Program auto-tuning through population-based stochastic optimization
Author(s)
Zhan, Minshu![Thumbnail](/bitstream/handle/1721.1/106451/967704030-MIT.pdf.jpg?sequence=3&isAllowed=y)
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Other Contributors
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Advisor
Kalyan Veeramachaneni and Una-May O'Reilly.
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Show full item recordAbstract
Program optimization often can and need to be decoupled from the programs innate logic. In various domains, program autotuners have been developed which can automatically search for optimal program configurations using established optimization methods. OpenTuner is a general-purpose autotuner which provides a flexible search domain representation and robust optimization techniques. This thesis extends Open-Tuner with the family of population-based stochastic optimization (PBSO) algorithms to boost OpenTuner's search capability on discrete-valued tuning problems.
Description
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016. Cataloged from PDF version of thesis. Includes bibliographical references (pages 41-42).
Date issued
2016Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer SciencePublisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.