[B! CUDA] mEGGrimã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯

mEGGrim id:mEGGrim

CUDAã«é–¢ã™ã‚‹mEGGrimã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯ (17)

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CUDAã®ãƒ©ã‚¤ã‚»ãƒ³ã‚¹ã‚’èª¿ã¹ã¦ã¿ãŸ - ã¨ã‚Šã‚ãˆãšæ—¥è¨˜
CUDAã®ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«æ™‚ã«è¡¨ç¤ºã•ã‚Œã‚‹ãƒ©ã‚¤ã‚»ãƒ³ã‚¹ã‚’è¶…ç°¡å˜ã«èª¿ã¹ã¦ã¿ã¾ã—ãŸã€‚ ä»¥ä¸‹ãƒ©ã‚¤ã‚»ãƒ³ã‚¹ã®æŠœç²‹ã€‚ gdb/Open64 A. Licenseeâ€™s use of the following third party components is subject to the terms and conditions of GNU GPL v2.0: 1.gdb 2.Open64 CUDAã‚’gdb/Open64ä¸Šã§ä½¿ã†ã¨ãã¯GNU GPL v2.0ã§ä½¿ã£ã¦ãï¼ã¨ã„ã†æ„å‘³ã§ã—ã‚‡ã†ã‹ã€‚ gdb (The GNU Project Debugger) http://www.gnu.org/s/gdb/ Open64 Open64ã¯ã‚³ãƒ³ãƒ‘ã‚¤ãƒ©ã®ã‚ˆã†ã§ã™ã€åˆã‚ã¦çŸ¥ã‚Šã¾ã—ãŸã€‚ Open64ã¯ã‚‚ã¨ã‚‚ã¨SGIã§é–‹ç™ºã•ã‚Œã¦ã„ãŸPro64ã‚³ãƒ³ãƒ‘ã‚¤ãƒ©ã‚’ãƒ™ãƒ¼ã‚¹ã¨ã—ãŸã‚³ãƒ³ãƒ‘ã‚¤ãƒ©ãƒ—ãƒãƒ€ã‚¯ãƒˆã€‚C/C++ã€Fortranã®ã‚³ãƒ³ãƒ‘
mEGGrim 2011/12/14
GNU GPL

CUDA
ãƒªãƒ³ã‚¯
TAUcudaï¼ˆTAUã®CUDAçµŒç”±ã®GPUã®ã‚¤ãƒ™ãƒ³ãƒˆã®åŽé›†æ©Ÿèƒ½ï¼‰ã®ä½¿ã„æ–¹
æˆ»ã‚‹ TAUcudaï¼ˆTAUã®CUDAçµŒç”±ã®GPUã®ã‚¤ãƒ™ãƒ³ãƒˆã®åŽé›†æ©Ÿèƒ½ï¼‰ã®ä½¿ã„æ–¹ ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«ã«å¿…è¦ãªã‚‚ã® ãƒ»cudaã«å¯¾å¿œã—ãŸGPUã‚’æè¼‰ã—ãŸvideoã‚«ãƒ¼ãƒ‰ãŒã•ã•ã£ã¦ãŠã‚Šã€cudaã®ãƒ‰ãƒ©ã‚¤ãƒã‚„ãƒ„ãƒ¼ãƒ«ã‚ãƒƒãƒˆãŒã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«ã•ã‚ŒãŸLinuxç’°å¢ƒ Tauã®ãƒ€ã‚¦ãƒ³ãƒãƒ¼ãƒ‰ ã‚ªãƒ¬ã‚´ãƒ³å¤§å¦ã®ç ”ç©¶å®¤ã®ã‚µã‚¤ãƒˆã‹ã‚‰ãƒ€ã‚¦ãƒ³ãƒãƒ¼ãƒ‰ã—ã¦ãã‚‹ã€‚ http://www.cs.uoregon.edu/research/tau/downloads.php Tauã®ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«ã€€./configure ã€make install configureæ™‚ã«æœ€ä½Žé™å¿…è¦ãª-cudaã‚ªãƒ—ã‚·ãƒ§ãƒ³ã‚’é¸ã¶â†’ãƒ„ãƒ¼ãƒ«ã‚ãƒƒãƒˆã‚’ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«ã—ã¦ã„ã‚‹ãƒ‡ã‚£ãƒ¬ã‚¯ãƒˆãƒª(ãƒ‡ã‚£ãƒ•ã‚©ãƒ«ãƒˆã§ã¯/usr/local/cuda)ã‚’æŒ‡å®šã™ã‚‹ã€‚ ã‚ªãƒ—ã‚·ãƒ§ãƒ³æŒ‡å®šä¾‹ã€€-cuda=/usr/local/cuda ãƒ»ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«å¾Œtau_execã®ã‚ã‚‹ãƒ‡ã‚£ãƒ¬ã‚¯ãƒˆãƒª(è‡ªåˆ†ã®ç’°å¢ƒã§
mEGGrim 2011/09/09
CUDA

