期刊
BIOINFORMATICS
卷 26, 期 3, 页码 426-428出版社
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btp662
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- Swedish Graduate School in Mathematics and Computing
Motivation: Gillespie's stochastic simulation algorithm (SSA) is often the most tractable method to study stochastic models of biochemical systems. The algorithm itself is very simple and a natural target for implementation on specialized architectures such as the Cell Broadband Engine (Cell/BE). We have developed CellMC, a multiplatform SBML model compiler implementing a vectorized version of SSA for use on Cell/BE or x 86 PCs.
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