Program auto-tuning through population-based stochastic optimization
Name
967704030-MIT.pdf
Description
Full printable version
Size
2.89 MB
Format
Adobe PDF
Checksum (MD5)
e0a18078d53e96706e160f62b15f8cd9
Author(s)
Zhan, Minshu
Advisor(s)
Kalyan Veeramachaneni and Una-May O'Reilly.
Date Issued
2016
Publisher
Massachusetts Institute of Technology
Abstract
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).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
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