- published: 26 Oct 2015
- views: 281
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This video walks through the history, benefits, and methods of GPGPU.
I do not claim to own every video and image above, all rights to their respective owners.
The modern GPU can be used as a general-purpose processor. This field of "GPGPU" (general-purpose programmability of graphics hardware) or "GPU computing" is having an increasing impact on GPU architecture, GPU software and programming environments, and the computing industry. These two lectures discuss the fundamentals of GPGPU: the programming model, the hardware and some fundamental algorithms. We use NVIDIA's CUDA and G80 architecture as a representative example.
- published: 09 Feb 2010
- views: 14578
The modern GPU can be used as a general-purpose processor. This field of "GPGPU" (general-purpose programmability of graphics hardware) or "GPU computing" is having an increasing impact on GPU architecture, GPU software and programming environments, and the computing industry. These two lectures discuss the fundamentals of GPGPU: the programming model, the hardware, and some fundamental algorithms. We use NVIDIA's CUDA and G80 architecture as a representative example.
- published: 09 Feb 2010
- views: 5156
Managing the massive volume of data for financial analysis has been a great challenge for financial services institutions and banks, and it comes with very complex computational problems. Hanweck and Associates is helping financial institutions solve their complex computing challenges by harnessing the power of GPUs through NVIDIA Parallel Nsight, which makes GPGPU possible within the Microsoft Visual Studio environment, delivering accurate results faster. Watch the video to learn more about the benefits of developing on GPUs using Parallel Nsight and Microsoft Visual Studio.
- published: 26 Jan 2011
- views: 5170
Visual comparison of the computing performance between three different GPGPU platforms. The related paper and source code have been published in the book Game Engine Gems 2: http://www.gameenginegems.net/
- published: 12 Jan 2012
- views: 22000
Tïtulo: Introducción al Diseño y Arquitectura de Aceleradores GPGPU
Ponente: Francisco Javier García Blas (UC3M)
El uso de aceleradores gráficos es una de las tecnologías que se están empleando tanto en el mercado del entretenimiento como en el científico. Gracias a estos dispositivos masivamente paralelos es posible reducir considerablemente el tiempo de ejecución de muchas de las aplicaciones de hoy en día. En este curso se introducen aspectos como la evolución histórica de estos dispositivos, su aplicación en el mundo real y ventajas y limitaciones de su aplicación. Durante el curso se detallan los aspectos arquitectónicos de estos dispositivos.
Link: http://techfest.uc3m.es/2013/?event=introduccion-al-diseno-y-arquitectura-de-aceleradores-gpgpu
- published: 21 Feb 2013
- views: 394
NVIDIA's Chief Solution Architect Dr. Simon See gave an overview of NVIDIA's GPU computing solutions, including the work that went into its GPGPU acceleration technology, from CUDA 5.0 to parallel computing.
- published: 19 Dec 2012
- views: 1116
Jim Shaw, EVP of Engineering at Crystal Group, discusses the advances in GPGPU Technology.
For more information, visit our website at: https://www.crystalrugged.com/.
View our line of ruggedized solutions: https://www.crystalrugged.com/products/
Contact us for more info: https://www.crystalrugged.com/contact
- published: 29 Feb 2016
- views: 75
http://www.LLVM.org/devmtg/2015-10/
—
Optimizing LLVM for GPGPU - Jingyue Wu, Google
Slides: http://llvm.org/devmtg/2015-10/slides/Wu-OptimizingLLVMforGPGPU.pdf
—
This talk presents Google’s effort of optimizing LLVM for CUDA. When we started this effort, LLVM was well-tuned for CPUs but there had been little public work on improving its GPU performance. We developed, tuned, and augmented several general and CUDA-specific optimization passes. As a result, our LLVM-based compiler generates better code than nvcc on key end-to-end internal benchmarks and is on par with nvcc on a variety of open-source benchmarks.
—
Videos Filmed & Edited by Bash Films: http://www.BashFilms.com
- published: 05 Nov 2015
- views: 1501
(brighter version; recommend you watch 1080 HD version)
nBody galaxy simulation of 10,000 stars. The simulation calculates the gravity of star interaction via compute kernels running on the GPU.
Read about it here: http://mickyd.wordpress.com/2014/02/01/n-body-galaxy-simulation-using-compute-shaders-on-gpgpu-via-unity-3d/
- published: 02 Feb 2014
- views: 1778
http://www.redgamingtech.com/ice-team-playstation-4-performance-boost-thanks-to-gpgpu-rendering/ - full article & links
http://www.facebook.com/redgamingtech - Follow us on Facebook!
Much like Microsoft is trying to wring every last drop of performance out of the Xbox One, Sony must do the same for the Playstation 4. A few days ago (May 19th) rumors surfaced that the PS4 would be on the receiving end of a 'massive performance boost' after Tidux brought up the subject on Twitter. We've speculated as to how this could be accomplished, and as it turns out it's got something to do with the SDK of the PS4 and GPGPU rendering.
Originally there were several theories being banded about, but industry insider Ashan Rasheed (perhaps better known as Thuway) replying to someone on Twitter who was querying if the performance boost would be something Sony would announced . "Thats more to do with SDK's improving. ICE Team is legendary with their work on the Sony tools side. You won't hear about it," started Thuway.
http://www.redgamingtech.com/ice-team-playstation-4-performance-boost-thanks-to-gpgpu-rendering/
Royalty Free Music - www.audiomicro.com/royalty-free-music
- published: 23 May 2014
- views: 3763
General-purpose computing on graphics processing units (GPGPU, GPGP or less often GP²U) is the means of using a graphics processing unit (GPU), which typically handles computation only for computer graphics, to perform computation in applications traditionally handled by the central processing unit (CPU). Any GPU providing a functionally complete set of operations performed on arbitrary bits can compute any computable value. Additionally, the use of multiple graphics cards in one computer, or large numbers of graphics chips, further parallelizes the already parallel nature of graphics processing.
In principle, any boolean function can be built-up from a functionally complete set of logic operators. An early example of general purpose computing with a GPU involved performing additions by using an early stream processor called a blitter to invoke a special sequence of logical operations on bit vectors. Such methods are seldom used today as modern GPUs now include support for more advanced mathematical operations including addition, multiplication, and often certain transcendental functions.
This page contains text from Wikipedia, the Free Encyclopedia -
http://en.wikipedia.org/wiki/GPGPU
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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11:02Introduction to GPGPU - General Purpose Computing on GPUs
Introduction to GPGPU - General Purpose Computing on GPUsIntroduction to GPGPU - General Purpose Computing on GPUs
This video walks through the history, benefits, and methods of GPGPU. I do not claim to own every video and image above, all rights to their respective owners. -
79:52GPGPU 1
GPGPU 1GPGPU 1
The modern GPU can be used as a general-purpose processor. This field of "GPGPU" (general-purpose programmability of graphics hardware) or "GPU computing" is having an increasing impact on GPU architecture, GPU software and programming environments, and the computing industry. These two lectures discuss the fundamentals of GPGPU: the programming model, the hardware and some fundamental algorithms. We use NVIDIA's CUDA and G80 architecture as a representative example. -
79:38GPGPU 2
GPGPU 2GPGPU 2
The modern GPU can be used as a general-purpose processor. This field of "GPGPU" (general-purpose programmability of graphics hardware) or "GPU computing" is having an increasing impact on GPU architecture, GPU software and programming environments, and the computing industry. These two lectures discuss the fundamentals of GPGPU: the programming model, the hardware, and some fundamental algorithms. We use NVIDIA's CUDA and G80 architecture as a representative example. -
5:39GPGPU Development for Financial Services using NVIDIA Parallel Nsight™ and Microsoft Visual Studio
GPGPU Development for Financial Services using NVIDIA Parallel Nsight™ and Microsoft Visual StudioGPGPU Development for Financial Services using NVIDIA Parallel Nsight™ and Microsoft Visual Studio
Managing the massive volume of data for financial analysis has been a great challenge for financial services institutions and banks, and it comes with very complex computational problems. Hanweck and Associates is helping financial institutions solve their complex computing challenges by harnessing the power of GPUs through NVIDIA Parallel Nsight, which makes GPGPU possible within the Microsoft Visual Studio environment, delivering accurate results faster. Watch the video to learn more about the benefits of developing on GPUs using Parallel Nsight and Microsoft Visual Studio. -
1:18GPGPU Cloth simulation using GLSL, OpenCL and CUDA
GPGPU Cloth simulation using GLSL, OpenCL and CUDAGPGPU Cloth simulation using GLSL, OpenCL and CUDA
Visual comparison of the computing performance between three different GPGPU platforms. The related paper and source code have been published in the book Game Engine Gems 2: http://www.gameenginegems.net/ -
52:40[t3chFest 2013] Introducción al Diseño y Arquitectura de Aceleradores GPGPU
[t3chFest 2013] Introducción al Diseño y Arquitectura de Aceleradores GPGPU[t3chFest 2013] Introducción al Diseño y Arquitectura de Aceleradores GPGPU
Tïtulo: Introducción al Diseño y Arquitectura de Aceleradores GPGPU Ponente: Francisco Javier García Blas (UC3M) El uso de aceleradores gráficos es una de las tecnologías que se están empleando tanto en el mercado del entretenimiento como en el científico. Gracias a estos dispositivos masivamente paralelos es posible reducir considerablemente el tiempo de ejecución de muchas de las aplicaciones de hoy en día. En este curso se introducen aspectos como la evolución histórica de estos dispositivos, su aplicación en el mundo real y ventajas y limitaciones de su aplicación. Durante el curso se detallan los aspectos arquitectónicos de estos dispositivos. Link: http://techfest.uc3m.es/2013/?event=introduccion-al-diseno-y-arquitectura-de-aceleradores-gpgpu -
4:52HWZ.TV: Benefits of GPGPU Computing ~ NVIDIA Interview
HWZ.TV: Benefits of GPGPU Computing ~ NVIDIA InterviewHWZ.TV: Benefits of GPGPU Computing ~ NVIDIA Interview
NVIDIA's Chief Solution Architect Dr. Simon See gave an overview of NVIDIA's GPU computing solutions, including the work that went into its GPGPU acceleration technology, from CUDA 5.0 to parallel computing. -
4:36Advances in GPGPU Technology | Jim on Engineering, Episode 54
Advances in GPGPU Technology | Jim on Engineering, Episode 54Advances in GPGPU Technology | Jim on Engineering, Episode 54
Jim Shaw, EVP of Engineering at Crystal Group, discusses the advances in GPGPU Technology. For more information, visit our website at: https://www.crystalrugged.com/. View our line of ruggedized solutions: https://www.crystalrugged.com/products/ Contact us for more info: https://www.crystalrugged.com/contact -
39:002015 LLVM Developers’ Meeting: Jingyue Wu “ Optimizing LLVM for GPGPU"
2015 LLVM Developers’ Meeting: Jingyue Wu “ Optimizing LLVM for GPGPU"2015 LLVM Developers’ Meeting: Jingyue Wu “ Optimizing LLVM for GPGPU"
