FYI, more detailed post: http://blog.udanax.org/2010/02/interesting-project-hama-mrcl.html
On Mon, Feb 22, 2010 at 2:45 PM, Edward J. Yoon <[email protected]> wrote: > There is a report about performance of GPU-accelerated matrix > computation with M/R. > > http://mrcl.googlecode.com/svn/trunk/report/ (korean) > > In a nutshell, they performed matrix multiplication using Map/Reduce > (block algorithm for distributed computing) and GPU acceleration > technology. GPU technology was used for each local computation. And, > it implying that no improvement was made, because we can see a obvious > improvement of GPU acceleration when input is large. > > On Fri, Feb 12, 2010 at 1:35 PM, Edward J. Yoon <[email protected]> wrote: >> I just found this project -- http://code.google.com/p/mrcl/ >> >> CUBLAS is a BLAS library ported to CUDA, which enables the use of fast >> computing by GPUs without direct operation of the CUDA drivers. >> >> -- >> Best Regards, Edward J. Yoon @ NHN, corp. >> [email protected] >> http://blog.udanax.org >> > > > > -- > Best Regards, Edward J. Yoon @ NHN, corp. > [email protected] > http://blog.udanax.org > -- Best Regards, Edward J. Yoon @ NHN, corp. [email protected] http://blog.udanax.org
