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» Avoiding communication in sparse matrix computations
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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. ...
PDP
2010
IEEE
14 years 6 days ago
On the Scalability of Hypergraph Models for Sparse Matrix Partitioning
Abstract—We investigate the scalability of the hypergraphbased sparse matrix partitioning methods with respect to the increasing sizes of matrices and number of nonzeros. We prop...
Bora Ucar, Ümit V. Çatalyürek
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
SIAMSC
2010
210views more  SIAMSC 2010»
13 years 2 days 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...
HPCN
1997
Springer
13 years 9 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