Threaded Operations on Sparse Matrices
Thesis/Dissertation
·
OSTI ID:1214249
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
We investigate the use of sparse matrices and OpenMP multi-threading on linear algebra operations involving them. Several sparse matrix data structures are presented. Implementation of the multi- threading primarily occurs in the level one and two BLAS functions used within the four algorithms investigated{the Power Method, Conjugate Gradient, Biconjugate Gradient, and Jacobi's Method. The bene ts of launching threads once per high level algorithm are explored.
- Research Organization:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA)
- DOE Contract Number:
- AC04-94AL85000
- OSTI ID:
- 1214249
- Report Number(s):
- SAND2015-7461T; 603424
- Country of Publication:
- United States
- Language:
- English
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