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Friday, August 14, 2009. 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. 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.

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.

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.

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.