Development of efficient computational kernels and linear algebra routines for out-of-order superscalar processors

Authors:
O. Bessonov;D. Fougère;B. Roux
Affiliations:
Institute for Problems in Mechanics of the Russian Academy of Sciences, Moscow, Russia;Laboratoire de Modélisation et Simulation Numérique en Mécanique (L3M), L3M-IMT, La Jetée, Technopôle de Château-Gombert, Marseille Cedex, France;Laboratoire de Modélisation et Simulation Numérique en Mécanique (L3M), L3M-IMT, La Jetée, Technopôle de Château-Gombert, Marseille Cedex, France
Venue:
Future Generation Computer Systems - Special issue: Parallel computing technologies
Year:
2005

Citing 3
Cited 0

Introduction to Parallel & Vector Solution of Linear Systems

Introduction to Parallel & Vector Solution of Linear Systems
LAPACK Working Note 58: ``The Design of Linear Algebra Libraries for High Performance Computers

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Performance of Various Computers Using Standard Linear Equations Software

Performance of Various Computers Using Standard Linear Equations Software

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Abstract

We present methods for developing high performance computational kernels and dense linear algebra routines. The microarchitecture of AMD processors is analyzed with the goal to achieve peak computational rates. Approaches for implementing matrix multiplication algorithms are suggested for hierarchical memory computers. Block versions of matrix multiplication and LU-decomposition algorithms are considered. The obtained performance results for AMD processors are discussed in comparison with other approaches.