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Annotation-Based Empirical Performance Tuning Using Orio Albert Hartono1 , Boyana Norris2 , and P. Sadayappan1 1 Ohio State University, Dept. of Computer Science and Engineering, Columbus, OH 43210
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Document Date: 2008-11-19 11:29:27

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File Size: 500,56 KB

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Annotation / Columbus / /

Company

IBM / Argonne National Laboratory / Mead / Related Work Ideally / Intel / /

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Facility

Ohio State University / Matrix Template Library / /

IndustryTerm

brute-force search strategy / matrix-matrix products / scientific applications / automatic performance-tuning tool / processor technology / real scientific applications / annotation processing infrastructure / compiler-based source transformation tools / automatic parallelization tool / software developers / numerical algorithms / search space / search algorithm / scientific computing / automated tuning systems / search heuristics / source transformation tools / /

OperatingSystem

Linux / L3 / /

Organization

Ohio State University / /

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Position

driver / POET / Private / /

ProgrammingLanguage

Fortran / C / Python / C++ / /

ProvinceOrState

Ohio / Illinois / /

Technology

key numerical algorithms / search algorithm / Linux / processor technology / Search Engine / operating system / /

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