GPGPU
ãƒªãƒ³ã‚¯
CUDAç”¨ãƒ¡ãƒ¢ãƒªã‚¯ãƒ©ã‚¹(ç´ ä½“): æ™¶ç´€ã®é¤¨ ç¬¬2åˆ¥é¤¨
CUDAã®ãƒ—ãƒã‚°ãƒ©ãƒ ã¯ã€æ€ã„åˆ‡ã‚Šã‚·ãƒ³ãƒ—ãƒ«ã«ã™ã‚‹ã¨ã€ã“ã‚“ãªæ„Ÿã˜ã«ãªã‚Šã¾ã™ã€‚ const int N = 256; float* h_A = (float*)malloc(sizeof(float)*N); float* d_A; cudaMalloc((void**)&d_A, sizeof(float)*N); for (int i = 0; i < N; i++) h_A[i] = i; cudaMemcpy(d_A, h_A, sizeof(float)*N, cudaMemcpyHostToDevice); func<<<1, N>>>(d_A); cudaMemcpy(h_A, d_A, sizeof(float)*N, cudaMemcpyDeviceToHost); free(h_A); cudaFree(d_A); ãƒ¡ãƒ¢ãƒªã‚’ç¢ºä¿ã™ã‚‹ GPUã«ãƒ‡ãƒ¼ã‚¿ã‚’é€ã‚‹ è¨ˆç®—ã™ã‚‹ GPUã‹ã‚‰
mEGGrim 2011/08/05
cuda

boost

c++
ãƒªãƒ³ã‚¯
Research Group Programming Languages / Methodologies: CuPP
28.02.2009: Version 0.1.1 has a bug that requires all CUDA kernels to be compiled with the option "-DNVCC". This will be fixed in the next release. 16.01.2009: The paper "CuPP -- A framework for easy CUDA integration" was accepted for HIPS 2009. Introduction CuPP is our newly developed C++ framework designed to ease integration of NVIDIAs GPGPU system CUDA into existing C++ applications. CuPP pr
mEGGrim 2011/08/02
cupp

cuda
ãƒªãƒ³ã‚¯
CUDAã‚¢ãƒˆãƒŸãƒƒã‚¯é–¢æ•° - PukiWiki Plus!
ã‚¢ãƒˆãƒŸãƒƒã‚¯é–¢æ•° ã‚ã‚‹ã‚¹ãƒ¬ãƒƒãƒ‰ãŒã‚°ãƒãƒ¼ãƒãƒ«ãƒ¡ãƒ¢ãƒªã‚„ã‚·ã‚§ã‚¢ãƒ¼ãƒ‰ãƒ¡ãƒ¢ãƒªä¸Šã®ãƒ‡ãƒ¼ã‚¿ã‚’èªã¿è¾¼ã¿ï¼Œä¿®æ£ã—ï¼Œæ›¸ãè¾¼ã‚€(read-modify-write)ã¨ã„ã†ä¸€é€£ã®å‡¦ç†ã‚’è¡Œã†ã¨ãï¼Œãã®å‡¦ç†ä¸ã«ãã®ãƒ¡ãƒ¢ãƒªé ˜åŸŸã«ä»–ã®ã‚¹ãƒ¬ãƒƒãƒ‰ãŒæ›¸ãè¾¼ã¿ãŒè¡Œã‚ã‚Œãªã„ã‚ˆã†ã«ã—ãŸã„å ´åˆãŒã‚ã‚Šã¾ã™ï¼ŽCUDAã«ã¯ã“ã‚Œã‚’ä¿è¨¼ã™ã‚‹ã‚¢ãƒˆãƒŸãƒƒã‚¯é–¢æ•°ãŒç”¨æ„ã•ã‚Œã¦ãŠã‚Šï¼Œ32bitã¾ãŸã¯64bitãƒ¯ãƒ¼ãƒ‰é•·ã®read-modify-writeæ“ä½œä¸ã«ä»–ã®ã‚¹ãƒ¬ãƒƒãƒ‰ã‹ã‚‰ã®å¹²æ¸‰ã‚’é˜²ã„ã§ãã‚Œã¾ã™ï¼Ž CUDAã®ã‚¢ãƒˆãƒŸãƒƒã‚¯é–¢æ•°ã¯ãã®åå‰ãŒatomicã‹ã‚‰å§‹ã¾ã£ã¦ã„ã‚‹ã®ã§ã‚ã‹ã‚Šã‚„ã™ã„ã¨æ€ã„ã¾ã™ï¼Ž ã¾ãŸï¼Œsigned integerã¨unsigned integerã®ã¿å¯¾å¿œã—ã¦ã„ã¾ã™(atomicExch()ã‚’é™¤ã)ï¼Ž å„é–¢æ•°ã¯å¼•æ•°ã¨ã—ã¦ï¼Œintã‚‚ã—ãã¯unsigned intã®ã‚¢ãƒ‰ãƒ¬ã‚¹ã¨å€¤ã‚’å–ã‚Šã¾ã™ (atomicExch()ã¯floatã‚‚ï¼ŒatomicInc
mEGGrim 2011/07/29
CUDA