http://www.LLVM.org/devmtg/2015-10/ — Optimizing LLVM for GPGPU - Jingyue Wu, Google Slides: http://llvm.org/devmtg/2015-10/slides/Wu-OptimizingLLVMforGPGPU.pdf — This talk presents Google’s effort of optimizing LLVM for CUDA. When we started this effort, LLVM was well-tuned for CPUs but there had been little public work on improving its GPU performance. We developed, tuned, and augmented several general and CUDA-specific optimization passes. As a result, our LLVM-based compiler generates better code than nvcc on key end-to-end internal benchmarks and is on par with nvcc on a variety of open-source benchmarks. — Videos Filmed & Edited by Bash Films: http://www.BashFilms.com -
11:55An Introduction to GPGPU Concepts
An Introduction to GPGPU Concepts -
0:56n-Body Galaxy Simulation using GPGPU, Unity Compute Shaders- Rev 2
n-Body Galaxy Simulation using GPGPU, Unity Compute Shaders- Rev 2n-Body Galaxy Simulation using GPGPU, Unity Compute Shaders- Rev 2
(brighter version; recommend you watch 1080 HD version) nBody galaxy simulation of 10,000 stars. The simulation calculates the gravity of star interaction via compute kernels running on the GPU. Read about it here: http://mickyd.wordpress.com/2014/02/01/n-body-galaxy-simulation-using-compute-shaders-on-gpgpu-via-unity-3d/ -
8:26Playstation 4 Performance Boost Thanks to GPGPU Rendering Says Insider - Analysis
Playstation 4 Performance Boost Thanks to GPGPU Rendering Says Insider - AnalysisPlaystation 4 Performance Boost Thanks to GPGPU Rendering Says Insider - Analysis
http://www.redgamingtech.com/ice-team-playstation-4-performance-boost-thanks-to-gpgpu-rendering/ - full article & links http://www.facebook.com/redgamingtech - Follow us on Facebook! Much like Microsoft is trying to wring every last drop of performance out of the Xbox One, Sony must do the same for the Playstation 4. A few days ago (May 19th) rumors surfaced that the PS4 would be on the receiving end of a 'massive performance boost' after Tidux brought up the subject on Twitter. We've speculated as to how this could be accomplished, and as it turns out it's got something to do with the SDK of the PS4 and GPGPU rendering. Originally there were several theories being banded about, but industry insider Ashan Rasheed (perhaps better known as Thuway) replying to someone on Twitter who was querying if the performance boost would be something Sony would announced . "Thats more to do with SDK's improving. ICE Team is legendary with their work on the Sony tools side. You won't hear about it," started Thuway. http://www.redgamingtech.com/ice-team-playstation-4-performance-boost-thanks-to-gpgpu-rendering/ Royalty Free Music - www.audiomicro.com/royalty-free-music -
53:08CppCon 2014: Marc Gregoire "Introduction to C++ AMP (GPGPU Computing)"
CppCon 2014: Marc Gregoire "Introduction to C++ AMP (GPGPU Computing)"CppCon 2014: Marc Gregoire "Introduction to C++ AMP (GPGPU Computing)"
http://www.cppcon.org — Presentation Slides, PDFs, Source Code and other presenter materials are available at: https://github.com/CppCon/CppCon2014 -- Meet C++ AMP (Accelerated Massive Parallelism), an abstraction layer on top of accelerators such as GPUs. In its current version it allows you to run code on any DX11 GPU, independent of the vendor, and it will even distribute workload across GPUs of different vendors simultaneously. C++ AMP was originally designed by Microsoft but is now an open standard. C++ AMP can deliver orders of magnitude performance increase with certain algorithms by utilizing the GPU to perform mathematical calculations. This talk will give a high level overview of what C++ AMP is and what it can do for you. It is time to start taking advantage of the computing power of GPUs! -- Marc Gregoire has worked as a software engineer consultant for 6 years for Siemens and Nokia Siemens Networks on critical 2G and 3G software running on Solaris for telecom operators. This required working in international teams stretching from South America and USA to EMEA and Asia. Now, Marc is working for Nikon Metrology on 3D scanning software. His main expertise is C/C++, and specifically Microsoft VC++ and the MFC framework. Next to C/C++, Marc also likes C# and uses PHP for creating web pages. In addition to his main interest for Windows development, he also has experience in developing C++ programs running 24x7 on Linux platforms; for example, EIB/KNX home automation controlling and monitoring software. Since April 2007, he received the yearly Microsoft MVP (Most Valuable Professional) award for his Visual C++ expertise. Marc is the author of "Professional C++, Second and Third Edition", published by Wiley/Wrox, is the founder of the Belgian C++ Users Group (www.becpp.org), and has written a number of articles which have been published on CodeGuru and/or his personal blog. He also creates freeware and shareware programs that are distributed through his website at www.nuonsoft.com, and maintains a blog on www.nuonsoft.com/blog/. He is also passionate about traveling and gastronomic restaurants.m -- Videos Filmed & Edited by Bash Films: http://www.BashFilms.com -
119:00GPGPU Programming Introduction by Nathaniel Husted at Indy Software Artisans
GPGPU Programming Introduction by Nathaniel Husted at Indy Software ArtisansGPGPU Programming Introduction by Nathaniel Husted at Indy Software Artisans
Through the GPGPU Looking Glass And What Alice, The Developer, Found There Join us for a fascinating look into GPGPU programming with Nathaniel Husted! Parallel programming is becoming an ever more important paradigm as we continue to scale up and out the problems we choose to deal with as computer users. One way we've dealt with the increased computation is to put more cores on our CPUs. However, since 2007 Nvidia has been promoting its graphics cards as General Purpose GPUs providing the ability to freely program its graphics cards. AMD soon followed. These architectures, however, are considerably different than what we're used to with our ARM and x86 multi-core chips. This talk will follow our developer Alice as she steps through the looking glass into the realm of exotic architectures, mainly the GPGPU paradigm popularized by AMD and CUDA. We'll see how to setup scalable projects, avoid some gotchas, and in general better understand the architecture that is the GPU. Throughout Alice's adventure she'll experience a number of examples and in-depth discussions. At the end of the journey, the audience will have a better understanding on how to harness the power of their GPUs for the tasks they're best suited for.
- 12-bit
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- 3D printing
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- Space elevator
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- Speech processing
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- Speedup
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- Stanford University
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- Technology
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- Tissue engineering
- Tobias Preis
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- Transhumanism
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- Unified Parallel C
- Utility fog
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- Vector processor
- Vertex (geometry)
- Vertical farming
- Video Processing
- Virtusphere
- Visual prosthesis
- Weather forecasting
- Wikipedia Vagueness
- XGI Technology
- ZEBRA (computer)
-
Introduction to GPGPU - General Purpose Computing on GPUs
This video walks through the history, benefits, and methods of GPGPU. I do not claim to own every video and image above, all rights to their respective owners. -
GPGPU 1
The modern GPU can be used as a general-purpose processor. This field of "GPGPU" (general-purpose programmability of graphics hardware) or "GPU computing" is having an increasing impact on GPU architecture, GPU software and programming environments, and the computing industry. These two lectures discuss the fundamentals of GPGPU: the programming model, the hardware and some fundamental algorithms. We use NVIDIA's CUDA and G80 architecture as a representative example. -
GPGPU 2
The modern GPU can be used as a general-purpose processor. This field of "GPGPU" (general-purpose programmability of graphics hardware) or "GPU computing" is having an increasing impact on GPU architecture, GPU software and programming environments, and the computing industry. These two lectures discuss the fundamentals of GPGPU: the programming model, the hardware, and some fundamental algorithms. We use NVIDIA's CUDA and G80 architecture as a representative example. -
GPGPU Development for Financial Services using NVIDIA Parallel Nsight™ and Microsoft Visual Studio
Managing the massive volume of data for financial analysis has been a great challenge for financial services institutions and banks, and it comes with very complex computational problems. Hanweck and Associates is helping financial institutions solve their complex computing challenges by harnessing the power of GPUs through NVIDIA Parallel Nsight, which makes GPGPU possible within the Microsoft Visual Studio environment, delivering accurate results faster. Watch the video to learn more about the benefits of developing on GPUs using Parallel Nsight and Microsoft Visual Studio. -
GPGPU Cloth simulation using GLSL, OpenCL and CUDA
Visual comparison of the computing performance between three different GPGPU platforms. The related paper and source code have been published in the book Game Engine Gems 2: http://www.gameenginegems.net/ -
[t3chFest 2013] Introducción al Diseño y Arquitectura de Aceleradores GPGPU
Tïtulo: Introducción al Diseño y Arquitectura de Aceleradores GPGPU Ponente: Francisco Javier García Blas (UC3M) El uso de aceleradores gráficos es una de las tecnologías que se están empleando tanto en el mercado del entretenimiento como en el científico. Gracias a estos dispositivos masivamente paralelos es posible reducir considerablemente el tiempo de ejecución de muchas de las aplicaciones de hoy en día. En este curso se introducen aspectos como la evolución histórica de estos dispositivos, su aplicación en el mundo real y ventajas y limitaciones de su aplicación. Durante el curso se detallan los aspectos arquitectónicos de estos dispositivos. Link: http://techfest.uc3m.es/2013/?event=introduccion-al-diseno-y-arquitectura-de-aceleradores-gpgpu -
HWZ.TV: Benefits of GPGPU Computing ~ NVIDIA Interview
NVIDIA's Chief Solution Architect Dr. Simon See gave an overview of NVIDIA's GPU computing solutions, including the work that went into its GPGPU acceleration technology, from CUDA 5.0 to parallel computing. -
Advances in GPGPU Technology | Jim on Engineering, Episode 54
Jim Shaw, EVP of Engineering at Crystal Group, discusses the advances in GPGPU Technology. For more information, visit our website at: https://www.crystalrugged.com/. View our line of ruggedized solutions: https://www.crystalrugged.com/products/ Contact us for more info: https://www.crystalrugged.com/contact -
2015 LLVM Developers’ Meeting: Jingyue Wu “ Optimizing LLVM for GPGPU"
http://www.LLVM.org/devmtg/2015-10/ — Optimizing LLVM for GPGPU - Jingyue Wu, Google Slides: http://llvm.org/devmtg/2015-10/slides/Wu-OptimizingLLVMforGPGPU.pdf — This talk presents Google’s effort of optimizing LLVM for CUDA. When we started this effort, LLVM was well-tuned for CPUs but there had been little public work on improving its GPU performance. We developed, tuned, and augmented several general and CUDA-specific optimization passes. As a result, our LLVM-based compiler generates better code than nvcc on key end-to-end internal benchmarks and is on par with nvcc on a variety of open-source benchmarks. — Videos Filmed & Edited by Bash Films: http://www.BashFilms.com -
-
