Performance and Numerical Accuracy Evaluation of Heterogeneous Multicore Systems for Krylov Orthogonal Basis Computation

DOI10.1007/978-3-642-19328-6_7zbMath1323.65145OpenAlexW1940881156MaRDI QIDQ3081341

C. Calvin, Jérôme Dubois, Serge G. Petiton

Publication date: 8 March 2011

Published in: Lecture Notes in Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-642-19328-6_7

zbMATH Keywords

performance analysisparallel and distributed computingnumerical algorithms for CS\&E

Mathematics Subject Classification ID

Parallel numerical computation (65Y05) Complexity and performance of numerical algorithms (65Y20) Orthogonalization in numerical linear algebra (65F25) Numerical algorithms for specific classes of architectures (65Y10)

Uses Software

• ATLAS
• BLAS
• CUDA
• FFTW
• CUBLAS
• Harwell-Boeing sparse matrix collection

Cites Work

• The influence of orthogonality on the Arnoldi method
• Rounding error analysis of the classical Gram-Schmidt orthogonalization process
• Sparse matrix test problems
• Comments on "Method of flow graph simplification for the 16-point discrete Fourier Transform"
• An updated set of basic linear algebra subprograms (BLAS)
• Automated empirical optimizations of software and the ATLAS project

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