleo.
Esto debía ser desarrollado en el proyecto GNU Hurd, pero Hurd demostró desarrollarse muy inactivamente, porque encontrar y reparar errores (eliminación de fallos, debugging en inglés) era muy difícil, debido a las características técnicas del diseño del micronúcleo.
Otro proyecto de sistema operativo software libre, en los años 1980 fue BSD. Este fue desarrollado en la Universidad de Berkeley desde la 6.ª edición de Unix de AT&T;. Puesto que el código de AT&T; Unix estaba contenido en BSD, AT&T; presentó una demanda a principios de los años 1990 contra la Universidad de Berkeley, la cual limitó el desarrollo de BSD y redujo el desarrollo. Así a principios de los años 1990 no produjo ningún sistema completo libre.
El futuro de BSD era incierto debido al pleito y detuvo el desarrollo. Además, el Proyecto GNU gradualmente se desarrollaba pero, este carecía de un bien formado núcleo UNIX. Esto dejó un nicho crítico abierto, que Linux llenaría muy pronto
Aparición de Linux[editar]
Desarrollo del núcleo Linux[editar]
Máscota oficial de Linux
Linus Torvalds, creador del núcleo Linux
En 1991,1 en Helsinki, Linus Torvalds comenzó un proyecto que más tarde llegó a ser el núcleo Linux. Esto fue al principio un emulador terminal, al cual Torvalds solía tener acceso en los grandes servidores UNIX de la universidad. Él escribió el programa expresamente para el hardware que usaba, e independiente de un sistema operativo, porque quiso usar las funciones de su nueva computadora personal con un procesador 80386. Este es aún el estándar de hoy. El sistema operativo que él usó durante el desarrollo fue Minix, y el compilador inicial fue el GNU C compiler, que aún es la opción principal para compilar Linux hoy (aunque Linux puede ser compilado bajo otros compiladores, tal como el Intel C Compiler).
Como Torvalds escribió en su libro "Solamente por diversión"),2 él tarde o temprano comprendió que había escrito un núcleo de sistema operativo. El 25 de agosto de 1991, 20:57:08 GMT, anunció este sistema en un envío a la red Usenet, en el newsgroup (grupo de noticias): comp.os.minix.:
Hello everybody out there using minix -
I'm doing a (free) operating system (just a hobby, won't be big and professional like gnu) for 386(486) AT clones. This has been brewing since april, and is starting to get ready. I'd like any feedback on things people like/dislike in minix, as my OS resembles it somewhat (same physical layout of the file-system (due to practical reasons) among other things). ++++++++++
Best Network wins more money with your youtube channel CPM of $ 3 to $ 30,
and in my channel I've seen higher of $ 30 per 1000 views :) and pays 70%
more than other networks
Las mejores Network Gana Mas dinero con tu canal de youtube CPM de $ 3 a $ 30,
y en mi canal lo he visto mas alto de $30 por cada 1000 vistas :) y paga 70%
mas que en otras networks
1st) Zoomin.TV 70%: Of the five networks Zoomin.TV is the best CPM Very high
1º) Zoomin.TV 70%: De las cinco networks Zoomin.TV es la mejor CPM Muy altos
https://goo.gl/kvPEji
2st) Scalelab 70%: I readily accept
2ª) Scalelab : Te aceptan con facilidad
https://goo.gl/pV0WDN
3nd) GT Channel 70%: You accept easily
3ª) GT Channel : Te aceptan con facilidad
https://goo.gl/yykieF
4rd) Freedom 60%: You accept easily
4ª) Freedom : Te aceptan con facilidad
https://goo.gl/ZX2Ze3
5th) Recstudios 70%: You have to have 200 daily views on your channel for you to accept
5ª) Recstudios : Tienes que tener 200 vistas diarias en tu canal para que te acepten
https://goo.gl/YmMB5h
- published: 21 Nov 2014
- views: 1888
QtWS15- Writing better code with help from Qt and the compiler, Thiago Macieira, Intel
- Order: Reorder
- Duration: 48:40
- Updated: 22 Oct 2015
- views: 1275
Writing better code with help from Qt and the compiler:
Traditionally, getting the most out of a processor required writing assembly code that used specialised ...
Writing better code with help from Qt and the compiler:
Traditionally, getting the most out of a processor required writing assembly code that used specialised instructions to accomplish some particular tasks. And though that's still widely used, processors are very complex and maintaining assembly code by hand is a hard and tedious task. Add to that the fact that processors evolve and getting the timings right of each generation is better left to the compiler.
