Parallel SP_N on Multi-Core CPUS and Many-Core GPUS

摘要

This paper presents two parallel Simplified P_N (SP_N) solver implementations for both multi-core Central Processing Units (CPU) and Graphics Processing Units (GPU). For a nuclear operator such as ??lectricit?? de France (EDF), the time required to carry out nuclear reactor core simulations is rather critical when dealing with production constraints. The SP_N method provides a convenient trade-off between accuracy and numerical complexity and is used in several industrial simulations. The parallelization of the SP_N algorithm reduces its computation time. To solve the problem on distributed memory machines such as PC clusters, Domain Decomposition Methods have been investigated. Complementary to this approach, this work aims to use emerging massively parallel processors such as the GPUs as well as current multi-core CPUs. Based on a fine grained parallelism, this solution achieves good performances on desktop machines. Our multi-core CPU and many-core GPU implementations allow us to solve 3D SP_N problems, respectively, 10 and 36 times faster than our sequential CPU reference.View full textDownload full textKeywordsSimplified PN approximation, Graphics Processing Units (GPUs), CUDA, Neutron transport, Multi-core processorsRelated var addthis_config = { ui_cobrand: "Taylor & Francis Online", services_compact: "citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,more", pubid: "ra-4dff56cd6bb1830b" }; var addthis_config = {"data_track_addressbar":true,"ui_click":true}; Add to shortlist Link Permalink http://dx.doi.org/10.1080/00411450.2010.533741