ACM Transactions on Mathematical Software · 1990 · 1.8K citations · 23 references
ComputingComputer ScienceHigh-performance ComputingAlgorithmsParallel AlgorithmsProgramming LanguagesComputational AlgebraData ParallelismInstruction Set ArchitectureLinear AlgebraMatrix ComputationNumerical Linear AlgebraComputational Linear AlgebraComputational Matrix TheoryHigh PerformanceMatrix MultiplicationParallel Matrix ComputationSparse Linear Algebra
This paper describes an extension to the set of Basic Linear Algebra Subprograms. The extensions are targeted at matrix-vector operations that should provide for efficient and portable implementations of algorithms for high-performance computers
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Stéphane Crépey, Olivier Guéant, David Hobson et al. · HAL (Le Centre pour la Communication Scientifique Directe) · 2011 · 10.2K citations
Basic Linear Algebra Subprograms for Fortran Usage
C. L. Lawson, Richard Hanson, David R. Kincaid et al. · ACM Transactions on Mathematical Software · 1979 · 1.6K citations · Full text