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Article
Solution of the Population Balance Equation Using Parallel Adaptive Cubature on GPUs
Computers & Chemical Engineering
  • Fabio P. Santos, Universidade Federal do Rio de Janeiro
  • Inanc Senocak, Boise State University
  • Jovani L. Favero, Universidade Federal do Rio de Janeiro
  • Paulo L. C. Lage, Universidade Federal do Rio de Janeiro
Document Type
Article
Publication Date
8-8-2013
Abstract
The Dual Quadrature Method of Generalized Moments (DuQMoGeM) is an accurate moment method for solving the population balance equation (PBE). The drawback of DuQMoGeM is the high computational cost associated with numerical integrations of the PBE integral terms in which each integrand can be integrated independently and, therefore, amenable to parallelization on GPUs. In this work, two parallel adaptive cubature algorithms were implemented on a hybrid architecture (CPU–GPU) to accelerate the DuQMoGeM. The speedup and scalability of these parallel algorithms were studied with different types of Genz's test functions. Then, we applied these parallel numerical integration algorithms in the DuQMoGeM solution of the PBE for three bivariate cases, obtaining speedups between 11 and 15.
Citation Information
Fabio P. Santos, Inanc Senocak, Jovani L. Favero and Paulo L. C. Lage. "Solution of the Population Balance Equation Using Parallel Adaptive Cubature on GPUs" Computers & Chemical Engineering (2013)
Available at: http://works.bepress.com/inanc_senocak/18/