Program auto-tuning through population-based stochastic optimization
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2017
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| Online Access: | http://hdl.handle.net/1721.1/106451 |
| _version_ | 1826208183294623744 |
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| author | Zhan, Minshu |
| author2 | Kalyan Veeramachaneni and Una-May O'Reilly. |
| author_facet | Kalyan Veeramachaneni and Una-May O'Reilly. Zhan, Minshu |
| author_sort | Zhan, Minshu |
| collection | MIT |
| description | Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016. |
| first_indexed | 2024-09-23T14:01:49Z |
| format | Thesis |
| id | mit-1721.1/106451 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T14:01:49Z |
| publishDate | 2017 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/1064512019-04-11T08:48:04Z Program auto-tuning through population-based stochastic optimization Zhan, Minshu Kalyan Veeramachaneni and Una-May O'Reilly. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. 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. 2017-01-12T18:34:02Z 2017-01-12T18:34:02Z 2016 2016 Thesis http://hdl.handle.net/1721.1/106451 967704030 eng 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 42 pages application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Zhan, Minshu Program auto-tuning through population-based stochastic optimization |
| title | Program auto-tuning through population-based stochastic optimization |
| title_full | Program auto-tuning through population-based stochastic optimization |
| title_fullStr | Program auto-tuning through population-based stochastic optimization |
| title_full_unstemmed | Program auto-tuning through population-based stochastic optimization |
| title_short | Program auto-tuning through population-based stochastic optimization |
| title_sort | program auto tuning through population based stochastic optimization |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/106451 |
| work_keys_str_mv | AT zhanminshu programautotuningthroughpopulationbasedstochasticoptimization |