Defining scalable high performance programming with DEF
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2020
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2020
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| Online Access: | https://hdl.handle.net/1721.1/128317 |
| _version_ | 1826206987222777856 |
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| author | Leiserson, William Mitchell. |
| author2 | Nir Shavit. |
| author_facet | Nir Shavit. Leiserson, William Mitchell. |
| author_sort | Leiserson, William Mitchell. |
| collection | MIT |
| description | Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2020 |
| first_indexed | 2024-09-23T13:41:44Z |
| format | Thesis |
| id | mit-1721.1/128317 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T13:41:44Z |
| publishDate | 2020 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/1283172020-11-04T03:15:18Z Defining scalable high performance programming with DEF Leiserson, William Mitchell. Nir Shavit. 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: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2020 Cataloged from PDF of thesis. Includes bibliographical references (pages 149-156). Performance engineering is performed in languages that are close to the machine, especially C and C++, but these languages have little native support for concurrency. We're deep into the multicore era of computer hardware, however, meaning that scalability is dependent upon concurrent data structures. Contrast this with modern systems languages, like Go, that provide support for concurrency but incur invisible, sometimes unavoidable, overheads on basic operations. Many applications, particularly in scientific computing, require something in between. In this thesis, I present DEF, a language that's close to the machine for the sake of performance engineering, but which also has features that provide support for concurrency. These features are designed with costs that don't impede code that doesn't use them, and preserve the flexibility enjoyed by C programmers in organizing memory layout and operations. DEF occupies the excluded middle between the two categories of languages and is suitable for high performance, scalable applications. by William Mitchell Leiserson. Ph. D. Ph.D. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science 2020-11-03T20:30:16Z 2020-11-03T20:30:16Z 2020 2020 Thesis https://hdl.handle.net/1721.1/128317 1201306991 eng MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided. http://dspace.mit.edu/handle/1721.1/7582 156 pages application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Leiserson, William Mitchell. Defining scalable high performance programming with DEF |
| title | Defining scalable high performance programming with DEF |
| title_full | Defining scalable high performance programming with DEF |
| title_fullStr | Defining scalable high performance programming with DEF |
| title_full_unstemmed | Defining scalable high performance programming with DEF |
| title_short | Defining scalable high performance programming with DEF |
| title_sort | defining scalable high performance programming with def |
| topic | Electrical Engineering and Computer Science. |
| url | https://hdl.handle.net/1721.1/128317 |
| work_keys_str_mv | AT leisersonwilliammitchell definingscalablehighperformanceprogrammingwithdef |