A little known feature of the compilers is that it is possible to get access to certain instructions from high-level C and C++ code, by way of intrinsic functions, thus allowing developers of native code to get very close to bare metal performance. Yet modern compilers can offer more functionality to help the bold developer write better code. For example, GCC can offer an automatic way of dispatching to different functions based on the architecture the code is being run on. Both GCC and the Intel compiler also allow code for multiple targets to be written in one single C or C++ source file, thereby allowing for better optimisation by way of inlines and dead code elimination.
All is well and good if you know exactly which compiler you're using. When one has to deal with multiple compilers, like Qt routinely has to, things may get tricky. If the objective is to write optimal code for important, hot code paths, we don't want to settle for "lowest common denominator" of compiler support. To make sure we don't fall into that trap, Qt has a series of macros and both compile- and run-time processor feature detection support to generate the best code given the environment in use.
This presentation will present those techniques and show which ones work on GCC, Clang, the Intel compiler and Microsoft Visual Studio. It will also show how to get more information on which intrinsics exist and what they do. It will draw heavily upon the presenter's experience implementing this very type of optimisations for Qt 5.3 and 5.3.
https://wn.com/Qtws15_Writing_Better_Code_With_Help_From_Qt_And_The_Compiler,_Thiago_Macieira,_Intel
Writing better code with help from Qt and the compiler:
Traditionally, getting the most out of a processor required writing assembly code that used specialised instructions to accomplish some particular tasks. And though that's still widely used, processors are very complex and maintaining assembly code by hand is a hard and tedious task. Add to that the fact that processors evolve and getting the timings right of each generation is better left to the compiler.
A little known feature of the compilers is that it is possible to get access to certain instructions from high-level C and C++ code, by way of intrinsic functions, thus allowing developers of native code to get very close to bare metal performance. Yet modern compilers can offer more functionality to help the bold developer write better code. For example, GCC can offer an automatic way of dispatching to different functions based on the architecture the code is being run on. Both GCC and the Intel compiler also allow code for multiple targets to be written in one single C or C++ source file, thereby allowing for better optimisation by way of inlines and dead code elimination.
All is well and good if you know exactly which compiler you're using. When one has to deal with multiple compilers, like Qt routinely has to, things may get tricky. If the objective is to write optimal code for important, hot code paths, we don't want to settle for "lowest common denominator" of compiler support. To make sure we don't fall into that trap, Qt has a series of macros and both compile- and run-time processor feature detection support to generate the best code given the environment in use.
This presentation will present those techniques and show which ones work on GCC, Clang, the Intel compiler and Microsoft Visual Studio. It will also show how to get more information on which intrinsics exist and what they do. It will draw heavily upon the presenter's experience implementing this very type of optimisations for Qt 5.3 and 5.3.
- published: 22 Oct 2015
- views: 1275
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4:04
Inside New Intel C++ Compiler 16.0
Intel C++ Compiler 16.0, which is part of Intel Parallel Studio XE 2016, is the latest inc...
published: 10 Aug 2015
Inside New Intel C++ Compiler 16.0
Inside New Intel C++ Compiler 16.0
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- published: 10 Aug 2015
- views: 2175
6:15
Compiling Vectorized Code with the Intel C++ Compiler
The Intel compiler can autovectorize your code. However, you want to be able to know for s...
published: 06 Jan 2014
Compiling Vectorized Code with the Intel C++ Compiler
Compiling Vectorized Code with the Intel C++ Compiler
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- published: 06 Jan 2014
- views: 2318
5:41
Using the Intel® C++ Compiler with Microsoft Visual Studio 2012
published: 09 Nov 2013
Using the Intel® C++ Compiler with Microsoft Visual Studio 2012
Using the Intel® C++ Compiler with Microsoft Visual Studio 2012
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- published: 09 Nov 2013
- views: 835
68:47
Лекция 4: Инструменты оптимизации приложений: Intel C++ Compiler и библиотека Intel®
Лекция представляет собой обзор матричных возможностей библиотеки Intel Integrated Perform...
published: 10 Feb 2014
Лекция 4: Инструменты оптимизации приложений: Intel C++ Compiler и библиотека Intel®
Лекция 4: Инструменты оптимизации приложений: Intel C++ Compiler и библиотека Intel®
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- published: 10 Feb 2014
- views: 629
3:49
Configuring Intel C++ Compiler to generate Assembly Code
When writing parallel code, it's often useful to look at the generated assembly code to he...
