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» Anatomy of high-performance matrix multiplication
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TC
2008
13 years 7 months ago
High-Performance Designs for Linear Algebra Operations on Reconfigurable Hardware
Numerical linear algebra operations are key primitives in scientific computing. Performance optimizations of such operations have been extensively investigated. With the rapid adva...
Ling Zhuo, Viktor K. Prasanna
IPPS
1998
IEEE
13 years 11 months ago
High Performance Linear Algebra Package LAPACK90
Abstract. LAPACK90 is a set of LAPACK90 subroutines which interfaces FORTRAN90 with LAPACK. All LAPACK driver subroutines including expert drivers and some LAPACK computationals ha...
Jack Dongarra, Jerzy Wasniewski
CATA
2010
13 years 9 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...
ICASSP
2011
IEEE
12 years 11 months ago
Multiple kernel nonnegative matrix factorization
Kernel nonnegative matrix factorization (KNMF) is a recent kernel extension of NMF, where matrix factorization is carried out in a reproducing kernel Hilbert space (RKHS) with a f...
Shounan An, Jeong-Min Yun, Seungjin Choi
ARC
2010
Springer
387views Hardware» more  ARC 2010»
14 years 2 months ago
Optimising Memory Bandwidth Use for Matrix-Vector Multiplication in Iterative Methods
Computing the solution to a system of linear equations is a fundamental problem in scientific computing, and its acceleration has drawn wide interest in the FPGA community [1–3]...
David Boland, George A. Constantinides