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» Sparse matrix factorization on massively parallel computers
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75
Voted
ISHPC
1997
Springer
15 years 1 months ago
Implementing Iterative Solvers for Irregular Sparse Matrix Problems in High Performance Fortran
Abstract. Writing e cient iterative solvers for irregular, sparse matrices in HPF is hard. The locality in the computations is unclear, and for e ciency we use storage schemes that...
Eric de Sturler, Damian Loher
PDP
2010
IEEE
15 years 4 months 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
ISCOPE
1999
Springer
15 years 1 months ago
Generic Graph Algorithms for Sparse Matrix Ordering
Fill-reducing sparse matrix orderings have been a topic of active research for many years. Although most such algorithms are developed and analyzed within a graph-theoretical frame...
Lie-Quan Lee, Jeremy G. Siek, Andrew Lumsdaine
PARLE
1994
15 years 1 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. ...
100
Voted
ICPP
2009
IEEE
15 years 4 months ago
Perfomance Models for Blocked Sparse Matrix-Vector Multiplication Kernels
—Sparse Matrix-Vector multiplication (SpMV) is a very challenging computational kernel, since its performance depends greatly on both the input matrix and the underlying architec...
Vasileios Karakasis, Georgios I. Goumas, Nectarios...