GPU Accelerated Parallel Computing in Nuclear Problems

Authors

  • Claudio Marcio do Nascimento Abreu Pereira Instituto de Engenharia Nuclear

Keywords:

parallel computing, GPU, nuclear reactor

Abstract

This progress report is aimed to inform about our recent research related to GPU accelerated parallel computing applied to nuclear problems, which are i) the core reload problem and ii) the atmospheric dispersion of radionuclides.

References

Nicholas Wilt. The CUDA Handbook: A Comprehensive Guide to GPU Programming. Pearson Education Inc, 2013

Pereira, C.M.N.A., Mol, A.C.A., Heimlich, A., Moraes, S.R.S. e Resende, P. Development and performance analysis of a parallel Monte Carlo neutron transport simulation program for GPU-Cluster using MPI and CUDA technologies. Progress in Nuclear Energy, 2013, 65, p.88-94.

CUDA Fortran Programming Guide and Reference, PGI Compilers and Tools, 2015. (http://www.pgroup.com/resources/docs.htm)

Stephen Blair-Chappell, Andrew Stokes. Parallel Programming with Intel Parallel Studio XE, Wiley, 2012.

Capa Progress Report 2013-2014

Downloads

Published

2015-12-10

How to Cite

Pereira, C. M. do N. A. (2015). GPU Accelerated Parallel Computing in Nuclear Problems. Instituto De Engenharia Nuclear: Progress Report, (2), 53. Retrieved from https://revistas.ien.gov.br/index.php/ienprogressreport/article/view/200

Issue

No. 2 (2015): IEN - Progress Report 2013-2014 n.2

Section

Technology Development for Complex Systems