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- W4242652638 abstract "We describe the design, implementation, and performance of a new parallel sparse Cholesky factorization code. The code uses a multifrontal factorization strategy. Operations on small dense submatrices are performed using new dense matrix subroutines that are part of the code, although the code can also use the blas and lapack. The new code is recursive at both the sparse and the dense levels, it uses a novel recursive data layout for dense submatrices, and it is parallelized using Cilk, an extension of C specifically designed to parallelize recursive codes. We demonstrate that the new code performs well and scales well on SMPs. In particular, on up to 16 processors, the code outperforms two state-of-the-art message-passing codes. The scalability and high performance that the code achieves imply that recursive schedules, blocked data layouts, and dynamic scheduling are effective in the implementation of sparse factorization codes." @default.
- W4242652638 created "2022-05-12" @default.
- W4242652638 creator A5059743043 @default.
- W4242652638 date "2003-10-03" @default.
- W4242652638 modified "2023-09-26" @default.
- W4242652638 title "Parallel and fully recursive multifrontal sparse Cholesky" @default.
- W4242652638 doi "https://doi.org/10.1016/s0167-739x(03)00184-5" @default.
- W4242652638 hasPublicationYear "2003" @default.
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