2026-09-18T18:36:20Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1283172026-06-17T14:45:09Zcom_1721.1_7582com_1721.1_7581col_1721.1_131022
Nir Shavit.
Leiserson, William Mitchell.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2020-11-03T20:30:16Z
2020-11-03T20:30:16Z
2020
2020
https://hdl.handle.net/1721.1/128317
1201306991
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
156 pages
eng
Massachusetts Institute of Technology
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
Electrical Engineering and Computer Science.
Defining scalable high performance programming with DEF
Thesis
application/pdf
2020-11-03T20:30:15Z
Publication
Doctoral
EECS
unknown
unknown
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