n-Body Galaxy Simulation using GPGPU, Unity Compute Shaders- Rev 2
(brighter version; recommend you watch 1080 HD version) nBody galaxy simulation of 10,000 stars. The simulation calculates the gravity of star interaction via compute kernels running on the GPU. Read about it here: http://mickyd.wordpress.com/2014/02/01/n-body-galaxy-simulation-using-compute-shaders-on-gpgpu-via-unity-3d/ -
Playstation 4 Performance Boost Thanks to GPGPU Rendering Says Insider - Analysis
http://www.redgamingtech.com/ice-team-playstation-4-performance-boost-thanks-to-gpgpu-rendering/ - full article & links http://www.facebook.com/redgamingtech - Follow us on Facebook! Much like Microsoft is trying to wring every last drop of performance out of the Xbox One, Sony must do the same for the Playstation 4. A few days ago (May 19th) rumors surfaced that the PS4 would be on the receiving end of a 'massive performance boost' after Tidux brought up the subject on Twitter. We've speculated as to how this could be accomplished, and as it turns out it's got something to do with the SDK of the PS4 and GPGPU rendering. Originally there were several theories being banded about, but industry insider Ashan Rasheed (perhaps better known as Thuway) replying to someone on Twitter who was que... -
CppCon 2014: Marc Gregoire "Introduction to C++ AMP (GPGPU Computing)"
http://www.cppcon.org — Presentation Slides, PDFs, Source Code and other presenter materials are available at: https://github.com/CppCon/CppCon2014 -- Meet C++ AMP (Accelerated Massive Parallelism), an abstraction layer on top of accelerators such as GPUs. In its current version it allows you to run code on any DX11 GPU, independent of the vendor, and it will even distribute workload across GPUs of different vendors simultaneously. C++ AMP was originally designed by Microsoft but is now an open standard. C++ AMP can deliver orders of magnitude performance increase with certain algorithms by utilizing the GPU to perform mathematical calculations. This talk will give a high level overview of what C++ AMP is and what it can do for you. It is time to start taking advantage of the computing pow... -
GPGPU Programming Introduction by Nathaniel Husted at Indy Software Artisans
Through the GPGPU Looking Glass And What Alice, The Developer, Found There Join us for a fascinating look into GPGPU programming with Nathaniel Husted! Parallel programming is becoming an ever more important paradigm as we continue to scale up and out the problems we choose to deal with as computer users. One way we've dealt with the increased computation is to put more cores on our CPUs. However, since 2007 Nvidia has been promoting its graphics cards as General Purpose GPUs providing the ability to freely program its graphics cards. AMD soon followed. These architectures, however, are considerably different than what we're used to with our ARM and x86 multi-core chips. This talk will follow our developer Alice as she steps through the looking glass into the realm of exotic architectur... -
AFDS 2012: Can GPGPU Programming be Liberated from the Data-Parallel Bottleneck
AMD Fusion Developer Summit 2012. For more information, visit: http://bit.ly/AFDS_2012 With the success of programming models such as Khronos' OpenCL and NVIDIA's Cuda, Heterogeneous computing is going mainstream. However, these systems are low-level, even when considering them as systems programming models. They are effectively extended subsets of C99, limited to the type unsafe procedural abstraction that C has provided for more than 30 years. Computer systems programming has for more than two decades been able to do lot better. A further limitation of the OpenCL/Cuda programming models is that to date they have really reflected the GPU programming model of the previous decade: they have focused on fine grained data-parallel workloads. What about other work-loads, e.g. task-parallel wor... -
Abstract Pixels - GPGPU with WebGL [1c2]
Abstract Pixels GPGPU with WebGL Psychedelic interactive animations and realtime generative graphics using fragment shaders in WebGL. A rollercoaster ride through texture feedback loops sprinkled with particles and fractals, and how to synthesize Zebra stripes and Leopard skin dots. You don't need to understand the mathematical beauty to get inspired, but there are some quite simple formulas that lead to unexpected complex and chaotic outcome. Meet the line integral convolution method and find comfort in partial differential equation systems. Let three lines of code burst into blooming interactive visualizations and take up the challenge to couple different dissipative and stigmergic systems. ────────── ➤Speaker: Flexi23 ➤EventID: 6631 ➤Event: 1th Chaos Cologne Conference [1c2] of the... -
LambdaConf 2015 - Accelerating Haskell GPGPU Programming with Haskell Joe Nash
Many machines and devices come equipped with powerful graphical processing units, or GPUs. These units have hundreds of processing cores, and can be exploited to accelerate our applications by offloading applicable code to the GPU instead of the CPU. In this talk we will cover the basic concepts of General Purpose Programming for GPUs, and show how it can be exploited in the functional programming language, Haskell, via the accelerate library. Help us caption & translate this video! http://amara.org/v/HcNj/ -
GPGPU Hyperspectral Imaging
http://defense.ge-ip.com/products/gpgpu/c497 NVIDIA GPUs can be used to accelerate ISR sensor processing applications with their massively parallel CUDA architecture. This video utilizes GE's GRA111 (see also NPN240 and IPN250 equivalents) in a Hyperspectral Imaging (HSI) material classification & analysis tool, achieving a 60x increase in processing performance over the native CPU implementation. This breakthrough in high-bandwidth, flexible HSI processing using CUDA permits real-time hyperspectral applications onboard rugged, low-SWAP platforms. For more information on GE's solutions visit http://defense.ge-ip.com/ or join the discussion on our blog http://defense.ge-ip.com/blog/ -
GPGPU fully procedural planetary terrain demo
Textures are disabled to better demonstrate the data generated by the GPU. So everything you're seeing is purely vertex data. A DX11 compute shader generates Position, Normal, Temperature and Humidity data using a combination of perlin noise and cell noise (Voronoi diagrams), and performs stitching for 33x33 terrain patches. Temperature and Humidity is used to simulate biomes. The LOD is managed by a quad tree, which is updated in another thread. It currently purely depends on camera distance to node. There is a load balancing system in place that dynamically allocates a certain amount of gpu time for planet generation each frame. Slower cards will see an increase in terrain generation delay, rather than a drop in framerates. On my gtx580, planetary generation takes about 1,2ms of frame... -
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FMM N-body Simulation with 100 Million Particles, made with the GPGPU programming environment Goopax
N-body simulation with 100 million particles, calculated in less than 5 hours on a single accelerator card! Number of particles: 100 Million Number of time steps: 1000 Gravity calculation: Fast Multipole Method with high accuracy. Hareware: AMD Firepro S9150 accelerator card Simulation time: 4 hours, 56 minutes In this N-body simulation, 100 million particles, arranged in the shape of the Goopax logo, attract each other via gravity. The force is calculated with a sophisticated algorithm that gives extremely high performance, as well as high accuracy. Goopax is an object-oriented programming environment, allowing complex, high performance GPGPU applications to be written directly in C++ in a way that is easy, reliable, and safe. Learn more about goopax on www.goopax.com! -
GPGPU in Real-Time Graphics Acceleration (final year proj)
... A Comparative Analysis of Vertex-Data and Image Processing Using OpenCL Kernels and OpenGL Compute-Shaders ... Investigating the utilization of GPU Computing models in graphics applications. Looking at using the GPU for non-rendering and general purpose computing tasks in an application concomitantly dependent on the GPU for rendering. The project analyses the implementation of a particle system, post processing, deferred rendering in OpenCL and OpenGL's Compute Shaders. The purpose is also one of trying to clarify/understand the applicability of either in applications that wish to harness system parallel resources via heterogenous computing programming models. The repo can be found here: https://bitbucket.org/floyd_chitalu/b00203579_cgt_honours_project Music: Sara Tavares - Novidad... -
Introduction to GPGPU - General Purpose Computing on GPUs
- Order: Reorder
- Duration: 11:02
- Updated: 26 Oct 2015
- views: 281
This video walks through the history, benefits, and methods of GPGPU.
I do not claim to own every video and image above, all rights to their respective owners.
This video walks through the history, benefits, and methods of GPGPU.
I do not claim to own every video and image above, all rights to their respective owners.
wn.com/Introduction To Gpgpu General Purpose Computing On Gpus
This video walks through the history, benefits, and methods of GPGPU.
I do not claim to own every video and image above, all rights to their respective owners.
- published: 26 Oct 2015
- views: 281
GPGPU 1
- Order: Reorder
- Duration: 79:52
- Updated: 09 Feb 2010
- views: 14578
The modern GPU can be used as a general-purpose processor. This field of "GPGPU" (general-purpose programmability of graphics hardware) or "GPU computing" is ha...
The modern GPU can be used as a general-purpose processor. This field of "GPGPU" (general-purpose programmability of graphics hardware) or "GPU computing" is having an increasing impact on GPU architecture, GPU software and programming environments, and the computing industry. These two lectures discuss the fundamentals of GPGPU: the programming model, the hardware and some fundamental algorithms. We use NVIDIA's CUDA and G80 architecture as a representative example.
wn.com/Gpgpu 1
The modern GPU can be used as a general-purpose processor. This field of "GPGPU" (general-purpose programmability of graphics hardware) or "GPU computing" is having an increasing impact on GPU architecture, GPU software and programming environments, and the computing industry. These two lectures discuss the fundamentals of GPGPU: the programming model, the hardware and some fundamental algorithms. We use NVIDIA's CUDA and G80 architecture as a representative example.
- published: 09 Feb 2010
- views: 14578
GPGPU 2
- Order: Reorder
- Duration: 79:38
- Updated: 09 Feb 2010
- views: 5156
The modern GPU can be used as a general-purpose processor. This field of "GPGPU" (general-purpose programmability of graphics hardware) or "GPU computing" is ha...
The modern GPU can be used as a general-purpose processor. This field of "GPGPU" (general-purpose programmability of graphics hardware) or "GPU computing" is having an increasing impact on GPU architecture, GPU software and programming environments, and the computing industry. These two lectures discuss the fundamentals of GPGPU: the programming model, the hardware, and some fundamental algorithms. We use NVIDIA's CUDA and G80 architecture as a representative example.
wn.com/Gpgpu 2
The modern GPU can be used as a general-purpose processor. This field of "GPGPU" (general-purpose programmability of graphics hardware) or "GPU computing" is having an increasing impact on GPU architecture, GPU software and programming environments, and the computing industry. These two lectures discuss the fundamentals of GPGPU: the programming model, the hardware, and some fundamental algorithms. We use NVIDIA's CUDA and G80 architecture as a representative example.
