Fast Parallel Forward Method of BLT Combining Preconditioned BiCGStab and CUDA - 文章详情页

作者：

Feng, J. (Feng, J..) | Li, Y. (Li, Y..) | Li, Z. (Li, Z..) | Jia, K. (Jia, K..)

收录：

Scopus PKU CSCD

摘要：

A　fast　parallel　algorithm　based　on　Bi-conjugate　gradient　stabilized(BiCGStab)　was　proposed　to　solve　the　simplified　spherical　harmonics(SPN)　equations　to　reducethe　computational　burden　and　improve　computational　efficiency　for　forward　problem　of　bioluminescence　tomography(BLT).　In　the　algorithm,　preconditioned　method　of　incomplete-Cholesky　factorization　and　sparse　matrix＇s　compressed　row　storage　scheme　(CSR)　representing　method　were　adopted.　Furthermore,　compute　unified　device　architecture(CUDA)　parallel　programming　model　was　used　to　implement　parallel　accelerating.　The　results　of　numerical　simulation　show　that　the　proposed　algorithm　not　only　can　ensure　the　solution　accuracy　of　the　forward　problem　but　also　greatly　shorten　the　equation-solving　time.　©　2017,　Editorial　Department　of　Journal　of　Beijing　University　of　Technology.　All　right　reserved.

关键词：

Bioluminescence tomography; Compute unified device architecture (CUDA); Preconditioned bi-conjugate gradient stabilized method; Simplified spherical harmonics equations

作者机构：

[ 1 ] [Feng, J.]Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
[ 2 ] [Li, Y.]Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
[ 3 ] [Li, Z.]Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
[ 4 ] [Jia, K.]Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China

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