Torus data flow for parallel computation of missized matrix problems

DOI10.1016/0024-3795(86)90166-7zbMath0587.65021OpenAlexW2040239275WikidataQ126573875 ScholiaQ126573875MaRDI QIDQ1072339

George A. Geist, Robert E. Funderlic

Publication date: 1986

Published in: Linear Algebra and its Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0024-3795(86)90166-7

zbMATH Keywords

parallel computationCholesky decompositiondense symmetric systemsmissized problemstorus data flow

Mathematics Subject Classification ID

Direct numerical methods for linear systems and matrix inversion (65F05)

Related Items (1)

Assignment and scheduling in parallel matrix factorization

Cites Work

• Parallel Cholesky factorization on a shared-memory multiprocessor
• Implementing Linear Algebra Algorithms for Dense Matrices on a Vector Pipeline Machine
• Data-flow algorithms for parallel matrix computation

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