Managing parallelism and resources in scientific dataflow programs

Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1989.

Bibliographic Details
Main Author: Culler, David E
Other Authors: Arvind.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2005
Subjects:
Online Access:http://hdl.handle.net/1721.1/14511
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author Culler, David E
author2 Arvind.
author_facet Arvind.
Culler, David E
author_sort Culler, David E
collection MIT
description Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1989.
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spelling mit-1721.1/145112019-04-10T18:15:09Z Managing parallelism and resources in scientific dataflow programs Culler, David E Arvind. 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 (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1989. Vita. Includes bibliographical references (leaves 227-233). by David E. Culler. Ph.D. 2005-08-09T17:57:19Z 2005-08-09T17:57:19Z 1989 1989 Thesis http://hdl.handle.net/1721.1/14511 20770381 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 234 leaves 17992139 bytes 17991898 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology
spellingShingle Electrical Engineering and Computer Science.
Culler, David E
Managing parallelism and resources in scientific dataflow programs
title Managing parallelism and resources in scientific dataflow programs
title_full Managing parallelism and resources in scientific dataflow programs
title_fullStr Managing parallelism and resources in scientific dataflow programs
title_full_unstemmed Managing parallelism and resources in scientific dataflow programs
title_short Managing parallelism and resources in scientific dataflow programs
title_sort managing parallelism and resources in scientific dataflow programs
topic Electrical Engineering and Computer Science.
url http://hdl.handle.net/1721.1/14511
work_keys_str_mv AT cullerdavide managingparallelismandresourcesinscientificdataflowprograms