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>
 
+
+
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