programming
ãƒªãƒ³ã‚¯
ãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°/CUDA/Fermi Compatibility Guideæ—¥æœ¬èªžè¨³ - futada wiki
Fermi Compatibility Guideæ—¥æœ¬èªžè¨³ NVIDIAãŒå…¬é–‹ã—ã¦ã„ã‚‹Fermi Compatibility Guide for CUDA Applications Version 1.3 (8/17/2010)ã®æ—¥æœ¬èªžã¸ã®æ„è¨³ã§ã™ã€‚ http://developer.download.nvidia.com/compute/cuda/3_2_prod/toolkit/docs/Fermi_Compatibility_Guide.pdf åŽŸæ–‡copyrightï¼šÂ© 2010 NVIDIA Corporation. All rights reserved. è‡ªåˆ†ã®å‹‰å¼·ã®ãŸã‚ã«è¨³ã—ã¦ã„ã‚‹ã ã‘ã§ã€æœªä¿è¨¼ã§ã™ã€‚ ã‚½ãƒ•ãƒˆã‚¦ã‚§ã‚¢è¦ä»¶ ã“ã®æ–‡æ›¸ã«ã¤ã„ã¦ ã“ã®Fermi Compatibility Guide for CUDA Applicationsã¯ã€CUDAã‚¢ãƒ—ãƒªã‚±ãƒ¼ã‚·ãƒ§ãƒ³ãŒFerim
mEGGrim 2011/07/14
CUDA

Fermi
ãƒªãƒ³ã‚¯
Ubuntu 10.10ã«CUDAã‚’ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«ã—ãŸæ™‚ã®ãƒ¡ãƒ¢ - irieã‚ã‚‚
å…ˆæ—¥ã€ã€ŒUbuntu 10.04ã«CUDAã‚’ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«ã—ãŸæ™‚ã®ãƒ¡ãƒ¢ - irieã‚ã‚‚ã€ã¨ã„ã†æ—¥è¨˜ã‚’æ›¸ãã¾ã—ãŸãŒã€Ubuntuã‚’10.10ã«ã‚¢ãƒƒãƒ—ã‚°ãƒ¬ãƒ¼ãƒ‰ã—ã¦CUDAã‚‚æ–°ã—ã„ãƒãƒ¼ã‚¸ãƒ§ãƒ³ (3.2 RC2) ã‚’å…¥ã‚Œç›´ã—ãŸã®ã§ã€ã‚‚ã†ä¸€åº¦ã¾ã¨ã‚ã¦ã¿ã¾ã—ãŸã€‚å‰å›žã¨ã»ã¼åŒã˜æ‰‹é †ã§ã™ãŒã€å°‘ã—é•ã†ç‚¹ã‚‚ã‚ã‚Šã¾ã™ã€‚ ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«ã¯ä»¥ä¸‹ã®é †åºã§è¡Œã„ã¾ã™ã€‚ Ubuntu 10.10 NVIDIAè£½ãƒ‡ã‚£ã‚¹ãƒ—ãƒ¬ã‚¤ãƒ‰ãƒ©ã‚¤ãƒ CUDAãƒ—ãƒã‚°ãƒ©ãƒ ã®ã‚³ãƒ³ãƒ‘ã‚¤ãƒ«ã«å¿…è¦ãªãƒ©ã‚¤ãƒ–ãƒ©ãƒªç‰ CUDA Toolkit 3.2 RC2 GPU Computing SDK 3.2 RC2 CUDA 3.2 ã®æ£å¼ç‰ˆãŒãƒªãƒªãƒ¼ã‚¹ã•ã‚ŒãŸã®ã§æ›´æ–°ã—ã¾ã—ãŸã€‚(10/12/05) Ubuntu 10.10 ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«æ–¹æ³•ã¯ã„ã‚ã„ã‚ãªã¨ã“ã‚ã«æ›¸ã‹ã‚Œã¦ã„ã‚‹ã®ã§ã€ã“ã“ã§ã¯çœç•¥ã—ã¾ã™ã€‚ä½¿ç”¨ã™ã‚‹PCãŒ Core i7 CPU + ãƒ¡ã‚¤ãƒ³ãƒ¡ãƒ¢ãƒªãƒ¼ 12GiB
mEGGrim 2011/04/08
cuda

