2026-09-18T20:15:17Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1064512026-06-06T00:55:28Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Kalyan Veeramachaneni and Una-May O'Reilly.
Zhan, Minshu
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2017-01-12T18:34:02Z
2017-01-12T18:34:02Z
2016
2016
http://hdl.handle.net/1721.1/106451
967704030
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).
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.
by Minshu Zhan.
M.Eng.
42 pages
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
Program auto-tuning through population-based stochastic optimization
Thesis
application/pdf
Publication
unknown
unknown
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