From: W. Trevor King <wking@drexel.edu> Date: Thu, 25 Nov 2010 15:31:33 +0000 (-0500) Subject: Update CUDA reference doc links. X-Git-Url: http://git.tremily.us/?a=commitdiff_plain;h=694807f7f0606eb58aff069e94df14d158608b6b;p=parallel_computing.git Update CUDA reference doc links. --- diff --git a/content/GPUs/index.shtml b/content/GPUs/index.shtml index 9c8959c..277f27e 100644 --- a/content/GPUs/index.shtml +++ b/content/GPUs/index.shtml @@ -69,14 +69,11 @@ Fortran, Java and Matlab.</p> Training</a>.</li> <li>An interesting primer is that of <a href="resources/Seland_2008_Cuda_Programming.pdf">Seland</a>.</li> - <li>Download the <em>CUDA Technical Training</em> documents: - <ul> - <li><a href="http://www.nvidia.com/docs/IO/47904/VolumeI.pdf">Volume - I: Introduction to CUDA Programming</a></li> - <li><a href="http://www.nvidia.com/docs/IO/47904/VolumeII.pdf">Volume - II: CUDA Case Studies</a></li> - </ul> - </li> + <li>Also look at + the <a href="http://developer.download.nvidia.com/compute/cuda/3_2/toolkit/docs/CUDA_C_Programming_Guide.pdf">CUDA + C Programming Guide</a> and other documentation distributed in + the <a href="http://www.nvidia.com/object/cuda_get.html">CUDA + toolkit</a>.</li> <li>David Kirk, NVDIA, and Wen-Mei Hwua, ECE, U of Illinos, have written an excellent textbook on CUDA: <a href="http://www.elsevierdirect.com/morgan_kaufmann/kirk/">Programming @@ -88,4 +85,6 @@ Fortran, Java and Matlab.</p> Gems 3</a> contains great demonstration GPU codes.</li> </ul> + + <!--#include virtual="$root_directory/shared/footer.shtml"-->