ubuntu
ãƒªãƒ³ã‚¯
Ocelot : Binary translator for PTX.
mEGGrim 2011/01/17
CUDA

ä¸¦åˆ—å‡¦ç†
ãƒªãƒ³ã‚¯
GPGPU å‹‰å¼·ä¼š - CUDA library
thrust <URL:http://code.google.com/p/thrust/> STLã®ã‚ˆã†ãªã‚³ãƒ³ãƒ†ãƒŠãŒæ‰±ãˆã‚‹ã‚ˆã†ã«ãªã‚Šã¾ã™ã€‚mallocã¨ã‹freeã‚’ã—ãªãã¦ã™ã‚€ã‚ˆã†ã«ãªã‚‹ã—ã€sortã¨ã‹ã‚‚ã¤ã„ã¦ãã¾ã™ã€‚ ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«ã™ã‚‹ã«ã¯ã€ # Non-members may check out a read-only working copy anonymously over HTTP. svn checkout http://thrust.googlecode.com/svn/trunk/ thrust-read-only ã¨ã—ã¦ã€ãƒ¬ãƒã‚¸ãƒˆãƒªã‚’å–å¾—ã—ã€ cp -ri thrust-read-only/thrust /usr/local/cuda/include/ thrustãƒ•ã‚©ãƒ«ãƒ€ã®ä¸èº«ã‚’CUDAã®ã‚¤ãƒ³ã‚¯ãƒ«ãƒ¼ãƒ‰ãƒ‡ã‚£ãƒ¬ã‚¯ãƒˆãƒªã«å…¥ã‚Œã‚‹ã¨ã‚ˆã„ã§ã™ã€‚ GPUWorker <URL:http
mEGGrim 2010/12/06
CUDA

