HalideTuner : generating and tuning halide schedules with Opentuner
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2015.
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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/1721.1/106444 |
| _version_ | 1826188635170406400 |
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| author | Zingales, Giuseppe Paolo Ernesto Toffanin |
| author2 | Saman Amarasinghe. |
| author_facet | Saman Amarasinghe. Zingales, Giuseppe Paolo Ernesto Toffanin |
| author_sort | Zingales, Giuseppe Paolo Ernesto Toffanin |
| collection | MIT |
| description | Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2015. |
| first_indexed | 2024-09-23T08:02:42Z |
| format | Thesis |
| id | mit-1721.1/106444 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T08:02:42Z |
| publishDate | 2017 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/1064442019-04-09T16:17:47Z HalideTuner : generating and tuning halide schedules with Opentuner Halide Tuner : generating and tuning halide schedules with Opentuner Generating and tuning halide schedules with Opentuner Zingales, Giuseppe Paolo Ernesto Toffanin Saman Amarasinghe. 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, 2015. Cataloged from PDF version of thesis. Includes bibliographical references (page 77). Halide is a programming language designed to make it easier to write high-performance image processing code. Halide separates the scientific problem of how to write the image processing algorithm to get the required result from the engineering problem of how to schedule the different parts of this algorithm to get a fast solution. This allows Halide's users to test out different schedules for a single image processing algorithm to get the fastest program. Unfortunately, the amount of possible schedules is staggeringly large, and there is no deterministic way to find the fastest schedules. This leads to a lot of man-hours spent trying to find good Halide schedules. As Halide grows in popularity and the platforms on which it runs diversify, the need for Halide schedules will increase. As the need for good Halide schedules increases, so will the need for good schedule designers. However, given the elusiveness of highly performant schedules, machine generated schedules will become highly preferred to human trial and error. HalideTuner solves this problem by automating the entire process. The automation of the the schedule generation and tuning is done by a machine learning framework called Opentuner. Before Opentuner can operate, defining how to iterate through the search space needs to be codified. In this paper we present HalideTuner a codification of how Opentuner can manipulate Halide schedules to improve them in the process of clever trial and error. HalideTuner serves as the foundation for generating and tuning Halide schedules. by Giuseppe Paolo Ernesto Toffanin Zingales. M. Eng. 2017-01-12T18:33:45Z 2017-01-12T18:33:45Z 2015 2015 Thesis http://hdl.handle.net/1721.1/106444 967346582 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 77 pages application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Zingales, Giuseppe Paolo Ernesto Toffanin HalideTuner : generating and tuning halide schedules with Opentuner |
| title | HalideTuner : generating and tuning halide schedules with Opentuner |
| title_full | HalideTuner : generating and tuning halide schedules with Opentuner |
| title_fullStr | HalideTuner : generating and tuning halide schedules with Opentuner |
| title_full_unstemmed | HalideTuner : generating and tuning halide schedules with Opentuner |
| title_short | HalideTuner : generating and tuning halide schedules with Opentuner |
| title_sort | halidetuner generating and tuning halide schedules with opentuner |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/106444 |
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