published: 21 Feb 2014
Configuring Intel C++ Compiler to generate Assembly Code
Configuring Intel C++ Compiler to generate Assembly Code
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- published: 21 Feb 2014
- views: 1602
3:44
Intel® Cilk™ Plus Part of the Intel C++ Compiler
published: 09 Nov 2013
Intel® Cilk™ Plus Part of the Intel C++ Compiler
Intel® Cilk™ Plus Part of the Intel C++ Compiler
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- published: 09 Nov 2013
- views: 329
1:13
Game Development Tools for Web: Emscripten. Part 29. Intel C/C++ Compiler
HINT:
https://software.intel.com/en-us/intel-parallel-studio-xe
published: 28 Nov 2014
Game Development Tools for Web: Emscripten. Part 29. Intel C/C++ Compiler
Game Development Tools for Web: Emscripten. Part 29. Intel C/C++ Compiler
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- published: 28 Nov 2014
- views: 308
3:56
Install Intel compiler on CentOS 6
This video will guide you on how to install Intel compiler, in this case Intel Parallel XE...
published: 07 Oct 2014
Install Intel compiler on CentOS 6
Install Intel compiler on CentOS 6
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- published: 07 Oct 2014
- views: 1649
60:37
Inside Intel Compilers: Effective OpenMP SIMD Vectorization ...
Xinmin Tian, Intel Corp.
OpenMP Con 2015 Aachen Germany - September 2015
Abstract: The re...
published: 13 Dec 2015
Inside Intel Compilers: Effective OpenMP SIMD Vectorization ...
Inside Intel Compilers: Effective OpenMP SIMD Vectorization ...
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- published: 13 Dec 2015
- views: 742
82:53
Gottschlich: Intel's C++ STM Compiler and Transactional Language Constructs for C++
Transactional memory (TM) promises to simplify parallel programming by moving the complexi...
published: 29 Oct 2013
Gottschlich: Intel's C++ STM Compiler and Transactional Language Constructs for C++
Gottschlich: Intel's C++ STM Compiler and Transactional Language Constructs for C++
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- published: 29 Oct 2013
- views: 324
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3:44
Intel® Cilk™ Plus Part of the Intel C++ Compiler
published: 09 Nov 2013
Intel® Cilk™ Plus Part of the Intel C++ Compiler
Intel® Cilk™ Plus Part of the Intel C++ Compiler
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- published: 09 Nov 2013
- views: 325
5:41
Using the Intel® C++ Compiler with Microsoft Visual Studio 2012
published: 09 Nov 2013
Using the Intel® C++ Compiler with Microsoft Visual Studio 2012
Using the Intel® C++ Compiler with Microsoft Visual Studio 2012
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- published: 09 Nov 2013
- views: 826
13:34
Pt 2 of 4 Using Intel® C++ Compiler for Embedded Systems
published: 09 Nov 2013
Pt 2 of 4 Using Intel® C++ Compiler for Embedded Systems
Pt 2 of 4 Using Intel® C++ Compiler for Embedded Systems
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- published: 09 Nov 2013
- views: 31
12:11
Pt 3 of 4 Using Intel® C++ Compiler for Embedded Systems
published: 09 Nov 2013
Pt 3 of 4 Using Intel® C++ Compiler for Embedded Systems
Pt 3 of 4 Using Intel® C++ Compiler for Embedded Systems
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- published: 09 Nov 2013
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14:17
Pt 4 of 4 Using Intel® C++ Compiler for Embedded Systems
published: 09 Nov 2013
Pt 4 of 4 Using Intel® C++ Compiler for Embedded Systems
Pt 4 of 4 Using Intel® C++ Compiler for Embedded Systems
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- published: 09 Nov 2013
- views: 26
4:04
Inside New Intel C++ Compiler 16.0
Intel C++ Compiler 16.0, which is part of Intel Parallel Studio XE 2016, is the latest inc...
published: 10 Aug 2015
Inside New Intel C++ Compiler 16.0
Inside New Intel C++ Compiler 16.0
- Report rights infringement
- published: 10 Aug 2015
- views: 2127
6:15
Compiling Vectorized Code with the Intel C++ Compiler
The Intel compiler can autovectorize your code. However, you want to be able to know for s...
