Документ взят из кэша поисковой машины. Адрес оригинального документа : http://num-meth.srcc.msu.ru/english/zhurnal/tom_2010/v11r209.html
Дата изменения: Thu Sep 30 17:15:11 2010
Дата индексирования: Mon Oct 1 22:50:04 2012
Кодировка:
"Some technological aspects of GPGPU applications in applied program systems"  
"Some technological aspects of GPGPU applications in applied program systems"
Galimov M.R., Biryaltsev E.V.

The problem of natural microseismic field analysis is considered. The performance of GPGPU technology is estimated when using single or multiple GPUs and various programming technologies, such as CUDA, JCuda and OpenCL. A comparison is made with the performance of the distributed memory cluster MVS-100K. The influence of several CUDA optimization techniques is estimated. The performance of a GPU cluster is studied with the use of several interprocessor communication technologies (MPI, MPJ, GridGain).

Keywords: high performance computing, parallel computing, GPGPU, Multi-GPU, microseisms

Galimov M.R. e-mail: mgalimov@ksu.ru,
Biryaltsev E.V. e-mail: Igenbir@yandex.ru