Parallel signal-processing for everyone
Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2005
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| Online Access: | http://hdl.handle.net/1721.1/9097 |
| _version_ | 1811093014668378112 |
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| author | Vasconcellos, Brett W. (Brett William), 1977- |
| author2 | John V. Guttag. |
| author_facet | John V. Guttag. Vasconcellos, Brett W. (Brett William), 1977- |
| author_sort | Vasconcellos, Brett W. (Brett William), 1977- |
| collection | MIT |
| description | Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000. |
| first_indexed | 2024-09-23T15:38:12Z |
| format | Thesis |
| id | mit-1721.1/9097 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T15:38:12Z |
| publishDate | 2005 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/90972019-04-11T12:13:14Z Parallel signal-processing for everyone Vasconcellos, Brett W. (Brett William), 1977- John V. Guttag. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000. Includes bibliographical references (p. 65-67). We designed, implemented, and evaluated a signal-processing environment that runs on a general-purpose multiprocessor system, allowing easy prototyping of new algorithms and integration with applications. The environment allows the composition of modules implementing individual signal-processing algorithms into a functional application, automatically optimizing their performance. We decompose the problem into four independent components: signal processing, data management, scheduling, and control. This simplifies the programming interface and facilitates transparent parallel signal processing. For tested applications, our system both runs efficiently on single-processors systems and achieves near-linear speedups on symmetric-multiprocessor (SMP) systems. by Brett W. Vasconcellos. M.Eng. 2005-08-24T19:41:03Z 2005-08-24T19:41:03Z 2000 2000 Thesis http://hdl.handle.net/1721.1/9097 46988637 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 67 p. 4603663 bytes 4603418 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Vasconcellos, Brett W. (Brett William), 1977- Parallel signal-processing for everyone |
| title | Parallel signal-processing for everyone |
| title_full | Parallel signal-processing for everyone |
| title_fullStr | Parallel signal-processing for everyone |
| title_full_unstemmed | Parallel signal-processing for everyone |
| title_short | Parallel signal-processing for everyone |
| title_sort | parallel signal processing for everyone |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/9097 |
| work_keys_str_mv | AT vasconcellosbrettwbrettwilliam1977 parallelsignalprocessingforeveryone |