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Algorithm 784: GEMM-based level 3 BLAS: Portability and Optimization Issues
Umeå University, Faculty of Science and Technology, Department of Computing Science. Umeå University, Faculty of Science and Technology, HPC2N (High Performance Computing Centre North).
Umeå University, Faculty of Science and Technology, Department of Computing Science. Umeå University, Faculty of Science and Technology, HPC2N (High Performance Computing Centre North).
Cornell University, NY, USA.
1998 (English)In: ACM Transactions on Mathematical Software, Vol. 24, no 3, 303-316 p.Article in journal (Refereed) Published
Abstract [en]

This companion article discusses portability and optimization issues of the GEMM-based level 3 BLAS model implementations and the performance evaluation benchmark. All software comes in all four data types (single- and double-precision, real and complex) and are designed to be easy to implement and use on different platforms. Each of the GEMM-based routines has a few machine-dependent parameters that specify internal block. sizes, cache characteristics, and branch points for alternative code sections. These parameters provide means for adjustment to the characteristics of a memory hierarchy.

Place, publisher, year, edition, pages
1998. Vol. 24, no 3, 303-316 p.
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URN: urn:nbn:se:umu:diva-21955ISBN: 0098-3500 OAI: oai:DiVA.org:umu-21955DiVA: diva2:212213
Available from: 2009-04-21 Created: 2009-04-21 Last updated: 2009-07-09

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