published: 06 Jan 2014
Compiling Vectorized Code with the Intel C++ Compiler
Compiling Vectorized Code with the Intel C++ Compiler
- Report rights infringement
- published: 06 Jan 2014
- views: 2287
4:20
Game Development Tools for Web: Emscripten. Part 42. Build Fastcomp: Intel C/C++ Compiler
HINT:
PATH: w:\tools\incoming\emscripten-fastcomp\build-intel64\
cmake .. -T "Intel C++ C...
published: 30 Nov 2014
Game Development Tools for Web: Emscripten. Part 42. Build Fastcomp: Intel C/C++ Compiler
Game Development Tools for Web: Emscripten. Part 42. Build Fastcomp: Intel C/C++ Compiler
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- published: 30 Nov 2014
- views: 249
1:13
Game Development Tools for Web: Emscripten. Part 29. Intel C/C++ Compiler
HINT:
https://software.intel.com/en-us/intel-parallel-studio-xe
published: 28 Nov 2014
Game Development Tools for Web: Emscripten. Part 29. Intel C/C++ Compiler
Game Development Tools for Web: Emscripten. Part 29. Intel C/C++ Compiler
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- published: 28 Nov 2014
- views: 303
3:50
Use GNU C++ and Intel Compilers with OpenMP
Most compilers today support OpenMP. Jeff Cogswell shows you how to compile OpenMP program...
published: 06 Aug 2014
Use GNU C++ and Intel Compilers with OpenMP
Use GNU C++ and Intel Compilers with OpenMP
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- published: 06 Aug 2014
- views: 1608
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1:08:47
Лекция 4: Инструменты оптимизации приложений: Intel C++ Compiler и библиотека Intel®
Лекция представляет собой обзор матричных возможностей библиотеки Intel Integrated Perform...
published: 10 Feb 2014
Лекция 4: Инструменты оптимизации приложений: Intel C++ Compiler и библиотека Intel®
Лекция 4: Инструменты оптимизации приложений: Intel C++ Compiler и библиотека Intel®
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- published: 10 Feb 2014
- views: 629
56:15
Programming Magic — Episode 1 — Mana
And so we kick things off with the first screencast! In this screencast we set up our proj...
published: 14 Apr 2015
Programming Magic — Episode 1 — Mana
Programming Magic — Episode 1 — Mana
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- published: 14 Apr 2015
- views: 3435
1:33:29
Sourcery - episode 1: Register File
Let's write an emulator, from scratch! We're writing an Intel x86 emulator. Twice a week, ...
published: 28 Oct 2016
Sourcery - episode 1: Register File
Sourcery - episode 1: Register File
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- published: 28 Oct 2016
- views: 1509
1:22:53
Gottschlich: Intel's C++ STM Compiler and Transactional Language Constructs for C++
Transactional memory (TM) promises to simplify parallel programming by moving the complexi...
published: 29 Oct 2013
Gottschlich: Intel's C++ STM Compiler and Transactional Language Constructs for C++
Gottschlich: Intel's C++ STM Compiler and Transactional Language Constructs for C++
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- published: 29 Oct 2013
- views: 323
43:36
Leçon 11: Conception de programmes: complexité des algorithmes - Langage C
Leçon 11: Conception de programmes: complexité des algorithmes - Langage C
Complexité tem...
published: 01 Nov 2014
Leçon 11: Conception de programmes: complexité des algorithmes - Langage C
Leçon 11: Conception de programmes: complexité des algorithmes - Langage C
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- published: 01 Nov 2014
- views: 2107
41:08
Leçon 11: Les arbres - Langage C
Leçon 11: Les arbres - Langage C
Définitions et propriétés
Type abstrait de donnée...
published: 30 Nov 2014
Leçon 11: Les arbres - Langage C
Leçon 11: Les arbres - Langage C
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- published: 30 Nov 2014
- views: 3141
41:40
Leçon 15: Algorithmes Simples de Tri - Langage C
Leçon 15: Algorithmes Simples de Tri - Langage C
Tri à bulles
Tri par sélection
...
published: 30 Nov 2014
Leçon 15: Algorithmes Simples de Tri - Langage C
Leçon 15: Algorithmes Simples de Tri - Langage C
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- published: 30 Nov 2014
- views: 3038
1:00:37
Inside Intel Compilers: Effective OpenMP SIMD Vectorization ...
Xinmin Tian, Intel Corp.
OpenMP Con 2015 Aachen Germany - September 2015
Abstract: The re...
published: 13 Dec 2015
Inside Intel Compilers: Effective OpenMP SIMD Vectorization ...
Inside Intel Compilers: Effective OpenMP SIMD Vectorization ...
