A distributed backend for Halide
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
2016
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| Online Access: | http://hdl.handle.net/1721.1/100675 |
| _version_ | 1811086201341345792 |
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| author | Epstein, Aaron, M. Eng. (Aaron B.). Massachusetts Institute of Technology |
| author2 | Saman Amarasinghe. |
| author_facet | Saman Amarasinghe. Epstein, Aaron, M. Eng. (Aaron B.). Massachusetts Institute of Technology |
| author_sort | Epstein, Aaron, M. Eng. (Aaron B.). Massachusetts Institute of Technology |
| collection | MIT |
| description | Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2015. |
| first_indexed | 2024-09-23T13:22:24Z |
| format | Thesis |
| id | mit-1721.1/100675 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T13:22:24Z |
| publishDate | 2016 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/1006752019-04-10T12:42:36Z A distributed backend for Halide Epstein, Aaron, M. Eng. (Aaron B.). Massachusetts Institute of Technology 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 37). Halide is a tool that makes writing efficient code easier to design, maintain, and operate. However, Halide is currently limited to building programs that run on one machine, which bounds both the size of the input and the speed of computation. My work involves adding distributed computation as an option for running Halide programs. Enabling distributed computation would allow Halide to be run at a much larger scale and solve larger problems like weather simulation and 3D rendering. This project has dealt with how Halide can analyze what data programs will need to share and how they can efficiently share it. Using my work, a programmer can easily divide their input into several small chunks and start an instance of their program to solve each chunk with synchronization and data sharing handled through Halide. by Aaron Epstein. M. Eng. 2016-01-04T20:52:22Z 2016-01-04T20:52:22Z 2015 2015 Thesis http://hdl.handle.net/1721.1/100675 932128346 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 38 pages application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Epstein, Aaron, M. Eng. (Aaron B.). Massachusetts Institute of Technology A distributed backend for Halide |
| title | A distributed backend for Halide |
| title_full | A distributed backend for Halide |
| title_fullStr | A distributed backend for Halide |
| title_full_unstemmed | A distributed backend for Halide |
| title_short | A distributed backend for Halide |
| title_sort | distributed backend for halide |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/100675 |
| work_keys_str_mv | AT epsteinaaronmengaaronbmassachusettsinstituteoftechnology adistributedbackendforhalide AT epsteinaaronmengaaronbmassachusettsinstituteoftechnology distributedbackendforhalide |