A method for the automatic selection and tuning of the parameters of a sparse SLE solver

DOI10.3103/S0278641909020071zbMath1176.65037MaRDI QIDQ736196

V. Yu. Voronov

Publication date: 27 October 2009

Published in: Moscow University Computational Mathematics and Cybernetics (Search for Journal in Brave)

zbMATH Keywords

algorithmiterative methodPETScsupport vector machineautomatic tuning of application performancesolution of the sparse systems of linear algebraic equations

Mathematics Subject Classification ID

Computational methods for sparse matrices (65F50) Iterative numerical methods for linear systems (65F10) Parallel numerical computation (65Y05) Complexity and performance of numerical algorithms (65Y20) Numerical algorithms for specific classes of architectures (65Y10)

Uses Software

• ATLAS
• PETSc
• SparseMatrix
• OSKI

Cites Work

• Support-vector networks
• A new data mining approach to predicting matrix condition numbers
• The university of Florida sparse matrix collection
• Automated empirical optimizations of software and the ATLAS project
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