- published: 09 Feb 2010
- views: 5156
GPGPU Development for Financial Services using NVIDIA Parallel Nsight™ and Microsoft Visual Studio
- Order: Reorder
- Duration: 5:39
- Updated: 26 Jan 2011
- views: 5170
Managing the massive volume of data for financial analysis has been a great challenge for financial services institutions and banks, and it comes with very comp...
Managing the massive volume of data for financial analysis has been a great challenge for financial services institutions and banks, and it comes with very complex computational problems. Hanweck and Associates is helping financial institutions solve their complex computing challenges by harnessing the power of GPUs through NVIDIA Parallel Nsight, which makes GPGPU possible within the Microsoft Visual Studio environment, delivering accurate results faster. Watch the video to learn more about the benefits of developing on GPUs using Parallel Nsight and Microsoft Visual Studio.
wn.com/Gpgpu Development For Financial Services Using Nvidia Parallel Nsight™ And Microsoft Visual Studio
Managing the massive volume of data for financial analysis has been a great challenge for financial services institutions and banks, and it comes with very complex computational problems. Hanweck and Associates is helping financial institutions solve their complex computing challenges by harnessing the power of GPUs through NVIDIA Parallel Nsight, which makes GPGPU possible within the Microsoft Visual Studio environment, delivering accurate results faster. Watch the video to learn more about the benefits of developing on GPUs using Parallel Nsight and Microsoft Visual Studio.
- published: 26 Jan 2011
- views: 5170
GPGPU Cloth simulation using GLSL, OpenCL and CUDA
- Order: Reorder
- Duration: 1:18
- Updated: 12 Jan 2012
- views: 22000
Visual comparison of the computing performance between three different GPGPU platforms. The related paper and source code have been published in the book Game E...
Visual comparison of the computing performance between three different GPGPU platforms. The related paper and source code have been published in the book Game Engine Gems 2: http://www.gameenginegems.net/
wn.com/Gpgpu Cloth Simulation Using Glsl, Opencl And Cuda
Visual comparison of the computing performance between three different GPGPU platforms. The related paper and source code have been published in the book Game Engine Gems 2: http://www.gameenginegems.net/
- published: 12 Jan 2012
- views: 22000
[t3chFest 2013] Introducción al Diseño y Arquitectura de Aceleradores GPGPU
- Order: Reorder
- Duration: 52:40
- Updated: 21 Feb 2013
- views: 394
Tïtulo: Introducción al Diseño y Arquitectura de Aceleradores GPGPU
Ponente: Francisco Javier García Blas (UC3M)
El uso de aceleradores gráficos es una de las...
Tïtulo: Introducción al Diseño y Arquitectura de Aceleradores GPGPU
Ponente: Francisco Javier García Blas (UC3M)
El uso de aceleradores gráficos es una de las tecnologías que se están empleando tanto en el mercado del entretenimiento como en el científico. Gracias a estos dispositivos masivamente paralelos es posible reducir considerablemente el tiempo de ejecución de muchas de las aplicaciones de hoy en día. En este curso se introducen aspectos como la evolución histórica de estos dispositivos, su aplicación en el mundo real y ventajas y limitaciones de su aplicación. Durante el curso se detallan los aspectos arquitectónicos de estos dispositivos.
Link: http://techfest.uc3m.es/2013/?event=introduccion-al-diseno-y-arquitectura-de-aceleradores-gpgpu
wn.com/T3Chfest 2013 Introducción Al Diseño Y Arquitectura De Aceleradores Gpgpu
Tïtulo: Introducción al Diseño y Arquitectura de Aceleradores GPGPU
Ponente: Francisco Javier García Blas (UC3M)
El uso de aceleradores gráficos es una de las tecnologías que se están empleando tanto en el mercado del entretenimiento como en el científico. Gracias a estos dispositivos masivamente paralelos es posible reducir considerablemente el tiempo de ejecución de muchas de las aplicaciones de hoy en día. En este curso se introducen aspectos como la evolución histórica de estos dispositivos, su aplicación en el mundo real y ventajas y limitaciones de su aplicación. Durante el curso se detallan los aspectos arquitectónicos de estos dispositivos.
Link: http://techfest.uc3m.es/2013/?event=introduccion-al-diseno-y-arquitectura-de-aceleradores-gpgpu
- published: 21 Feb 2013
- views: 394
HWZ.TV: Benefits of GPGPU Computing ~ NVIDIA Interview
- Order: Reorder
- Duration: 4:52
- Updated: 19 Dec 2012
- views: 1116
NVIDIA's Chief Solution Architect Dr. Simon See gave an overview of NVIDIA's GPU computing solutions, including the work that went into its GPGPU acceleration t...
NVIDIA's Chief Solution Architect Dr. Simon See gave an overview of NVIDIA's GPU computing solutions, including the work that went into its GPGPU acceleration technology, from CUDA 5.0 to parallel computing.
wn.com/Hwz.Tv Benefits Of Gpgpu Computing ~ Nvidia Interview
NVIDIA's Chief Solution Architect Dr. Simon See gave an overview of NVIDIA's GPU computing solutions, including the work that went into its GPGPU acceleration technology, from CUDA 5.0 to parallel computing.
- published: 19 Dec 2012
- views: 1116
Advances in GPGPU Technology | Jim on Engineering, Episode 54
- Order: Reorder
- Duration: 4:36
- Updated: 29 Feb 2016
- views: 75
Jim Shaw, EVP of Engineering at Crystal Group, discusses the advances in GPGPU Technology.
For more information, visit our website at: https://www.crystalrugge...
Jim Shaw, EVP of Engineering at Crystal Group, discusses the advances in GPGPU Technology.
For more information, visit our website at: https://www.crystalrugged.com/.
View our line of ruggedized solutions: https://www.crystalrugged.com/products/
Contact us for more info: https://www.crystalrugged.com/contact
wn.com/Advances In Gpgpu Technology | Jim On Engineering, Episode 54
Jim Shaw, EVP of Engineering at Crystal Group, discusses the advances in GPGPU Technology.
For more information, visit our website at: https://www.crystalrugged.com/.
View our line of ruggedized solutions: https://www.crystalrugged.com/products/
Contact us for more info: https://www.crystalrugged.com/contact
- published: 29 Feb 2016
- views: 75
2015 LLVM Developers’ Meeting: Jingyue Wu “ Optimizing LLVM for GPGPU"
- Order: Reorder
- Duration: 39:00
- Updated: 05 Nov 2015
- views: 1501
http://www.LLVM.org/devmtg/2015-10/
—
Optimizing LLVM for GPGPU - Jingyue Wu, Google
Slides: http://llvm.org/devmtg/2015-10/slides/Wu-OptimizingLLVMforGPGPU.pd...
http://www.LLVM.org/devmtg/2015-10/
—
Optimizing LLVM for GPGPU - Jingyue Wu, Google
Slides: http://llvm.org/devmtg/2015-10/slides/Wu-OptimizingLLVMforGPGPU.pdf
—
This talk presents Google’s effort of optimizing LLVM for CUDA. When we started this effort, LLVM was well-tuned for CPUs but there had been little public work on improving its GPU performance. We developed, tuned, and augmented several general and CUDA-specific optimization passes. As a result, our LLVM-based compiler generates better code than nvcc on key end-to-end internal benchmarks and is on par with nvcc on a variety of open-source benchmarks.
—
Videos Filmed & Edited by Bash Films: http://www.BashFilms.com
wn.com/2015 Llvm Developers’ Meeting Jingyue Wu “ Optimizing Llvm For Gpgpu
http://www.LLVM.org/devmtg/2015-10/
—
Optimizing LLVM for GPGPU - Jingyue Wu, Google
Slides: http://llvm.org/devmtg/2015-10/slides/Wu-OptimizingLLVMforGPGPU.pdf
—
This talk presents Google’s effort of optimizing LLVM for CUDA. When we started this effort, LLVM was well-tuned for CPUs but there had been little public work on improving its GPU performance. We developed, tuned, and augmented several general and CUDA-specific optimization passes. As a result, our LLVM-based compiler generates better code than nvcc on key end-to-end internal benchmarks and is on par with nvcc on a variety of open-source benchmarks.
—
Videos Filmed & Edited by Bash Films: http://www.BashFilms.com
- published: 05 Nov 2015
- views: 1501
An Introduction to GPGPU Concepts
- Order: Reorder
- Duration: 11:55
- Updated: 04 Dec 2013
- views: 196
n-Body Galaxy Simulation using GPGPU, Unity Compute Shaders- Rev 2
- Order: Reorder
- Duration: 0:56
- Updated: 02 Feb 2014
- views: 1778
(brighter version; recommend you watch 1080 HD version)
nBody galaxy simulation of 10,000 stars. The simulation calculates the gravity of star interaction v...
(brighter version; recommend you watch 1080 HD version)
nBody galaxy simulation of 10,000 stars. The simulation calculates the gravity of star interaction via compute kernels running on the GPU.
Read about it here: http://mickyd.wordpress.com/2014/02/01/n-body-galaxy-simulation-using-compute-shaders-on-gpgpu-via-unity-3d/
wn.com/N Body Galaxy Simulation Using Gpgpu, Unity Compute Shaders Rev 2
(brighter version; recommend you watch 1080 HD version)
nBody galaxy simulation of 10,000 stars. The simulation calculates the gravity of star interaction via compute kernels running on the GPU.
Read about it here: http://mickyd.wordpress.com/2014/02/01/n-body-galaxy-simulation-using-compute-shaders-on-gpgpu-via-unity-3d/
- published: 02 Feb 2014
- views: 1778
Playstation 4 Performance Boost Thanks to GPGPU Rendering Says Insider - Analysis
- Order: Reorder
- Duration: 8:26
- Updated: 23 May 2014
- views: 3763
http://www.redgamingtech.com/ice-team-playstation-4-performance-boost-thanks-to-gpgpu-rendering/ - full article & links
http://www.facebook.com/redgamingtech - ...
http://www.redgamingtech.com/ice-team-playstation-4-performance-boost-thanks-to-gpgpu-rendering/ - full article & links
http://www.facebook.com/redgamingtech - Follow us on Facebook!
