gpgpu-computing blogspot.com

Confessions of a Speed Junkie Overview

lt;brgt; lt;brgt; lt;brgt; lt;brgt; lt;brgt;lt;biggt;lt;bgt;lt;a hrefquot;httpgpgpu-computing.blogspot.com200908hitting-wall.htmlquot;gt; Overview lt;agt; lt;a hrefquot;httpgpgpu-computing4.blogspot.com200908parallel-decomposition.htmlquot;gt; Code Exampleslt;agt; lt;a hrefquot;httpgpgpu-computing5.blogspot.comquot;gt; Benchmarkslt;agt; lt;a hrefquot;httpgpgpu-computing2.blogspot.comquot;gt; Resources lt;agt; lt;a hrefquot;httpgp
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Confessions of a Speed Junkie Overview

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lt;brgt; lt;brgt; lt;brgt; lt;brgt; lt;brgt;lt;biggt;lt;bgt;lt;a hrefquot;httpgpgpu-computing.blogspot.com200908hitting-wall.htmlquot;gt; Overview lt;agt; lt;a hrefquot;httpgpgpu-computing4.blogspot.com200908parallel-decomposition.htmlquot;gt; Code Exampleslt;agt; lt;a hrefquot;httpgpgpu-computing5.blogspot.comquot;gt; Benchmarkslt;agt; lt;a hrefquot;httpgpgpu-computing2.blogspot.comquot;gt; Resources lt;agt; lt;a hrefquot;httpgp

CONTENT

This web page gpgpu-computing.blogspot.com states the following, "Confessions of a Speed Junkie Overview." We saw that the webpage said " Friday, August 14, 2009." It also said " In the past if a programs performance was less than adequate for the user you could typically just buy more powerful hardware to make it faster. With the impending collapse of Moores law this will no longer be true. So until they come up with subatomic computing, programmers will need to embrace parallel computing more in order to squeeze performance gains from their applications. So why am I posting this? Because GPGPU is, in my opinion."

SEEK SIMILAR DOMAINS

Confessions of a Speed Junkie Products

Tuesday, August 18, 2009. CULA is a LAPACK library from EM Photonics. Tuesday, August 18, 2009. Tuesday, August 11, 2009. Tuesday, August 11, 2009. You can build your own GPU cluster with Nvidia S1070 1Us connected to rack mounted servers.

Confessions of a Speed Junkie Resources

Thursday, August 13, 2009. Nvidia has an OpenCL beta download available. You must register as a Nvidia developer to gain access. Thursday, August 13, 2009.

Confessions of a Speed Junkie News

Thursday, July 15, 2010. announced today the general availability of CULA 2. 0, its GPU-accelerated linear algebra library used by thousands of developers and scientists worldwide.

Confessions of a Speed Junkie Code Examples

Friday, October 2, 2009.

Confessions of a Speed Junkie Benchmarks

Friday, August 14, 2009. The GPU that I am using is an Nvidia C1060 Tesla card. The card is housed in a Dell 690 with a 3. 2 GHz Intel Xeon processor, 2G of RAM, and the C1060 installed. The system is running RedHat 5. 0 Beta SDK and appropriate beta driver installed. As you can see from the graph above the fastest version of the model was the CUDA implementation. The CUDA version of the model was 2.