378 articles – 175 references  [version française]
HAL: hal-00364242, version 1

Detailed view  Export this paper
European Option Princing on a GPU Cluster
Lokman A. Abbas-Turki 1, Stéphane Vialle 2, 3
(2009-02-25)

The aim of this presentation is a comparison in terms of speed and energy consumption between CPU and GPU clusters using financial application as a benchmark. After a fast introduction on the field of application we will give details on the hardware and software architectures used. Then we will introduce a multiparadigm parallel algorithm, mixing coarse and fine grained parallelism, and its implementations using MPI+OpenMP on CPU cluster and MPI+CUDA on GPU cluster. Finally, some computing and energetic performances on different clusters will be compared.
1:  Centre d'Enseignement et de Recherche en Mathématiques et Calcul Scientifique (CERMICS)
Ecole des Ponts ParisTech
2:  SUPELEC-Campus Metz
SUPELEC
3:  ALGORILLE (INRIA Lorraine - LORIA)
INRIA – CNRS : UMR7503 – Université Henri Poincaré - Nancy I – Université Nancy II – Institut National Polytechnique de Lorraine (INPL)
Computer Science/Distributed, Parallel, and Cluster Computing
Attached file list to this document: 
PDF
JTE-GPGPU-2-AbbasTurki-Vialle-2008-12-04.pdf(288.7 KB)