High dimensional pricing of exotic European contracts on a GPU Cluster, and comparison to a CPU cluster

The aim of this paper is the efficient use of CPU and GPU clusters for a general path-dependent exotic European pricing, and their comparison in terms of speed and energy consumption. To reach our goal, we propose a parallel random number generator which is well suited to the parallelization paradigm, then, we implement a multidimensional Asian contract as a benchmark using g++/OpenMP/OpenMPI on CPUs and CUDA-nvcc/OpenMPI on GPUs. Finally, we give the detailed results of the two architectures for different size problems using 1-16 GPUs and 1-256 dual-core CPUs.