European Option Princing on a GPU Cluster
Résumé
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.
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