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CONCURRENCY
1998
81views more  CONCURRENCY 1998»
13 years 4 months ago
Parallel sparse matrix vector multiply software for matrices with data locality
Ray S. Tuminaro, John Shadid, Scott Hutchinson
ASAP
2006
IEEE
121views Hardware» more  ASAP 2006»
13 years 8 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
FPGA
2005
ACM
195views FPGA» more  FPGA 2005»
13 years 10 months ago
Sparse Matrix-Vector multiplication on FPGAs
Floating-point Sparse Matrix-Vector Multiplication (SpMXV) is a key computational kernel in scientific and engineering applications. The poor data locality of sparse matrices sig...
Ling Zhuo, Viktor K. Prasanna
AAECC
2007
Springer
111views Algorithms» more  AAECC 2007»
13 years 4 months ago
When cache blocking of sparse matrix vector multiply works and why
Abstract. We present new performance models and a new, more compact data structure for cache blocking when applied to the sparse matrixvector multiply (SpM×V) operation, y ← y +...
Rajesh Nishtala, Richard W. Vuduc, James Demmel, K...
FPGA
2005
ACM
121views FPGA» more  FPGA 2005»
13 years 10 months ago
Floating-point sparse matrix-vector multiply for FPGAs
Large, high density FPGAs with high local distributed memory bandwidth surpass the peak floating-point performance of high-end, general-purpose processors. Microprocessors do not...
Michael DeLorimier, André DeHon