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CATA
2010
13 years 6 months ago
Utilizing Recursive Storage in Sparse Matrix-Vector Multiplication - Preliminary Considerations
Computations with sparse matrices on "multicore cache based" computers are affected by the irregularity of the problem at hand, and performance degrades easily. In this ...
Michele Martone, Salvatore Filippone, Salvatore Tu...
ASAP
2006
IEEE
121views Hardware» more  ASAP 2006»
13 years 9 months ago
Reconfigurable Fixed Point Dense and Sparse Matrix-Vector Multiply/Add Unit
In this paper, we propose a reconfigurable hardware accelerator for fixed-point-matrix-vector-multiply/add operations, capable to work on dense and sparse matrices formats. The pr...
Humberto Calderon, Stamatis Vassiliadis
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. ...
ICPP
2009
IEEE
13 years 12 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...
ERSA
2010
199views Hardware» more  ERSA 2010»
13 years 3 months ago
Reconfigurable Sparse Matrix-Vector Multiplication on FPGAs
Cache-based, general purpose CPUs perform at a small fraction of their maximum floating point performance when executing memory-intensive simulations, such as those required for sp...
Russell Tessier, Salma Mirza, J. Blair Perot