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PPAM
2007
Springer
13 years 11 months ago
New Data Structures for Matrices and Specialized Inner Kernels: Low Overhead for High Performance
Dense linear algebra codes are often expressed and coded in terms of BLAS calls. This approach, however, achieves suboptimal performance due to the overheads associated to such cal...
José R. Herrero
PDP
2010
IEEE
14 years 11 days ago
Experimental Study of Six Different Implementations of Parallel Matrix Multiplication on Heterogeneous Computational Clusters of
—Two strategies of distribution of computations can be used to implement parallel solvers for dense linear algebra problems for Heterogeneous Computational Clusters of Multicore ...
Pedro Alonso, Ravi Reddy, Alexey L. Lastovetsky
CLUSTER
2011
IEEE
12 years 5 months ago
Achieving Scalable Parallelization for the Hessenberg Factorization
—Much of dense linear algebra has been successfully blocked to concentrate the majority of its time in the Level 3 BLAS, which are not only efficient for serial computation, but...
Anthony M. Castaldo, R. Clint Whaley
PPAM
2007
Springer
13 years 11 months ago
The Relevance of New Data Structure Approaches for Dense Linear Algebra in the New Multi-Core / Many Core Environments
For about ten years now, Bo K˚agstr¨om’s Group in Umea, Sweden, Jerzy Wa´sniewski’s Team at Danish Technical University in Lyngby, Denmark, and I at IBM Research in Yorktown...
Fred G. Gustavson
IPPS
1997
IEEE
13 years 9 months ago
The Sparse Cyclic Distribution against its Dense Counterparts
Several methods have been proposed in the literature for the distribution of data on distributed memory machines, either oriented to dense or sparse structures. Many of the real a...
Gerardo Bandera, Manuel Ujaldon, María A. T...