- Report rights infringement
- published: 13 Dec 2015
- views: 742
51:17
Codigo Linux El Comienzo del Pirateo Documentales
El núcleo Linux, ha sido marcado por un crecimiento constante en cada momento de su histor...
published: 21 Nov 2014
Codigo Linux El Comienzo del Pirateo Documentales
Codigo Linux El Comienzo del Pirateo Documentales
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- published: 21 Nov 2014
- views: 1888
48:40
QtWS15- Writing better code with help from Qt and the compiler, Thiago Macieira, Intel
Writing better code with help from Qt and the compiler:
Traditionally, getting the most ou...
published: 22 Oct 2015
QtWS15- Writing better code with help from Qt and the compiler, Thiago Macieira, Intel
QtWS15- Writing better code with help from Qt and the compiler, Thiago Macieira, Intel
- Report rights infringement
- published: 22 Oct 2015
- views: 1275
Лекция 4: Инструменты оптимизации приложений: Inte...
Programming Magic — Episode 1 — Mana...
Sourcery - episode 1: Register File...
Gottschlich: Intel's C++ STM Compiler and Transact...
Leçon 11: Conception de programmes: complexité des...
Leçon 11: Les arbres - Langage C...
Leçon 15: Algorithmes Simples de Tri - Langage C...
Inside Intel Compilers: Effective OpenMP SIMD Vect...
Codigo Linux El Comienzo del Pirateo Documentales...
QtWS15- Writing better code with help from Qt and ...
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Obama Has Refused to Deport 820,000 Illegal Immigrants Guilty of Murder, Rape, Drug Offenses, and ...
Edit Breitbart 19 Dec 2016back
Police Make Troubling Discovery In Michael Jackson's Home
Edit Opposing Views 18 Dec 2016
Police have finally revealed the disturbing discovery they made in now-deceased pop star Michael Jackson's home in 2003. A newly-released police report revealed that a search of the singer's secluded Neverland Ranch home in November 2003 turned up vast amounts of pornographic material featuring young men, women and children. Pictures of animal torture and S&M; bondage were also reportedly found in the home....
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Beijing sees U.S. drone as part of South China Sea spying efforts
Edit Deccan Herald 19 Dec 2016
An underwater drone taken by a Chinese naval vessel in the South China Sea last week is part of U.S. surveillance efforts in the disputed waterway, but Beijing won't likely make a big fuss about its handover, Chinese state media and experts said. U.S ... The drone, known as an unmanned underwater vehicle (UUV), was taken on Thursday, the first seizure of its kind in recent memory ... China is deeply suspicious of any U.S ... The ... The 24 U.S ... ....
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Zsa Zsa Gabor: A rare, unforgettable celebrity
Edit The Jakarta Post 19 Dec 2016
You didn't have to know exactly who she was to appreciate Zsa Zsa Gabor. She belonged to a rare, hard-to-catalog vintage of celebrity, not only the great-aunt of Paris Hilton, but a true ancestor of Hilton's jet-set flamboyance ... But none of this fully accounts for the enduring recognition she enjoyed and cultivated. Maybe she just knew how to work it. Maybe it happened above and beyond her control ... She was playful and outspoken ... ....
Samsung refreshes its thin and light Notebook 9 with Intel’s latest processors
Edit The Verge 19 Dec 2016Seoul, Tokyo Share Intel on N.Korea's Nukes
Edit Chosun Ilbo 19 Dec 2016
Seoul and Tokyo have already started sharing intelligence on North Korea's nuclear weapons and missiles under a bilateral pact that went into effect on Nov. 23. "The two countries shared intelligence on the nuclear and missile threats from the North at a meeting at the Defense Ministry this morning,... ....
13-Inch MacBook Pro With Touch Bar Challenged By Razer Blade Stealth
Edit Inquisitr 19 Dec 2016
As Ackerman notes, however, the price of the Touch Bar Pro — which starts at $1,799 for the Pro with an Intel Core i5 processor and 8GB of RAM — is very pricy when compared to the competition ... The $1,399 version of the Stealth includes a 12.5-inch Quad HD screen, a 7th generation (Kaby Lake) Intel i7 processor, 16GB of RAM, and a 512GB SSD....
Micromax Alpha laptop: Good for moderate office, home use
Edit Yahoo Daily News 19 Dec 2016
Priced at Rs 26,990, the Alpha LI351568W runs on the Windows 10 operating system with Intel architecture and weighs 2.1 kg. Here is what works for the device ... The Intel Core i3-5005U processor integrated with 6GB of RAM is due to give decent (but not extraordinary) performance owing to entry-level components -- be it surfing the web, composing documents, viewing photos and running basic photo-editing software like Adobe Photoshop....
