Enviado.
El 22/02/2010, a las 01:45, "Edward J. Yoon" <[email protected]>
escribió:
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