Much like Microsoft is trying to wring every last drop of performance out of the Xbox One, Sony must do the same for the Playstation 4. A few days ago (May 19th) rumors surfaced that the PS4 would be on the receiving end of a 'massive performance boost' after Tidux brought up the subject on Twitter. We've speculated as to how this could be accomplished, and as it turns out it's got something to do with the SDK of the PS4 and GPGPU rendering.
Originally there were several theories being banded about, but industry insider Ashan Rasheed (perhaps better known as Thuway) replying to someone on Twitter who was querying if the performance boost would be something Sony would announced . "Thats more to do with SDK's improving. ICE Team is legendary with their work on the Sony tools side. You won't hear about it," started Thuway.
http://www.redgamingtech.com/ice-team-playstation-4-performance-boost-thanks-to-gpgpu-rendering/
Royalty Free Music - www.audiomicro.com/royalty-free-music
wn.com/Playstation 4 Performance Boost Thanks To Gpgpu Rendering Says Insider Analysis
http://www.redgamingtech.com/ice-team-playstation-4-performance-boost-thanks-to-gpgpu-rendering/ - full article & links
http://www.facebook.com/redgamingtech - Follow us on Facebook!
Much like Microsoft is trying to wring every last drop of performance out of the Xbox One, Sony must do the same for the Playstation 4. A few days ago (May 19th) rumors surfaced that the PS4 would be on the receiving end of a 'massive performance boost' after Tidux brought up the subject on Twitter. We've speculated as to how this could be accomplished, and as it turns out it's got something to do with the SDK of the PS4 and GPGPU rendering.
Originally there were several theories being banded about, but industry insider Ashan Rasheed (perhaps better known as Thuway) replying to someone on Twitter who was querying if the performance boost would be something Sony would announced . "Thats more to do with SDK's improving. ICE Team is legendary with their work on the Sony tools side. You won't hear about it," started Thuway.
http://www.redgamingtech.com/ice-team-playstation-4-performance-boost-thanks-to-gpgpu-rendering/
Royalty Free Music - www.audiomicro.com/royalty-free-music
- published: 23 May 2014
- views: 3763
CppCon 2014: Marc Gregoire "Introduction to C++ AMP (GPGPU Computing)"
- Order: Reorder
- Duration: 53:08
- Updated: 12 Oct 2014
- views: 2314
http://www.cppcon.org
—
Presentation Slides, PDFs, Source Code and other presenter materials are available at: https://github.com/CppCon/CppCon2014
--
Meet C++ ...
http://www.cppcon.org
—
Presentation Slides, PDFs, Source Code and other presenter materials are available at: https://github.com/CppCon/CppCon2014
--
Meet C++ AMP (Accelerated Massive Parallelism), an abstraction layer on top of accelerators such as GPUs. In its current version it allows you to run code on any DX11 GPU, independent of the vendor, and it will even distribute workload across GPUs of different vendors simultaneously. C++ AMP was originally designed by Microsoft but is now an open standard. C++ AMP can deliver orders of magnitude performance increase with certain algorithms by utilizing the GPU to perform mathematical calculations. This talk will give a high level overview of what C++ AMP is and what it can do for you. It is time to start taking advantage of the computing power of GPUs!
--
Marc Gregoire has worked as a software engineer consultant for 6 years for Siemens and Nokia Siemens Networks on critical 2G and 3G software running on Solaris for telecom operators. This required working in international teams stretching from South America and USA to EMEA and Asia. Now, Marc is working for Nikon Metrology on 3D scanning software. His main expertise is C/C++, and specifically Microsoft VC++ and the MFC framework. Next to C/C++, Marc also likes C# and uses PHP for creating web pages. In addition to his main interest for Windows development, he also has experience in developing C++ programs running 24x7 on Linux platforms; for example, EIB/KNX home automation controlling and monitoring software. Since April 2007, he received the yearly Microsoft MVP (Most Valuable Professional) award for his Visual C++ expertise. Marc is the author of "Professional C++, Second and Third Edition", published by Wiley/Wrox, is the founder of the Belgian C++ Users Group (www.becpp.org), and has written a number of articles which have been published on CodeGuru and/or his personal blog. He also creates freeware and shareware programs that are distributed through his website at www.nuonsoft.com, and maintains a blog on www.nuonsoft.com/blog/. He is also passionate about traveling and gastronomic restaurants.m
--
Videos Filmed & Edited by Bash Films: http://www.BashFilms.com
wn.com/Cppcon 2014 Marc Gregoire Introduction To C Amp (Gpgpu Computing)
http://www.cppcon.org
—
Presentation Slides, PDFs, Source Code and other presenter materials are available at: https://github.com/CppCon/CppCon2014
--
Meet C++ AMP (Accelerated Massive Parallelism), an abstraction layer on top of accelerators such as GPUs. In its current version it allows you to run code on any DX11 GPU, independent of the vendor, and it will even distribute workload across GPUs of different vendors simultaneously. C++ AMP was originally designed by Microsoft but is now an open standard. C++ AMP can deliver orders of magnitude performance increase with certain algorithms by utilizing the GPU to perform mathematical calculations. This talk will give a high level overview of what C++ AMP is and what it can do for you. It is time to start taking advantage of the computing power of GPUs!
--
Marc Gregoire has worked as a software engineer consultant for 6 years for Siemens and Nokia Siemens Networks on critical 2G and 3G software running on Solaris for telecom operators. This required working in international teams stretching from South America and USA to EMEA and Asia. Now, Marc is working for Nikon Metrology on 3D scanning software. His main expertise is C/C++, and specifically Microsoft VC++ and the MFC framework. Next to C/C++, Marc also likes C# and uses PHP for creating web pages. In addition to his main interest for Windows development, he also has experience in developing C++ programs running 24x7 on Linux platforms; for example, EIB/KNX home automation controlling and monitoring software. Since April 2007, he received the yearly Microsoft MVP (Most Valuable Professional) award for his Visual C++ expertise. Marc is the author of "Professional C++, Second and Third Edition", published by Wiley/Wrox, is the founder of the Belgian C++ Users Group (www.becpp.org), and has written a number of articles which have been published on CodeGuru and/or his personal blog. He also creates freeware and shareware programs that are distributed through his website at www.nuonsoft.com, and maintains a blog on www.nuonsoft.com/blog/. He is also passionate about traveling and gastronomic restaurants.m
--
Videos Filmed & Edited by Bash Films: http://www.BashFilms.com
- published: 12 Oct 2014
- views: 2314
GPGPU Programming Introduction by Nathaniel Husted at Indy Software Artisans
- Order: Reorder
- Duration: 119:00
- Updated: 18 Apr 2014
- views: 312
Through the GPGPU Looking Glass And What Alice, The Developer, Found There
Join us for a fascinating look into GPGPU programming with Nathaniel Husted!
Paral...
Through the GPGPU Looking Glass And What Alice, The Developer, Found There
Join us for a fascinating look into GPGPU programming with Nathaniel Husted!
Parallel programming is becoming an ever more important paradigm as we continue to scale up and out the problems we choose to deal with as computer users. One way we've dealt with the increased computation is to put more cores on our CPUs. However, since 2007 Nvidia has been promoting its graphics cards as General Purpose GPUs providing the ability to freely program its graphics cards. AMD soon followed. These architectures, however, are considerably different than what we're used to with our ARM and x86 multi-core chips. This talk will follow our developer Alice as she steps through the looking glass into the realm of exotic architectures, mainly the GPGPU paradigm popularized by AMD and CUDA. We'll see how to setup scalable projects, avoid some gotchas, and in general better understand the architecture that is the GPU. Throughout Alice's adventure she'll experience a number of examples and in-depth discussions. At the end of the journey, the audience will have a better understanding on how to harness the power of their GPUs for the tasks they're best suited for.
wn.com/Gpgpu Programming Introduction By Nathaniel Husted At Indy Software Artisans
Through the GPGPU Looking Glass And What Alice, The Developer, Found There
Join us for a fascinating look into GPGPU programming with Nathaniel Husted!
Parallel programming is becoming an ever more important paradigm as we continue to scale up and out the problems we choose to deal with as computer users. One way we've dealt with the increased computation is to put more cores on our CPUs. However, since 2007 Nvidia has been promoting its graphics cards as General Purpose GPUs providing the ability to freely program its graphics cards. AMD soon followed. These architectures, however, are considerably different than what we're used to with our ARM and x86 multi-core chips. This talk will follow our developer Alice as she steps through the looking glass into the realm of exotic architectures, mainly the GPGPU paradigm popularized by AMD and CUDA. We'll see how to setup scalable projects, avoid some gotchas, and in general better understand the architecture that is the GPU. Throughout Alice's adventure she'll experience a number of examples and in-depth discussions. At the end of the journey, the audience will have a better understanding on how to harness the power of their GPUs for the tasks they're best suited for.
- published: 18 Apr 2014
- views: 312
AFDS 2012: Can GPGPU Programming be Liberated from the Data-Parallel Bottleneck
- Order: Reorder
- Duration: 36:50
- Updated: 27 Sep 2012
- views: 460
AMD Fusion Developer Summit 2012. For more information, visit: http://bit.ly/AFDS_2012
With the success of programming models such as Khronos' OpenCL and NVIDI...
AMD Fusion Developer Summit 2012. For more information, visit: http://bit.ly/AFDS_2012
With the success of programming models such as Khronos' OpenCL and NVIDIA's Cuda, Heterogeneous computing is going mainstream. However, these systems are low-level, even when considering them as systems programming models. They are effectively extended subsets of C99, limited to the type unsafe procedural abstraction that C has provided for more than 30 years. Computer systems programming has for more than two decades been able to do lot better. A further limitation of the OpenCL/Cuda programming models is that to date they have really reflected the GPU programming model of the previous decade: they have focused on fine grained data-parallel workloads. What about other work-loads, e.g. task-parallel workloads? In this talk we introduce a model of braided parallelism and an object-oriented (based on C++11) programming model for heterogeneous computing. Liberating GPGPU programming from its data-parallel bottleneck, while at the same time adopting modern programming abstractions.
Speakers: Benedict Gaster and Lee Howes
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©2012 Advanced Micro Devices, Inc. AMD, the AMD Arrow Logo, and combinations thereof are trademarks of Advanced Micro Devices, Inc. Other names are for informational purposes only and may be trademarks of their respective owners.
wn.com/Afds 2012 Can Gpgpu Programming Be Liberated From The Data Parallel Bottleneck
AMD Fusion Developer Summit 2012. For more information, visit: http://bit.ly/AFDS_2012
With the success of programming models such as Khronos' OpenCL and NVIDIA's Cuda, Heterogeneous computing is going mainstream. However, these systems are low-level, even when considering them as systems programming models. They are effectively extended subsets of C99, limited to the type unsafe procedural abstraction that C has provided for more than 30 years. Computer systems programming has for more than two decades been able to do lot better. A further limitation of the OpenCL/Cuda programming models is that to date they have really reflected the GPU programming model of the previous decade: they have focused on fine grained data-parallel workloads. What about other work-loads, e.g. task-parallel workloads? In this talk we introduce a model of braided parallelism and an object-oriented (based on C++11) programming model for heterogeneous computing. Liberating GPGPU programming from its data-parallel bottleneck, while at the same time adopting modern programming abstractions.
