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Scalable parallel sparse factorization with left-right looking strategy on shared memory multiprocessors

https://doi.org/10.1007/bfb0100583
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Efficient Hybrid Solution of Sparse Linear Systems
inferredcites →https://doi.org/10.1007/bf02141261openalex-snapshot
BiCGstab(l) and other hybrid Bi-CG methods
inferredcites →https://doi.org/10.1016/0167-8191(94)00092-oopenalex-snapshot
Parallel sparse QR factorization on shared memory architectures
inferredcites →https://doi.org/10.1016/0377-0427(89)90368-3openalex-snapshot
Multiprocessing a sparse matrix code on the Alliant FX/8
inferredcites →https://doi.org/10.1023/a:1022326604210openalex-snapshot
Efficient Sparse LU Factorization with Left-Right Looking Strategy on Shared Memory Multiprocessors
inferredcites →https://doi.org/10.1137/0611010openalex-snapshot
The Role of Elimination Trees in Sparse Factorization
inferredcites →https://doi.org/10.1137/0914048openalex-snapshot
A Supernodal Cholesky Factorization Algorithm for Shared-Memory Multiprocessors
inferredcites →https://doi.org/10.1137/1.9780898718003openalex-snapshot
Iterative Methods for Sparse Linear Systems
inferredcites →https://doi.org/10.1177/109434208700100403openalex-snapshot
Progress in Sparse Matrix Methods for Large Linear Systems On Vector Supercomputers
inferredcites →https://doi.org/10.3929/ethz-a-001459656openalex-snapshot
Efficient solution of large sparse linear systems

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Efficient Sparse LU Factorization with Left-Right Looking Strategy on Shared Memory Multiprocessors
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