Hi all
I have just uploaded MPACK 0.8.0RC2
http://sourceforge.net/projects/mplapack/files/mpack/mpack%200.8.0/mpack-0.8.0-RC2.tar.gz/download
https://sourceforge.net/projects/mplapack/files/mpack/mpack%200.8.0/mpack-0.8.0-RC2.tar.gz/download
.
MD5 (mpack-0.8.0-RC2.tar.gz) = c2aa0cf512a5dfcf2881c69f70953c02
Build fixes.
Build and make check have passed on
* Intel Composer 13.0.1 on Linux.
* Gcc on Linux (Ubuntu, RedHat)
* gcc47 on FreeBSD
* gcc46 on MacOSX Lion
* CUDA 3.1, 3.2, 4.0, 4.2, 5.0 on Linux Host
Best,
Nakata Maho
From: Maho NAKATA <ma...@ri...>
Subject: MPACK 0.8.0 RC1 : CUDA support for Rgemm in double-double precision.
Date: Thu, 29 Nov 2012 12:34:41 +0900 (JST)
> Hi all,
>
> I have just uploaded MPACK 0.8.0RC1
> http://sourceforge.net/projects/mplapack/files/mpack/mpack%200.8.0/mpack-0.8.0-RC1.tar.gz/download
> .
>
> CUDA version of Rgemm in double-double precision has been integrated.
> To enable CUDA version, pass configure to "--enable-cuda=yes"
> also, if multiple version of CUDA toolkit is installed or if you installed to a different
> directory than /usr/local/cuda/, you may want to
> speficfy like following
> --with-cudatoolkithome=/usr/local/cuda-5.0/
> .
>
> From my experience, CUDA 4.0 gives usually best performance.
> You don't want to use CUDA 3.1 and 3.2.
> CUDA 5.0 gives best when the size of matrix is multiple of 64, but much worse
> than 4.0, 3.2 and 3.1.
>
> Thanks
> -- Nakata Maho http://accc.riken.jp/maho/ , JA OOO http://ja.openoffice.org/
> http://blog.goo.ne.jp/nakatamaho/ ,GPG: http://accc.riken.jp/maho/maho.pgp.txt
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