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» Minimizing communication in sparse matrix solvers
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SC
2009
ACM
13 years 11 months ago
Minimizing communication in sparse matrix solvers
Marghoob Mohiyuddin, Mark Hoemmen, James Demmel, K...
PARLE
1994
13 years 8 months ago
Run-Time Optimization of Sparse Matrix-Vector Multiplication on SIMD Machines
Sparse matrix-vector multiplication forms the heart of iterative linear solvers used widely in scientific computations (e.g., finite element methods). In such solvers, the matrix-v...
Louis H. Ziantz, Can C. Özturan, Boleslaw K. ...
ISCIS
2003
Springer
13 years 10 months ago
Minimizing Communication Cost in Fine-Grain Partitioning of Sparse Matrices
Abstract. We show a two-phase approach for minimizing various communication-cost metrics in fine-grain partitioning of sparse matrices for parallel processing. In the first phase...
Bora Uçar, Cevdet Aykanat
FCCM
2007
IEEE
165views VLSI» more  FCCM 2007»
13 years 6 months ago
Sparse Matrix-Vector Multiplication Design on FPGAs
Creating a high throughput sparse matrix vector multiplication (SpMxV) implementation depends on a balanced system design. In this paper, we introduce the innovative SpMxV Solver ...
Junqing Sun, Gregory D. Peterson, Olaf O. Storaasl...
HPCN
1997
Springer
13 years 8 months ago
Parallel Solution of Irregular, Sparse Matrix Problems Using High Performance Fortran
For regular, sparse, linear systems, like those derived from regular grids, using High Performance Fortran (HPF) for iterative solvers is straightforward. However, for irregular ma...
Eric de Sturler, Damian Loher