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Mathematics / LU decomposition / Matrix / Parallel computing / Sparse matrix / QR decomposition / Portable /  Extensible Toolkit for Scientific Computation / LAPACK / Triangular matrix / Algebra / Linear algebra / Numerical linear algebra


Structure-Adaptive Parallel Solution of Sparse Triangular Linear Systems Ehsan Totoni, Michael T. Heath, and Laxmikant V. Kale Department of Computer Science, University of Illinois at Urbana-Champaign E-mail: {totoni2,
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Document Date: 2014-04-23 10:43:38


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Berlin / /

Company

SIAM Journal / Amdahl / M. Knepley L. C. / /

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pence / /

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Facility

University of Florida / University of Illinois / University of Florida Sparse Matrix Collection / /

IndustryTerm

parallel triangular solution / ultraparallel computing / faster algorithms / sparse triangular linear systems / parallel algorithms / sparse triangular systems / triangular solution / sparse systems / triangular solver algorithm / sparse linear systems / unsymmetric linear systems / approximate solution / successive substitution algorithm / sequential algorithm / parallel solution / parallel processing / parallel algorithm / iterative solution / parallel sparse triangular solution / linear systems / row processing / triangular systems / physical processors / incomplete factorization algorithm / /

Organization

University of Illinois / Department of Computer Science / University of Florida Sparse Matrix Collection / /

Person

Michael T. Heath / Ehsan Totoni / /

ProgrammingLanguage

C / C++ / /

ProvinceOrState

Florida / /

PublishedMedium

Lecture Notes in Computer Science / /

Technology

three processors / sequential algorithm / end Algorithm / triangular solver algorithm / successive substitution algorithm / incomplete factorization algorithm / http / parallelism Algorithm / GSM / shared memory / parallel processing / /

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http /

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