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akiraki id:akiraki

GPUã«é–¢ã™ã‚‹akirakiã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯ (6)

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http://www.mellanox.com/webinars/2012/Using-rCUDA-Virtual-GPU-Technology/
akiraki 2012/02/15
GPU

Infiniband
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2011å¹´11æœˆ16æ—¥ãƒ—ãƒ¬ã‚¹ãƒªãƒªãƒ¼ã‚¹ - ãƒ¡ãƒ©ãƒŽãƒƒã‚¯ã‚¹ã€ãƒãƒ¬ãƒ³ã‚·ã‚¢å·¥ç§‘å¤§å¦ã€ãƒã‚¦ãƒ¡Iå¤§å¦ã¨å…±åŒã§å…ˆé€²çš„ãªGPUã‚³ãƒ³ãƒ”ãƒ¥ãƒ¼ãƒ†ã‚£ãƒ³ã‚°å®Ÿç¾ã®ãŸã‚ã«InfiniBandã«å¯¾å¿œã—ãŸrCUDAã®ãƒ‡ãƒ¢ã‚’å®Ÿæ–½
akiraki 2012/02/15
Infiniband

GPU
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Visual Studio 2010 Express ã¨ CUDA4.0ã§ãƒ—ãƒã‚°ãƒ©ãƒ ã‚’å®Ÿè¡Œã—ã¦ã¿ã‚‹ ãã®1 ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ« - ç™ºç«å¾Œå¿˜å¤±
Windowsä¸Šã§ã®CUDAãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°ã¯Visual Studioä¸Šã§è¡Œã†ã®ãŒä¾¿åˆ©ãã†ãªã®ã§ç’°å¢ƒã‚’æ§‹ç¯‰ã—ã¦ã¿ã¾ã™ã€‚ ç¾æ™‚ç‚¹ã§æ—¥æœ¬èªžã®blogã‚„Webä¸Šã®è¨˜äº‹ã‚’æ¤œç´¢ã—ã¦ã¿ãŸã¨ã“ã‚ã€Visual Studio 2008 ã§è¡Œã†æ–¹æ³•ã®è¨˜è¼‰ãŒã»ã¨ã‚“ã©ã§ã—ãŸãŒã€CUDA4.0ã‹ã‚‰ã¯Visual Studio 2010 ã«å¯¾å¿œã—ã¦ã„ã¾ã™ã®ã§ã€ä»Šå›žã¯è¡¨é¡Œã®ãƒãƒ¼ã‚¸ãƒ§ãƒ³ã«æŒ‘æˆ¦ã—ã¾ã™ã€‚å®‰å®šæ€§ã®é¢ã§VS2008&CUDA3.2ã‚’é¸æŠžã™ã‚‹ã®ã‚‚ã‚¢ãƒªã ã¨æ€ã„ã¾ã™ã€‚ãã®å ´åˆã¯ä»–ã®æ–¹ã®è¨˜äº‹ã‚’å‚ç…§ãã ã•ã„ã€‚ æ§‹ç¯‰ã™ã‚‹ç’°å¢ƒã¯ä»¥ä¸‹ã®é€šã‚Šã§ã™ã€‚ OS: Windows7(SP1) 64bitç‰ˆ ã‚°ãƒ©ãƒ•ã‚£ãƒƒã‚¯ã‚«ãƒ¼ãƒ‰: GeForce GTS 450 (å‰å›žã®ã‚¨ãƒ³ãƒˆãƒªå‚ç…§) Visual C++ 2010 Express ã¨ Windows SDK 7.1 ã‚’ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«ã™ã‚‹ 64bitãƒã‚¤ãƒŠãƒªã‚’ä½œæˆã™ã‚‹ã®ã«ã¯Windows S
akiraki 2011/08/19
CUDA

GPU

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c++
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ç„¡ç·šLANã®WPA/WPA2-PSKã‚’GPUã§è¶…é«˜é€Ÿè§£æžã—ã¦ãƒ‘ã‚¹ãƒ¯ãƒ¼ãƒ‰ã‚’è¦‹ã¤ã‘ã‚‹ãƒ•ãƒªãƒ¼ã®ã‚ªãƒ¼ãƒ—ãƒ³ã‚½ãƒ¼ã‚¹ã‚½ãƒ•ãƒˆã€ŒPyritã€
ATI Stream ãƒ†ã‚¯ãƒŽãƒã‚¸ãƒ¼/Nvidia CUDA/OpenCLã‚’é§†ä½¿ã—ã€WPA/WPA2-PSKã‚’çªç ´ã™ã‚‹ãŸã‚ã«å¿…è¦ã¨ãªã‚‹å·¨å¤§ãªãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã‚’äº‹å‰ã«ä½œæˆã™ã‚‹ã“ã¨ã«ã‚ˆã£ã¦æ¥µã‚ã¦é«˜é€Ÿã«ãƒ‘ã‚¹ãƒ¯ãƒ¼ãƒ‰ã‚’è§£æžã§ãã‚‹ã®ãŒãƒ•ãƒªãƒ¼ã®ã‚ªãƒ¼ãƒ—ãƒ³ã‚½ãƒ¼ã‚¹ã‚½ãƒ•ãƒˆã€ŒPyritã€ã§ã™ã€‚åŽ³å¯†ãªãƒ©ã‚¤ã‚»ãƒ³ã‚¹ã¯GNU GPL v3ã¨ãªã£ã¦ã„ã¾ã™ã€‚ pyrit - WPA/WPA2-PSK and a world of affordable many-core platforms - Google Project Hosting http://code.google.com/p/pyrit/ äº‹å‰ã«å·¨å¤§ãªãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã‚’ä½œæˆã—ã¦ãŠããŸã‚ã€ãƒãƒ¼ãƒ‰ãƒ‡ã‚£ã‚¹ã‚¯ã®å®¹é‡ã¯å‰²ã¨å¿…è¦ã¨ãªã‚Šã¾ã™ãŒã€ãã‚Œã¨ãƒˆãƒ¬ãƒ¼ãƒ‰ã‚ªãƒ•ã§è§£æžé€Ÿåº¦ã‚’é«˜é€ŸåŒ–ã—ã‚ˆã†ã¨ã„ã†ã‚¢ãƒ—ãƒãƒ¼ãƒã«ãªã£ã¦ãŠã‚Šã€FreeBSDãƒ»MacOS Xãƒ»Linuxä¸Šã§å‹•ä½œã—ã€MinGWã‚’ä½¿ã†ã“
akiraki 2011/07/07
GPU

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CUDA Toolkit 4.0
Release Highlights Easier Application Porting Share GPUs across multiple threads Use all GPUs in the system concurrently from a single host thread No-copy pinning of system memory, a faster alternative to cudaMallocHost() C++ new/delete and support for virtual functions Support for inline PTX assem bly Thrust library of templated performance primitives such as sort, reduce, etc. NVIDIA Performance
akiraki 2011/06/23
CUDA

GPU

library
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YouTube - NVIDIA: Adam & Jamie draw a MONA LISA in 80 milliseconds!
NVIDIA: Adam and Jamie, hosts of the known mythbusters show compared a CPU vs a GPU to explain parallel processing and the GPU drew an ACTUAL mona lisa drawing using paint balls in 80 milliseconds!!!!!!!!!!!!!!! this was for NVIDIA's NVISION Show
akiraki 2011/06/21
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CPU

GPU
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