GPGPU
ãƒªãƒ³ã‚¯
CUDAã§Functorã‚’ä½¿ã† æ•æ‰ - fjnlã®ç”Ÿå˜è¨˜éŒ²ã®ã‚ˆã†ãªä½•ã‹
CUDAã§Functorã‚’ä½¿ã† - fjnlã®ç”Ÿå˜è¨˜éŒ²ã®ã‚ˆã†ãªä½•ã‹ã«å¯¾ã™ã‚‹æ•æ‰ã§ã™ã€‚ å½“åˆã€CUDAã¯ãƒ‡ãƒã‚¤ã‚¹ã‚³ãƒ¼ãƒ‰ã¸ã®ãƒ‘ãƒ©ãƒ¡ãƒ¼ã‚¿ã‚’shared memoryçµŒç”±ã§æ¸¡ã—ã¦ã„ã¾ã—ãŸã€‚ã—ã‹ã—ã€Compute Capability 2.0*1ã‹ã‚‰ã¯constant memoryçµŒç”±ã§æ¸¡ã•ã‚Œã‚‹ã‚ˆã†ã«å¤‰æ›´ã•ã‚Œã¦ã„ã¾ã™ã€‚shared memoryã«æ¯”ã¹ã‚Œã°constant memoryã¯å®¹é‡ã«ä½™è£•ãŒã‚ã‚‹äº‹ãŒå¤šã„ãŸã‚ã€ã“ã‚Œã¯å¬‰ã—ã„å¤‰æ›´ã§ã‚ã‚‹ã¨æ€ã„ã¾ã™ã€‚ ã•ã¦ã€ãƒ¡ãƒ³ãƒã®ãªã„functorã¯ã€ä»¥ä¸‹ã®ã‚ˆã†ã«PTXä¸Šã§ã¯1ãƒã‚¤ãƒˆã®å¤‰æ•°ã¨ã—ã¦æ‰±ã‚ã‚Œã¦ã„ã¾ã™ã€‚Compute Capability 2.0ä»¥å‰å‘ã‘ã®ã‚³ãƒ¼ãƒ‰ã§shared memoryã‚’ã‚«ãƒ„ã‚«ãƒ„ã«ä½¿ã£ã¦ã„ã‚‹å ´åˆã«ã¯ã€functorã‚’ä½¿ã„ãŸãã¦ã‚‚ä½¿ãˆãªã„ã¨ã„ã†å ´åˆãŒã‚ã‚‹ã‹ã‚‚ã—ã‚Œã¾ã›ã‚“ã€‚(ãƒ¬ã‚¢ã‚±ãƒ¼ã‚¹ã™ãŽã‚‹ã‹ãªãâ€¦) .param .align 1 .b8 _
mEGGrim 2010/11/22
cuda
ãƒªãƒ³ã‚¯
[CUDA] GPUãƒ‡ãƒã‚¤ã‚¹ã‹ã‚‰printfã™ã‚‹ - fjnlã®ç”Ÿå˜è¨˜éŒ²ã®ã‚ˆã†ãªä½•ã‹
CUDA Toolkit 3.1ã‹ã‚‰ãƒ‡ãƒã‚¤ã‚¹ã‹ã‚‰printfã‚’ç™ºè¡Œã§ãã‚‹ã‚ˆã†ã«ãªã‚Šã¾ã—ãŸï¼ŽãŸã ã—ï¼ŒDevice Capability 2.0ä»¥é™ã®ãƒ‡ãƒã‚¤ã‚¹ã§ãªã‘ã‚Œã°ã‚µãƒãƒ¼ãƒˆã•ã‚Œã¦ã„ãªã„ã®ã§ï¼ŒGTX480ã¨ã„ã£ãŸã„ã‚ã‚†ã‚‹Fermiã‚¢ãƒ¼ã‚ãƒ†ã‚¯ãƒãƒ£ã®ã‚«ãƒ¼ãƒ‰ãŒå¿…è¦ã§ã™ï¼Ž #include <stdio.h> __global__ void test() { printf("Hello world from %d of %d\n", threadIdx.x, blockDim.x); } int main() { test<<<1, 32>>>(); cudaThreadSynchronize(); return 0; } printfãŒä½¿ãˆã‚‹ã‚ˆã†ã«ãªã£ãŸã¨ã¯ã„ãˆï¼ŒCPUã®ã‚ˆã†ã«ä½¿ã†ã‚ã‘ã«ã¯ã„ãã¾ã›ã‚“ï¼Žåˆ¶é™äº‹é …ã«ã¤ã„ã¦ã¯ï¼ŒCUDA Programming Manualã®B.14ã®Formatted
mEGGrim 2010/11/22
cuda
ãƒªãƒ³ã‚¯
NVIDIAãƒ•ã‚©ãƒ¼ãƒ©ãƒ
http://http.download.nvidia.com/developer/SDK/Individual_Samples/DEMOS/common/NvCpl.zip ã‹ã‚‰ãƒ€ã‚¦ãƒ³ãƒãƒ¼ãƒ‰ã—ãŸã‚µãƒ³ãƒ—ãƒ«ã‚³ãƒ¼ãƒ‰ã«æ‰‹ã‚’å…¥ã‚Œã¦å®Ÿè¡Œã—ãŸçµæžœã€å–å¾—ã§ãã¾ã—ãŸã€‚ å‚è€ƒã¾ã§ã«è©¦ã—ãŸã‚³ãƒ¼ãƒ‰ã‚’è¼‰ã›ã¦ãŠãã¾ã™ã€‚ // Load NVCPL library HINSTANCE hLib = ::LoadLibrary("NVCPL.dll"); if (hLib != NULL) { Â Â Â Â // Get the NvCplGetThermalSettings function pointer from the library Â Â Â Â fNvCplGetThermalSettings NvCplGetThermalSettings = (fNvCplGetThermalSettings)::G
mEGGrim 2010/11/22
cuda
ãƒªãƒ³ã‚¯
ã¯ã¦ãªãƒ–ãƒã‚° | ç„¡æ–™ãƒ–ãƒã‚°ã‚’ä½œæˆã—ã‚ˆã†
2024å¹´ä¸‹åŠæœŸã®ãƒ•ã‚£ãƒ«ãƒ å†™çœŸãŸã¡ ãµã¨æ°—ãŒã¤ãã¨2024å¹´ã‚‚æ®‹ã‚Šåƒ…ã‹ã€‚ ãã—ã¦ãµã¨æŒ¯ã‚Šè¿”ã‚‹ã¨ã“ã®ãƒ–ãƒã‚°ã«æŽ²è¼‰ã™ã‚‹å†™çœŸãŒGRIIIã§æ’®ã£ãŸã‚‚ã®ã°ã‹ã‚Šã«ãªã£ã¦ã„ãŸã®ã ã‘ã©ã€æ±ºã—ã¦ãƒ•ã‚£ãƒ«ãƒ ã«é£½ããŸã¨ã„ã†ã“ã¨ã§ã¯ãªãã€ãƒ•ã‚£ãƒ«ãƒ ã¯ãƒ•ã‚£ãƒ«ãƒ ã§æ·¡ã€…ã¨æ’®ã‚Šç¶šã‘ã¦ã„ã‚‹ã—ã€ãƒ¢ãƒŽã‚¯ãƒã‚‚ã‚«ãƒ©ãƒ¼ãƒã‚¬ã‚‚ã„ã¤ã‚‚é€šã‚Šè‡ªå®…ã§â€¦
mEGGrim 2010/11/21
cuda