Speakers: Benedict Gaster and Lee Howes
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©2012 Advanced Micro Devices, Inc. AMD, the AMD Arrow Logo, and combinations thereof are trademarks of Advanced Micro Devices, Inc. Other names are for informational purposes only and may be trademarks of their respective owners.
- published: 27 Sep 2012
- views: 460
Abstract Pixels - GPGPU with WebGL [1c2]
- Order: Reorder
- Duration: 47:52
- Updated: 10 Aug 2015
- views: 661
Abstract Pixels
GPGPU with WebGL
Psychedelic interactive animations and realtime generative graphics using fragment shaders in WebGL.
A rollercoaster ride thr...
Abstract Pixels
GPGPU with WebGL
Psychedelic interactive animations and realtime generative graphics using fragment shaders in WebGL.
A rollercoaster ride through texture feedback loops sprinkled with particles and fractals, and how to synthesize Zebra stripes and Leopard skin dots.
You don't need to understand the mathematical beauty to get inspired, but there are some quite simple formulas that lead to unexpected complex and chaotic outcome. Meet the line integral convolution method and find comfort in partial differential equation systems. Let three lines of code burst into blooming interactive visualizations and take up the challenge to couple different dissipative and stigmergic systems.
──────────
➤Speaker: Flexi23
➤EventID: 6631
➤Event: 1th Chaos Cologne Conference [1c2] of the Chaos Computer Club Cologne [CCC]
➤Location: Academy of Media Arts Cologne (KHM); Filzengraben 2; 50676 Cologne; Germany
➤Language: english
➤Begin: Sat, 05/16/2015 15:00:00 +02:00
➤License: CC-by
Help us caption & translate this video!
http://amara.org/v/GwN1/
wn.com/Abstract Pixels Gpgpu With Webgl 1C2
Abstract Pixels
GPGPU with WebGL
Psychedelic interactive animations and realtime generative graphics using fragment shaders in WebGL.
A rollercoaster ride through texture feedback loops sprinkled with particles and fractals, and how to synthesize Zebra stripes and Leopard skin dots.
You don't need to understand the mathematical beauty to get inspired, but there are some quite simple formulas that lead to unexpected complex and chaotic outcome. Meet the line integral convolution method and find comfort in partial differential equation systems. Let three lines of code burst into blooming interactive visualizations and take up the challenge to couple different dissipative and stigmergic systems.
──────────
➤Speaker: Flexi23
➤EventID: 6631
➤Event: 1th Chaos Cologne Conference [1c2] of the Chaos Computer Club Cologne [CCC]
➤Location: Academy of Media Arts Cologne (KHM); Filzengraben 2; 50676 Cologne; Germany
➤Language: english
➤Begin: Sat, 05/16/2015 15:00:00 +02:00
➤License: CC-by
Help us caption & translate this video!
http://amara.org/v/GwN1/
- published: 10 Aug 2015
- views: 661
LambdaConf 2015 - Accelerating Haskell GPGPU Programming with Haskell Joe Nash
- Order: Reorder
- Duration: 24:11
- Updated: 31 Dec 2015
- views: 456
Many machines and devices come equipped with powerful graphical processing units, or GPUs. These units have hundreds of processing cores, and can be exploited t...
Many machines and devices come equipped with powerful graphical processing units, or GPUs. These units have hundreds of processing cores, and can be exploited to accelerate our applications by offloading applicable code to the GPU instead of the CPU. In this talk we will cover the basic concepts of General Purpose Programming for GPUs, and show how it can be exploited in the functional programming language, Haskell, via the accelerate library.
Help us caption & translate this video!
http://amara.org/v/HcNj/
wn.com/Lambdaconf 2015 Accelerating Haskell Gpgpu Programming With Haskell Joe Nash
Many machines and devices come equipped with powerful graphical processing units, or GPUs. These units have hundreds of processing cores, and can be exploited to accelerate our applications by offloading applicable code to the GPU instead of the CPU. In this talk we will cover the basic concepts of General Purpose Programming for GPUs, and show how it can be exploited in the functional programming language, Haskell, via the accelerate library.
Help us caption & translate this video!
http://amara.org/v/HcNj/
- published: 31 Dec 2015
- views: 456
GPGPU Hyperspectral Imaging
- Order: Reorder
- Duration: 0:51
- Updated: 06 Feb 2013
- views: 1724
http://defense.ge-ip.com/products/gpgpu/c497
NVIDIA GPUs can be used to accelerate ISR sensor processing applications with their massively parallel CUDA archit...
http://defense.ge-ip.com/products/gpgpu/c497
NVIDIA GPUs can be used to accelerate ISR sensor processing applications with their massively parallel CUDA architecture. This video utilizes GE's GRA111 (see also NPN240 and IPN250 equivalents) in a Hyperspectral Imaging (HSI) material classification & analysis tool, achieving a 60x increase in processing performance over the native CPU implementation. This breakthrough in high-bandwidth, flexible HSI processing using CUDA permits real-time hyperspectral applications onboard rugged, low-SWAP platforms.
For more information on GE's solutions visit http://defense.ge-ip.com/ or join the discussion on our blog http://defense.ge-ip.com/blog/
wn.com/Gpgpu Hyperspectral Imaging
http://defense.ge-ip.com/products/gpgpu/c497
NVIDIA GPUs can be used to accelerate ISR sensor processing applications with their massively parallel CUDA architecture. This video utilizes GE's GRA111 (see also NPN240 and IPN250 equivalents) in a Hyperspectral Imaging (HSI) material classification & analysis tool, achieving a 60x increase in processing performance over the native CPU implementation. This breakthrough in high-bandwidth, flexible HSI processing using CUDA permits real-time hyperspectral applications onboard rugged, low-SWAP platforms.
For more information on GE's solutions visit http://defense.ge-ip.com/ or join the discussion on our blog http://defense.ge-ip.com/blog/
- published: 06 Feb 2013
- views: 1724
GPGPU fully procedural planetary terrain demo
- Order: Reorder
- Duration: 2:52
- Updated: 09 Jun 2012
- views: 7434
Textures are disabled to better demonstrate the data generated by the GPU.
So everything you're seeing is purely vertex data.
A DX11 compute shader generates P...
Textures are disabled to better demonstrate the data generated by the GPU.
So everything you're seeing is purely vertex data.
A DX11 compute shader generates Position, Normal, Temperature and Humidity data using a combination of perlin noise and cell noise (Voronoi diagrams), and performs stitching for 33x33 terrain patches.
Temperature and Humidity is used to simulate biomes.
The LOD is managed by a quad tree, which is updated in another thread.
It currently purely depends on camera distance to node.
There is a load balancing system in place that dynamically allocates a certain amount of gpu time for planet generation each frame.
Slower cards will see an increase in terrain generation delay, rather than a drop in framerates.
On my gtx580, planetary generation takes about 1,2ms of frame time, handling approximately 10 million vertices.
The terrain delay is at about 60ms, wheras on a gtx460 the delay is at about 120ms, which isn't noticeable.
The simulated planet is earth-sized, and at maximum LOD has a resolution of 1 vertex every ~3 meters.
The system can easily generate data for even higher LOD's, but I seem to have reached the limit of floating point precision.
I'm still not happy with how the terrain looks.
The gpgpu generation system I came up with on the other hand is performing more than admirably.
I guess I'll go for oceans and volumetric clouds next, rather than to keep trying to optimize terrain.
wn.com/Gpgpu Fully Procedural Planetary Terrain Demo
Textures are disabled to better demonstrate the data generated by the GPU.
So everything you're seeing is purely vertex data.
A DX11 compute shader generates Position, Normal, Temperature and Humidity data using a combination of perlin noise and cell noise (Voronoi diagrams), and performs stitching for 33x33 terrain patches.
Temperature and Humidity is used to simulate biomes.
The LOD is managed by a quad tree, which is updated in another thread.
It currently purely depends on camera distance to node.
There is a load balancing system in place that dynamically allocates a certain amount of gpu time for planet generation each frame.
Slower cards will see an increase in terrain generation delay, rather than a drop in framerates.
On my gtx580, planetary generation takes about 1,2ms of frame time, handling approximately 10 million vertices.
The terrain delay is at about 60ms, wheras on a gtx460 the delay is at about 120ms, which isn't noticeable.
The simulated planet is earth-sized, and at maximum LOD has a resolution of 1 vertex every ~3 meters.
The system can easily generate data for even higher LOD's, but I seem to have reached the limit of floating point precision.
I'm still not happy with how the terrain looks.
The gpgpu generation system I came up with on the other hand is performing more than admirably.
I guess I'll go for oceans and volumetric clouds next, rather than to keep trying to optimize terrain.
- published: 09 Jun 2012
- views: 7434
CPMX6: NVIDIA CUDA: Programacion para GPGPU por Amilcar Meneses Viveros
- Order: Reorder
- Duration: 54:13
- Updated: 25 Jul 2015
- views: 219
FMM N-body Simulation with 100 Million Particles, made with the GPGPU programming environment Goopax
- Order: Reorder
- Duration: 0:46
- Updated: 19 Jan 2016
- views: 160
N-body simulation with 100 million particles, calculated in less than 5 hours on a single accelerator card!
Number of particles: 100 Million
Number of time ste...
N-body simulation with 100 million particles, calculated in less than 5 hours on a single accelerator card!
Number of particles: 100 Million
Number of time steps: 1000
Gravity calculation: Fast Multipole Method with high accuracy.
Hareware: AMD Firepro S9150 accelerator card
Simulation time: 4 hours, 56 minutes
In this N-body simulation, 100 million particles, arranged in the shape of the Goopax logo, attract each other via gravity. The force is calculated with a sophisticated algorithm that gives extremely high performance, as well as high accuracy.
Goopax is an object-oriented programming environment, allowing complex, high performance GPGPU applications to be written directly in C++ in a way that is easy, reliable, and safe.
Learn more about goopax on www.goopax.com!
wn.com/Fmm N Body Simulation With 100 Million Particles, Made With The Gpgpu Programming Environment Goopax
N-body simulation with 100 million particles, calculated in less than 5 hours on a single accelerator card!