Micromax Alpha laptop: Good for moderate office, home use (Tech Review)
Edit Newstrack India 19 Dec 2016
Priced at Rs 26,990, the Alpha LI351568W runs on the Windows 10 operating system with Intel architecture and weighs 2.1 kg. Here is what works for the device ... The Intel Core i3-5005U processor integrated with 6GB of RAM is due to give decent (but not extraordinary) performance owing to entry-level components -- be it surfing the web, composing documents, viewing photos and running basic photo-editing software like Adobe Photoshop ... ....
Xiaomi teases new Mi Notebook Air with 4G LTE connectivity; here’s everything we know so far
Edit BGR 19 Dec 2016
In terms of hardware, there are little chances of major upgrades ... The Mi Notebook Air weighs just 1.07 kg (12.5-inch) and is powered by an Intel Core M3 processor, 4GB RAM, 128GB SSD with expandable storage option, Dolby Digital sound system, and runs Windows 10 ... The bigger model at 13.3-inch comes with Intel Core i5 processor, 8GB RAM, NVIDIA GeForce 940MX graphics card, 256GB PCIe solid-state drive (SSD) and also runs Windows 10....
Yatra to be listed on Nasdaq today
Edit Deccan Chronicle 19 Dec 2016
New Delhi. Online travel firm Yatra Online Inc will be listed on the American stock exchange, Nasdaq, under the ticker symbol "YTRA" with effect from today ... Commenting on the development, Yatra Co-founder and CEO Dhruv Shringi said ... Founded in 2006, Yatra has investors comprising of Reliance Capital, IDG Ventures, Norwest Venture Partners, Valiant, Network 18, Vertex Ventures, Macquarie, Intel Capital and RVCF ... ....
Terrorists ambushed army convoy at Pampore despite intel warning: report
Edit Deccan Chronicle 19 Dec 2016
Pampore (J&K). Intelligence agencies had sent warnings of a ‘possible terror attack’ on Indian security forces 24 hours before a convoy of Rashtriya Rifles was ambushed near the Kadlibal area in Pampore town on Saturday afternoon ... It even had specifics that there was a strong possibility that convoys would be targeted using Improvised Explosive Devices (IEDs) ... Read ... ....
Switching gears, Canada's BlackBerry to open autonomous vehicle hub
Edit Deccan Chronicle 19 Dec 2016
Prime Minister Justin Trudeau will attend the launch by the Waterloo, Ontario-based smartphone pioneer, the prime minister's office said on Sunday ... Risks remain, including the challenge from chipmakers such as Intel Corp who, eyeing demand for their processors in future robot cars, could discount or give away their own security and safety software in order to sell more hardware ... ....
BlackBerry to open autonomous vehicle hub
Edit Venture Beat 19 Dec 2016
Prime Minister Justin Trudeau will attend the launch by the Waterloo, Ontario-based smartphone pioneer, the prime minister’s office said on Sunday ... Risks remain, including the challenge from chipmakers such as Intel Corp who, eyeing demand for their processors in future robot cars, could discount or give away their own security and safety software in order to sell more hardware ... ....
So what attracted tech bosses to the billionaire president-elect Donald Trump?
Edit The Guardian 19 Dec 2016
On Wednesday, a curious spectacle could be observed in New York ... The roll call of assembled tech moguls ran as follows. Satya Natella and Brad Smith (Microsoft), Jeff Bezos (Amazon), Larry Page and Eric Schmidt (Alphabet, Google’s holding company), Sheryl Sandberg (Facebook), Tim Cook (Apple), Elon Musk (Tesla), Ginni Rometty (IBM), Safra Catz (Oracle), Chuck Robbins (Cisco), Alex Karp (Palantir) and Brian Krzanich (Intel) ... Why? ... ....
Everything you need to know about the iPhone’s first “Super Mario” game
Edit Denver Post 19 Dec 2016
Nintendo is really getting serious about its play for mobile screens, launching its first real smartphone game starring its most iconic character. Mario ... Related Articles. December 15, 2016 “Arcade re-imagined” FTW joins Lucky Strike atop Denver Pavilions December 14, 2016 Google shares what Denver searched for in 2016 December 4, 2016 Sunday’s Denver Broncos game to get some virtual reality Intel. So far, so good ... ....
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