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» Fast Sparse Matrix Multiplication
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ICCS
2009
Springer
14 years 1 months ago
Fast Conjugate Gradients with Multiple GPUs
The limiting factor for efficiency of sparse linear solvers is the memory bandwidth. In this work, we utilize GPU’s high memory bandwidth for implementation of a sparse iterative...
Ali Cevahir, Akira Nukada, Satoshi Matsuoka
CORR
2011
Springer
183views Education» more  CORR 2011»
13 years 1 months ago
Sparse Signal Recovery with Temporally Correlated Source Vectors Using Sparse Bayesian Learning
— We address the sparse signal recovery problem in the context of multiple measurement vectors (MMV) when elements in each nonzero row of the solution matrix are temporally corre...
Zhilin Zhang, Bhaskar D. Rao
SIAMSC
2010
210views more  SIAMSC 2010»
13 years 2 months ago
On Two-Dimensional Sparse Matrix Partitioning: Models, Methods, and a Recipe
We consider two-dimensional partitioning of general sparse matrices for parallel sparse matrix-vector multiply operation. We present three hypergraph-partitioning-based methods, ea...
Ümit V. Çatalyürek, Cevdet Aykana...
EUROPAR
1998
Springer
13 years 11 months ago
Parallel Sparse Matrix Computations Using the PINEAPL Library: A Performance Study
Abstract. The Numerical Algorithms Group Ltd is currently participating in the European HPCN Fourth Framework project on Parallel Industrial NumErical Applications and Portable Lib...
Arnold R. Krommer
IPPS
1999
IEEE
13 years 11 months ago
Parallel Matrix Multiplication on a Linear Array with a Reconfigurable Pipelined Bus System
The known fast sequential algorithms for multiplying two N N matrices (over an arbitrary ring) have time complexity ON , where 2 3. The current best value of is less than 2.3755....
Keqin Li, Victor Y. Pan