Number of particles: 100 Million
Number of time steps: 1000
Gravity calculation: Fast Multipole Method with high accuracy.
Hareware: AMD Firepro S9150 accelerator card
Simulation time: 4 hours, 56 minutes
In this N-body simulation, 100 million particles, arranged in the shape of the Goopax logo, attract each other via gravity. The force is calculated with a sophisticated algorithm that gives extremely high performance, as well as high accuracy.
Goopax is an object-oriented programming environment, allowing complex, high performance GPGPU applications to be written directly in C++ in a way that is easy, reliable, and safe.
Learn more about goopax on www.goopax.com!
- published: 19 Jan 2016
- views: 160
GPGPU in Real-Time Graphics Acceleration (final year proj)
- Order: Reorder
- Duration: 4:27
- Updated: 09 Apr 2015
- views: 364
... A Comparative Analysis of Vertex-Data and Image Processing Using OpenCL Kernels and OpenGL Compute-Shaders
... Investigating the utilization of GPU Computi...
... A Comparative Analysis of Vertex-Data and Image Processing Using OpenCL Kernels and OpenGL Compute-Shaders
... Investigating the utilization of GPU Computing models in graphics applications. Looking at using the GPU for non-rendering and general purpose computing tasks in an application concomitantly dependent on the GPU for rendering. The project analyses the implementation of a particle system, post processing, deferred rendering in OpenCL and OpenGL's Compute Shaders. The purpose is also one of trying to clarify/understand the applicability of either in applications that wish to harness system parallel resources via heterogenous computing programming models.
The repo can be found here: https://bitbucket.org/floyd_chitalu/b00203579_cgt_honours_project
Music: Sara Tavares - Novidadi
wn.com/Gpgpu In Real Time Graphics Acceleration (Final Year Proj)
... A Comparative Analysis of Vertex-Data and Image Processing Using OpenCL Kernels and OpenGL Compute-Shaders
... Investigating the utilization of GPU Computing models in graphics applications. Looking at using the GPU for non-rendering and general purpose computing tasks in an application concomitantly dependent on the GPU for rendering. The project analyses the implementation of a particle system, post processing, deferred rendering in OpenCL and OpenGL's Compute Shaders. The purpose is also one of trying to clarify/understand the applicability of either in applications that wish to harness system parallel resources via heterogenous computing programming models.
The repo can be found here: https://bitbucket.org/floyd_chitalu/b00203579_cgt_honours_project
Music: Sara Tavares - Novidadi
- published: 09 Apr 2015
- views: 364
HIS 7790 1GB - Full Load (GPGPU)
- Order: Reorder
- Duration: 0:35
- Updated: 16 Apr 2013
- views: 1543
Read the full review with 8 cards:
http://www.tomshardware.de/Radeon-7790-Review-Vergleich-Bonaire,testberichte-241256.html
Read the full review with 8 cards:
http://www.tomshardware.de/Radeon-7790-Review-Vergleich-Bonaire,testberichte-241256.html
wn.com/His 7790 1Gb Full Load (Gpgpu)
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11:02
Introduction to GPGPU - General Purpose Computing on GPUs
This video walks through the history, benefits, and methods of GPGPU.
I do not claim to ow...
published: 26 Oct 2015
Introduction to GPGPU - General Purpose Computing on GPUs
Introduction to GPGPU - General Purpose Computing on GPUs
- Report rights infringement
- published: 26 Oct 2015
- views: 281
79:52
GPGPU 1
The modern GPU can be used as a general-purpose processor. This field of "GPGPU" (general-...
published: 09 Feb 2010
GPGPU 1
GPGPU 1
- Report rights infringement
- published: 09 Feb 2010
- views: 14578
79:38
GPGPU 2
The modern GPU can be used as a general-purpose processor. This field of "GPGPU" (general-...
published: 09 Feb 2010
GPGPU 2
GPGPU 2
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- published: 09 Feb 2010
- views: 5156
5:39
GPGPU Development for Financial Services using NVIDIA Parallel Nsight™ and Microsoft Visual Studio
Managing the massive volume of data for financial analysis has been a great challenge for ...
published: 26 Jan 2011
GPGPU Development for Financial Services using NVIDIA Parallel Nsight™ and Microsoft Visual Studio
GPGPU Development for Financial Services using NVIDIA Parallel Nsight™ and Microsoft Visual Studio
- Report rights infringement
- published: 26 Jan 2011
- views: 5170
1:18
GPGPU Cloth simulation using GLSL, OpenCL and CUDA
Visual comparison of the computing performance between three different GPGPU platforms. Th...
published: 12 Jan 2012
GPGPU Cloth simulation using GLSL, OpenCL and CUDA
GPGPU Cloth simulation using GLSL, OpenCL and CUDA
- Report rights infringement
- published: 12 Jan 2012
- views: 22000
52:40
[t3chFest 2013] Introducción al Diseño y Arquitectura de Aceleradores GPGPU
Tïtulo: Introducción al Diseño y Arquitectura de Aceleradores GPGPU
Ponente: Francisco Ja...
published: 21 Feb 2013
[t3chFest 2013] Introducción al Diseño y Arquitectura de Aceleradores GPGPU
[t3chFest 2013] Introducción al Diseño y Arquitectura de Aceleradores GPGPU
- Report rights infringement
- published: 21 Feb 2013
- views: 394
4:52
HWZ.TV: Benefits of GPGPU Computing ~ NVIDIA Interview
NVIDIA's Chief Solution Architect Dr. Simon See gave an overview of NVIDIA's GPU computing...
published: 19 Dec 2012
HWZ.TV: Benefits of GPGPU Computing ~ NVIDIA Interview
HWZ.TV: Benefits of GPGPU Computing ~ NVIDIA Interview
- Report rights infringement
- published: 19 Dec 2012
- views: 1116
4:36
Advances in GPGPU Technology | Jim on Engineering, Episode 54
Jim Shaw, EVP of Engineering at Crystal Group, discusses the advances in GPGPU Technology....
published: 29 Feb 2016
Advances in GPGPU Technology | Jim on Engineering, Episode 54
Advances in GPGPU Technology | Jim on Engineering, Episode 54
- Report rights infringement
- published: 29 Feb 2016
- views: 75
39:00
2015 LLVM Developers’ Meeting: Jingyue Wu “ Optimizing LLVM for GPGPU"
http://www.LLVM.org/devmtg/2015-10/
—
Optimizing LLVM for GPGPU - Jingyue Wu, Google
Slid...
published: 05 Nov 2015
2015 LLVM Developers’ Meeting: Jingyue Wu “ Optimizing LLVM for GPGPU"
2015 LLVM Developers’ Meeting: Jingyue Wu “ Optimizing LLVM for GPGPU"
- Report rights infringement
- published: 05 Nov 2015
- views: 1501
11:55
An Introduction to GPGPU Concepts
Wesley Bartholomae's UAH CPE431 Video Project
published: 04 Dec 2013
An Introduction to GPGPU Concepts
An Introduction to GPGPU Concepts
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- published: 04 Dec 2013
- views: 196
0:56
n-Body Galaxy Simulation using GPGPU, Unity Compute Shaders- Rev 2
(brighter version; recommend you watch 1080 HD version)
nBody galaxy simulation of 10,00...
published: 02 Feb 2014
n-Body Galaxy Simulation using GPGPU, Unity Compute Shaders- Rev 2
n-Body Galaxy Simulation using GPGPU, Unity Compute Shaders- Rev 2
- Report rights infringement
- published: 02 Feb 2014
- views: 1778
8:26
Playstation 4 Performance Boost Thanks to GPGPU Rendering Says Insider - Analysis
http://www.redgamingtech.com/ice-team-playstation-4-performance-boost-thanks-to-gpgpu-rend...
published: 23 May 2014
Playstation 4 Performance Boost Thanks to GPGPU Rendering Says Insider - Analysis
Playstation 4 Performance Boost Thanks to GPGPU Rendering Says Insider - Analysis
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- published: 23 May 2014
- views: 3763
53:08
CppCon 2014: Marc Gregoire "Introduction to C++ AMP (GPGPU Computing)"
http://www.cppcon.org
—
Presentation Slides, PDFs, Source Code and other presenter materia...
published: 12 Oct 2014
CppCon 2014: Marc Gregoire "Introduction to C++ AMP (GPGPU Computing)"
CppCon 2014: Marc Gregoire "Introduction to C++ AMP (GPGPU Computing)"
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- published: 12 Oct 2014
- views: 2314
119:00
GPGPU Programming Introduction by Nathaniel Husted at Indy Software Artisans
Through the GPGPU Looking Glass And What Alice, The Developer, Found There
Join us for a ...
published: 18 Apr 2014
GPGPU Programming Introduction by Nathaniel Husted at Indy Software Artisans
GPGPU Programming Introduction by Nathaniel Husted at Indy Software Artisans
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- published: 18 Apr 2014
- views: 312
Introduction to GPGPU - General Purpose Computing...
GPGPU 1...
GPGPU 2...
GPGPU Development for Financial Services using NVI...
GPGPU Cloth simulation using GLSL, OpenCL and CUDA...
![[t3chFest 2013] Introducción al Diseño y Arquitectura de Ace](http://web.archive.org./web/20160317012633/http://i.ytimg.com/vi/9zfojkQXNoQ/0.jpg)
[t3chFest 2013] Introducción al Diseño y Arquitect...
HWZ.TV: Benefits of GPGPU Computing ~ NVIDIA Inter...
Advances in GPGPU Technology | Jim on Engineering,...
2015 LLVM Developers’ Meeting: Jingyue Wu “ Optimi...
An Introduction to GPGPU Concepts...
n-Body Galaxy Simulation using GPGPU, Unity Comput...
Playstation 4 Performance Boost Thanks to GPGPU Re...
CppCon 2014: Marc Gregoire "Introduction to C++ AM...
GPGPU Programming Introduction by Nathaniel Husted...
AFDS 2012: Can GPGPU Programming be Liberated from...
![Abstract Pixels - GPGPU with WebGL [1c2]](http://web.archive.org./web/20160317012633/http://i.ytimg.com/vi/-AJxjWCfR_c/0.jpg)
Abstract Pixels - GPGPU with WebGL [1c2]...
LambdaConf 2015 - Accelerating Haskell GPGPU Prog...
GPGPU Hyperspectral Imaging...
GPGPU fully procedural planetary terrain demo...
CPMX6: NVIDIA CUDA: Programacion para GPGPU por Am...
FMM N-body Simulation with 100 Million Particles, ...
GPGPU in Real-Time Graphics Acceleration (final ye...
