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ICPP
2009
IEEE
14 years 2 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...
IPPS
2000
IEEE
13 years 12 months ago
Scalable Parallel Matrix Multiplication on Distributed Memory Parallel Computers
Consider any known sequential algorithm for matrix multiplication over an arbitrary ring with time complexity ON , where 2  3. We show that such an algorithm can be parallelize...
Keqin Li
CORR
2010
Springer
127views Education» more  CORR 2010»
13 years 7 months ago
Exact Sparse Matrix-Vector Multiplication on GPU's and Multicore Architectures
We propose different implementations of the sparse matrix
Brice Boyer, Jean-Guillaume Dumas, Pascal Giorgi
PDP
2006
IEEE
14 years 1 months ago
Comparing Commodity SMP System Software with a Matrix Multiplication Benchmark
Commodity symmetric multiprocessors (SMPs), though originally intended for transaction processing, because of their availability, are now used for numerical analysis applications ...
Georgios Tsilikas, Martin Fleury
ICPADS
2002
IEEE
14 years 12 days ago
Adaptive Matrix Multiplication in Heterogeneous Environments
In this paper, an adaptive matrix multiplication algorithm for dynamic heterogeneous environments is developed and evaluated. Unlike the state-of-the-art approaches, where load ba...
Bo Hong, Viktor K. Prasanna