Journal of Physics Conference Series · 2009 · 424 citations · 8 references
ComputingComputer ScienceHigh-performance ComputingComputer ArchitectureParallel AlgorithmsParallel ComputingGraphics Processing Unit ArchitectureGraphics Processing UnitsNumerical Linear AlgebraParallel ArchitecturesParallel Computer ArchitectureParallel Numerical Linear AlgebraComputational Linear AlgebraGpu ArchitectureGpu Parallel AlgorithmsHigh PerformanceMulti-core ComputingMulticore ArchitecturesScalable ArchitecturesScientific Computing On Gpus
The emergence and continuing use of multi-core architectures and graphics processing units require changes in the existing software and sometimes even a redesign of the established algorithms in order to take advantage of now prevailing parallelism. Parallel Linear Algebra for Scalable Multi-core Architectures (PLASMA) and Matrix Algebra on GPU and Multics Architectures (MAGMA) are two projects that aims to achieve high performance and portability across a wide range of multi-core architectures and hybrid systems respectively. We present in this document a comparative study of PLASMA's performance against established linear algebra packages and some preliminary results of MAGMA on hybrid multi-core and GPU systems.
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The Landscape of Parallel Computing Research: A View from Berkeley
Krste Asanović, Ras Bodik, Bryan Catanzaro et al. · 2006 · 2K citations
Engineering, Computer Science, High-performance Computing +17
Graph Theory: An Algorithmic Approach
E. Kay · Journal of the Operational Research Society · 1976 · 911 citations
Graph Theory: An Algorithmic Approach
E. Kay, N. Christofides · Operational Research Quarterly (1970-1977) · 1976 · 767 citations