Re: [Mplapack-devel] Accelerated double-double version of Regmm on NVIDIA C2050

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Hi Fletcher,
Many thanks, and could you please paste your error?
Are you trying to build on CUDA 4.0? Currenlty only CUDA 3.2 is supported...
thanks
 Nakata Maho

From: "Fletcher, John P" <j.p...@as...>
Subject: RE: [Mplapack-devel] Accelerated double-double version of Regmm on NVIDIA C2050
Date: Mon, 31 Oct 2011 10:48:46 +0000

> Maho
> 
> I am attempting to get this code working on my system with a GTX 460 card.
> 
> At the moment I have a strange problem compiling the code which is a failure to find __builtin_isfinite. This seems to be a problem between gcc 4.4 and the nvcc compiler, which has occurred in a number of projects as well.  I have overcome this temporarily by doctoring the isfinite implementation in dd_real.h
> 
> The other problem is about compatibility of NVIDIA driver versions.
> 
> I am hopeful of overcoming these as I have MPACK working with qd on my computer, and also code which works with CUDA.
> 
> I will report further when I have a solution.
> 
> If anyone else can help, please post a reply.
> 
> Thank you for this work.
> 
> John
> 
> Dr John P. Fletcher Tel: (44) 121 204 3389 (direct line), FAX: (44) 121 204 3678
> Chemical Engineering and Applied Chemistry (CEAC),
> Associate Dean - External Relations,
> School of Engineering and Applied Science (EAS),
> Aston University, Aston Triangle, BIRMINGHAM B4 7ET  U.K.               
> 
> 
> 
> -----Original Message-----
> From: Maho NAKATA [mailto:ch...@ma...] 
> Sent: 28 October 2011 01:54
> To: mpl...@li...
> Cc: y-...@jf...; hi...@ri...
> Subject: [Mplapack-devel] Accelerated double-double version of Regmm on NVIDIA C2050
> 
> Hi all,
> 
> I have just uploded Accelerated double-double version of Regmm on NVIDIA C2050.
> You can download from here http://sourceforge.net/projects/mplapack/files/mpack/ .
> more explicitly,
> http://sourceforge.net/projects/mplapack/files/mpack/Rgemm_C2050_20111026.tar.gz/download
> the file name is Rgemm_C2050_20111026.tar.gz.
> 
> This is preliminary version of double-double version Rgemm,
> for benchmarking purpose. 
> 
> Requirements:
>  * NVIDIA C2050 or C2070.
>  * CUDA 3.2
>  * SDK assumed to be installed at /usr/local/cuda/.
> 
> How to test:
>  $ tar xvfz Rgemm_C2050_20111026.tar.gz
>  $ cd Rgemm_C2050
>  $ make
>  ...
>  building Rgemm for C2050, and taking benchmark and results are 
>  saved as CSV files.
>  The default precision for multiplication and addition is rounding
>  IEEE's one.
>  subdir bench_all
>      test square matrix of various size.
>  subdir bench_ecc_onoff
>      test ecc on/off case. change in ECC configuration requires reboot.
>  subdir bench_jitter
>      test jitter of NVIDIA GPU. 
>  subdir bench_pointerredirecting
>      test the effect of pointer redirecting.
>  subdir bench_rectangular
>      test matrix-matrix multiplication for rectangular matrix.
>  subdir bench_sloppy
>      test lower accurate methods.
> 
> How to look at the results:
> All results are in csv file. For example, please open the "Rgemm_NN_Total_bench.csv" 
> file. This result includes CPU-GPU transfer time (Total), all matrices are not transposed,
> (NN) and all matrices are square matrices. First five lines can be ignored. Next line shows
> "2, 0.00007523". This means A, B, and C are 2x2 matrices, and 0.00007523 means
> 0.00007523 GFlops. Therefore, this csv file's format is "size, Gflops".
> 
> --quote start
> device_count : 1
> device name -> Tesla C2050 
> cudareturn -> 0
> cudaGetDevice()=0
> n - n mode
> 2, 0.00007523
> 8, 0.00401315
> 15, 0.02368548
> 32, 0.18986460
> 47, 0.51354554
> 64, 1.10947988
> 65, 1.05225521
> 81, 1.77540829
> 97, 2.11975457
> ...
> --quote end
> 
> Notes:
> The full reference version can be downloaded is
> http://mplapack.sourceforge.net/, and this version of Rgemm will be integrated
> hopefully soon.
> 
> License:
>  2-clause BSD style license. See each files for details.
> 
> Citation:
>  *"Acceleration of matrix-matrix product in double-double precision using GPU",
>    Maho NAKATA, Yasuyoshi TAKAO, Shigeho NODA, and Ryutaro HIMENO,
>    Keisankogakukoenkai Ronbunsyuu, Vol. 16. 2011.
>  * "Rgemm-preprint.ja.pdf" is included as well (preprint, in Japanese).
> 
> Programmed by:
>  Takao, Yasuyoshi, Nakata, Maho, and RIKEN.
> 
> Enjoy,
> -- 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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