HIS 7790 1GB - Full Load (GPGPU)...
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photo: YouTube / The Field Museum
Scientists Solve 58-Year-Old Mystery Surrounding Alien-Looking Tully Monster
Edit WorldNews.com 16 Mar 2016
It’s taken nearly 60 years, but baffled scientists have finally figured out what the legendary “Tully Monster” is and how it lived more than 307 million years ago, a Belfast Telegraph report said. The alien-looking creature had a crane-like neck, tooth-filled jaws resembling a lobster claw and eyes mounted at either end of a bar across the middle of its back ... "Basically, nobody knew what it was.”....
photo: AP / Matteo Borrini of Florence University
Discovery Of Oldest Human DNA Could Rewrite Evolutionary History Of Mankind
Edit WorldNews.com 16 Mar 2016
The human “tree” displaying the oldest human DNA records may have to add a few more branches if research by scientists on a newly discovered fossil is to be believed, an Inquistr report said Wednesday ... The extraordinary new find could push back the time when our ancestors are believed to have split from Neanderthals and Denisovans by hundreds of thousands of years ... ....
photo: AP / Jon Chol Jin
North Korea sentences US student to 15 years hard labour
Edit Deccan Chronicle 16 Mar 2016
Seoul. North Korea on Wednesday sentenced an American student, who had admitted to stealing propaganda material, to 15 years hard labour for crimes against the state, China's official Xinhua news agency reported. The sentence was handed down on Otto Warmbier, a 21-year-old student from the University of Virginia, by North Korea's Supreme Court, Xinhua said in a brief dispatch datelined Pyongyang ... - Military tensions - ... ....
photo: AP / Charles Dharapak, File
Over GOP Objections, Obama Expected To Nominate Merrick Garland For Supreme Court Seat
Edit WorldNews.com 16 Mar 2016
U.S. President Barack Obama is expected to announce shortly he is nominating Merrick Garland, 63, to replace Antonin Scalia as an Associate U.S. Supreme Court justice, according to three sources, the Washington Post reported Wednesday ... Garland is a longtime Washington lawyer and jurist who is chief judge of the U.S. Court of Appeals for the District of Columbia Circuit. Considered a moderate, Garland is widely respected in the D.C ... ....
photo: AP / Argentina's Navy
Argentina: Navy sinks Chinese boat fishing illegally
Edit Tampa Bay Online 16 Mar 2016
BUENOS AIRES, Argentina (AP) Argentina's navy announced Tuesday that it used gunfire to sink a boat Chinese-flagged boat that was fishing illegally in national waters. China's government said it expressed its serious concern to Argentina and called for an investigation. The navy statement said the boat was intercepted Monday off the coast of Puerto Madryn, about 907 miles (1,460 kilometers) south of Buenos Aires ... ___ ... ....
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NEC Releases Advanced ExpEther 40G Technology in North America 40G Technology in North America (NEC ...
Edit Public Technologies 09 Feb 2016
(Source. NEC Corporation of America). Technology helps accelerate real-time Big Data processing using Ethernet. Irving, Texas - Feb ... This technology uses Ethernet infrastructure to help accelerate real-time Big Data processing ... It does so by enabling the connection of GPGPU, NVMe SSD, or FPGA-based accelerators via an Ethernet connection ... NEC launched the IP core business in January 2016 ... NEC information. www.necam.com. Blog. www.NECToday.com....
Tyan News:TYAN Exhibits HPC Optimized Server Platforms Featuring Intel® Xeon® Processor E7-4800 v3 and E5-2600 ...
Edit Public Technologies 02 Dec 2015
4U/4-Coprocessor/GPGPU FT76-B7922 - Support up to 4x Intel® Xeon® E7-8800/ E7-4800 v3 (Haswell-EX) processors, 4x Intel® Xeon Phi™coprocessor module, 96x DDR4 DIMM slots, 2x PCI-E x8 hot-swap slots, 8x 2.5' hot-swap SAS 12Gb/s or SATA 6Gb/s HDDs/SSDs, dual-port 10GbE LOM, and (3+1) 4,800W redundant power supplies with 80-Plus Platinum rated....
Renesas Electronics Delivers R-Car H3, First SoC from the Third-Generation R-Car Automotive Computing Platform for ...
Edit Public Technologies 02 Dec 2015
(Source. Renesas Electronics Corporation). TOKYO, Japan, December 2, 2015 - Renesas Electronics Corporation (TSE ... The R-Car H3 realizes powerful automotive computing performance exceeding that of the predecessor R-Car H2 ... Key features of the new R-Car H3. ... ) for enhanced processing power ... 'GX6650 delivers premium graphics performance and features to enable future cockpit experiences, as well as comprehensive GPGPU capabilities.' ... Remarks....
Lenovo Announces Enterprise Innovation Center Collaborations (Lenovo Group Limited)
Edit Public Technologies 17 Nov 2015
Intel® Xeon® processors, Intel® Xeon Phi™ coprocessors, Intel® Omni-Path Architecture, and Intel® Solutions for Lustre* High Performance GPGPU's for machine learning and HPC applications Enhanced connectivity - up to 100G for clusters Cloud application optimization Energy efficient systems for hyperscale IP data centers Trusted Security platforms ......
Luxoft Develops Industry’s First Heterogeneous System Architecture Conformance Suite (Luxoft Holding Inc)
Edit Public Technologies 12 Nov 2015
(Source. Luxoft Holding Inc). Company Release - 11/9/2015 4.29 PM ET. NEW YORK--(BUSINESS WIRE)-- Luxoft Holding, Inc ... The Conformance Suite allows all HSA Foundation members to test their platforms for compliance with HSA 1.0 specifications, and will be made available to all members of HSA ... CPU, GPGPU, and DSP). The HSA Foundation drives standards for development for the new era of computing ... John Glossner, President of the HSA Foundation....
Acadine joins Linaro Mobile Group as first systems software company
Edit PR Newswire 29 Oct 2015
CAMBRIDGE, UK, Oct ... LMG was formed in July 2014 to consolidate and optimize open source software for ARM powered mobile phones, tablets, laptops and wearables. The Group's engineers work have been focused on the Android Open Source Project (AOSP), performance and power optimizations, graphics and GPGPU, and work with other groups in Linaro Core Engineering on other open source technologies ... Li Gong, Founder, Chairman and CEO of Acadine....
Australia's Largest University Debuts World's First 100G End-to-End Cloud Powered by Mellanox CloudX and Spectrum ...
Edit Public Technologies 27 Oct 2015
(Source. Mellanox Technologies Ltd). October 27, 2015. Monash University Reaches New Performance, Scalability and Efficiency Height with Their Nation-Wide Cloud Network Expansion ... (NASDAQ ... They are becoming the standard operating environment for the modern day researcher to support general purpose HPC and HTC (including GPGPU capabilities and Hadoop), interactive visualization and analysis ... Supporting Resources.. About Mellanox ... or ... or....
AMD Expands Embedded Graphics Lineup
Edit Stockhouse 29 Sep 2015
SUNNYVALE, CA--(Marketwired - Sep 29, 2015) - AMD (NASDAQ. AMD) today announced multiple new discrete AMD Embedded Radeon™ graphics options suitable for multiple form factors ... Three Levels of Performance ... E8950MXM. The new AMD Embedded Radeon E8950MXM Module is an incredibly powerful discrete GPU that is well-suited for GPGPU compute and built for 4K applications with support for 4K decode, 4K encode, and up to six 4K displays....
AMD Expands Embedded Graphics Lineup (AMD - Advanced Micro Devices Inc)
Edit Public Technologies 29 Sep 2015
(Source. AMD - Advanced Micro Devices Inc) Multiple Form Factors Across Several Performance and Power Options Address Variety of Embedded Design Needs. SUNNYVALE, CA -- (Marketwired) -- 09/29/15 -- AMD (NASDAQ ... E8950MXM. The new AMD Embedded Radeon E8950MXM Module is an incredibly powerful discrete GPU that is well-suited for GPGPU compute and built for 4K applications with support for 4K decode, 4K encode, and up to six 4K displays....
Rescale and CTC Announce Strategic Partnership to Provide Cloud HPC Platform in Japan (Itochu Techno-Solutions ...
Edit Public Technologies 18 Sep 2015
(Source. Itochu Techno-Solutions Corporation). ITOCHU Techno-Solutions Corporation (headquartered in Chiyoda-ku, Tokyo; Satoshi Kikuchi, President & CEO; hereinafter "CTC") has formed a strategic partnership Rescale, Inc ... Rescale Features. ... Extensive list of integrated analysis software ... *1 CAD ... GPGPU(General-purpose computing on a GPU), a technology for applying GPU arithmetic resources, has attracted attentions recently....
Qualcomm announces Snapdragon 820 with DSLR-like photo capabilities
Edit Deccan Chronicle 17 Aug 2015
... superior experiences with.Up to 40 percent lower power consumption and 40 percent faster performance for both graphics and GPGPU compute when compared to the Adreno 430;Leading-edge capabilities in graphics and compute APIs including OpenGL ES 3.1+AEP (Android Extension Pack), Renderscript, as well as the new OpenCL 2.0 and Vulkan standards....
Qualcomm Introduces Next-Generation GPU Architecture and Image Signal Processor for the Ultimate Graphics and Mobile Camera Experience -New Custom Adreno 5xx GPU and Qualcomm Spectra ISP Bring the Most Advanced Visual Processing Technology to Snapdragon Processors-
Edit PR Newswire 12 Aug 2015
LOS ANGELES, Aug. 12, 2015 /PRNewswire/ -- SIGGRAPH 2015 -- Qualcomm Incorporated (NASDAQ ... Up to 40 percent lower power consumption and 40 percent faster performance for both graphics and GPGPU compute when compared to the Adreno 430; Leading-edge capabilities in graphics and compute APIs including OpenGL ES 3.1+AEP (Android Extension Pack), Renderscript, as well as the new OpenCL 2.0 and Vulkan standards ... Qualcomm Contacts. ... ....
Cavium Announces Beta Support for PathScale EKOPath Compiler and Optimized Math Libraries on ThunderX™ Processor Family HPC development environment for the most demanding computationally complex and scientific computing applications now available
Edit PR Newswire 13 Jul 2015
FRANKFURT, Germany, July 13, 2015 /PRNewswire/ -- Cavium, Inc. (NASDAQ ... About PathScale ... The PathScale Compiler Suite has the world's most advanced optimization infrastructure and can fully exploit the potentials of many-core architectures The company's goal is to deliver robust and high performance compilers and GPGPU solutions tailored to clustered and multi-core computing environments. About Cavium ... For more information, please visit ... ....
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