CUDA
ãƒªãƒ³ã‚¯
ã¯ã¦ãªãƒ–ãƒã‚° | ç„¡æ–™ãƒ–ãƒã‚°ã‚’ä½œæˆã—ã‚ˆã†
æ–°ç±³ã¨ç§‹åˆ€éšã®ã‚ãŸç„¼ã ãŠåˆºèº«ç”¨ã®ç§‹åˆ€éšã‚’è²·ã„ã¾ã—ãŸã€‚1å°¾250å††ã§ã™ 3æžšã«ãŠã‚ã—ã¦ã€ç§‹åˆ€éšã®ã‚ãŸã«é…’ã€å‘³é†‚ã€é†¤æ²¹ã§èª¿å‘³ã—ã¦1æ™‚é–“ã»ã©æ¼¬ã‘è¾¼ã¿ã€ã‚°ãƒªãƒ«ã§ç„¼ãã¾ã—ãŸ ç§‹åˆ€éšã®ã‚ãŸç„¼ã ã‚ãŸã®ã€è‹¦å‘³ãŒç¨‹ã‚ˆããƒžã‚¤ãƒ«ãƒ‰ã«èª¿å‘³ã•ã‚Œã€ã‚¯ã‚»ã«ãªã‚‹å‘³ã‚ã„ã§ã™ è‰¶ã‚„ã‹ãªæ–°ç±³ã¨ä¸€ç·’ã« è‡ªå®¶è£½ãŠæ¼¬ç‰© åœŸâ€¦
mEGGrim 2010/10/28
CUDA
ãƒªãƒ³ã‚¯
install cuda 3.2 RC di ubuntu 10.04
fiuuuhâ€¦akhirnya cuda versi 3.2 bisa keinstall di ubuntu 10.04 caranya yang pertama kesini dulu http://developer.nvidia.com/object/cuda_3_2_toolkit_rc.html download Developer Drivers for Linux (260.24), CUDA Toolkit for Ubuntu Linux 10.04, GPU Computing SDK code samples install Developer Drivernya kayak biasanya aja : sudo /etc/init.d/gdm stop sudo ./devdriver_3.2_linux_32_260.24.run tapi berhubung
mEGGrim 2010/10/26
CUDA

Ubuntu
ãƒªãƒ³ã‚¯
Google Code Archive - Long-term storage for Google Code Project Hosting.
Code Archive Skip to content Google About Google Privacy Terms
mEGGrim 2010/10/18
CUDA
ãƒªãƒ³ã‚¯
CUDAã§ã®æ„šã‹ãªãƒŸã‚¹
mEGGrim 2010/10/06
CUDA
ãƒªãƒ³ã‚¯
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