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CORR
2010
Springer
153views Education» more  CORR 2010»
14 years 11 months ago
Towards an Efficient Tile Matrix Inversion of Symmetric Positive Definite Matrices on Multicore Architectures
The algorithms in the current sequential numerical linear algebra libraries (e.g. LAPACK) do not parallelize well on multicore architectures. A new family of algorithms, the tile a...
Emmanuel Agullo, Henricus Bouwmeester, Jack Dongar...
81
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EUROPAR
2009
Springer
15 years 5 months ago
High Performance Matrix Multiplication on Many Cores
Moore’s Law suggests that the number of processing cores on a single chip increases exponentially. The future performance increases will be mainly extracted from thread-level par...
Nan Yuan, Yongbin Zhou, Guangming Tan, Junchao Zha...
ICPP
2009
IEEE
15 years 5 months ago
Complexity Analysis and Performance Evaluation of Matrix Product on Multicore Architectures
The multicore revolution is underway, bringing new chips introducing more complex memory architectures. Classical algorithms must be revisited in order to take the hierarchical me...
Mathias Jacquelin, Loris Marchal, Yves Robert
ECOOPW
1998
Springer
15 years 3 months ago
The Matrix Template Library: A Unifying Framework for Numerical Linear Algebra
Abstract. We present a uni ed approach for expressing high performance numerical linear algebra routines for a class of dense and sparse matrix formats and shapes. As with the Stan...
Jeremy G. Siek, Andrew Lumsdaine
IPPS
2009
IEEE
15 years 5 months ago
Early experiences on accelerating Dijkstra's algorithm using transactional memory
In this paper we use Dijkstra’s algorithm as a challenging, hard to parallelize paradigm to test the efficacy of several parallelization techniques in a multicore architecture....
Nikos Anastopoulos, Konstantinos Nikas, Georgios I...