Sparse matrix algorithms on distributed memory multiprocessors
Progress was made in creating algorithms and software for large-scale sparse matrix computations on advanced distributed-memory parallel machines during the past year. This report is divided into: large-scale linear systems; highly parallel triangular solution; spectral nested dissection orderings; parallel multifrontal factorization; structure of orthogonal factors; and sparse bases for the range space and the null space.
- Research Organization:
- Pennsylvania State Univ., University Park, PA (United States). Dept. of Computer Science
- Sponsoring Organization:
- DOE; USDOE, Washington, DC (United States)
- DOE Contract Number:
- FG02-91ER25095
- OSTI ID:
- 6645453
- Report Number(s):
- DOE/ER/25095-2; ON: DE93009368
- Country of Publication:
- United States
- Language:
- English
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