From: W. Trevor King <wking@drexel.edu>
Date: Thu, 25 Nov 2010 15:44:31 +0000 (-0500)
Subject: Add CUDA SDK link and point to borg3 local copies.
X-Git-Url: http://git.tremily.us/?a=commitdiff_plain;h=647aaaa5dd881e31b0f79ffc21411e16d1a8ed34;p=parallel_computing.git

Add CUDA SDK link and point to borg3 local copies.
---

diff --git a/content/GPUs/index.shtml b/content/GPUs/index.shtml
index 1dcc26c..4230520 100644
--- a/content/GPUs/index.shtml
+++ b/content/GPUs/index.shtml
@@ -73,7 +73,15 @@ Fortran, Java and Matlab.</p>
 		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>
+		toolkit</a>.  Because the toolkit is a critical part of a working
+		CUDA installation, it may already be installed on your system.
+		On <code>borg3</code>, look in <code>/usr/local/cuda/</code>.</li>
+	<li>The CUDA SDK (download links on
+		the <a href="http://www.nvidia.com/object/cuda_get.html">CUDA
+		toolkit page</a>) contain lots of useful examples.  Your sysadmin
+		may have installed it while setting up CUDA on your system.
+		On <code>borg3</code> look
+		in <code>/usr/local/cuda/doc/NVIDIA_GPU_Computing_SDK/</code>.</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