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Algorithm Engineering for Scalable Parallel External Sorting

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The talk describes algorithm engineering (AE) as a methodology for algorithmic research where design, analysis, implementation and experimental evaluation of algorithms form a feedback cycle driving the development of efficient algorithms. Additional important components of the methodology include realistic models, algorithm libraries, and collections of realistic benchmark instances. We use one main example throughout this talk: sorting huge data sets using many multi-core processors and disks. The described system broke records for the GraySort and MinuteSort sorting benchmarks and helped with the record for the Joule Sort benchmark.

Published in:

Parallel & Distributed Processing Symposium (IPDPS), 2011 IEEE International

Date of Conference:

16-20 May 2011

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