Modeling the scalability of acrylic stream programs

Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.

Bibliographic Details
Main Author: Wong, Jeremy Ng, 1981-
Other Authors: Saman P. Amarasinghe.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2005
Subjects:
Online Access:http://hdl.handle.net/1721.1/18004
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author Wong, Jeremy Ng, 1981-
author2 Saman P. Amarasinghe.
author_facet Saman P. Amarasinghe.
Wong, Jeremy Ng, 1981-
author_sort Wong, Jeremy Ng, 1981-
collection MIT
description Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.
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spelling mit-1721.1/180042019-04-11T13:28:40Z Modeling the scalability of acrylic stream programs Characterizing the streaming application domain Wong, Jeremy Ng, 1981- Saman P. Amarasinghe. 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, 2004. Includes bibliographical references (p. 109-110). Despite the fact that the streaming application domain is becoming increasingly widespread, few studies have focused specifically on the performance characteristics of stream programs. We introduce two models by which the scalability of stream programs can be predicted to some degree of accuracy. This is accomplished by testing a series of stream benchmarks on our numerical representations of the two models. These numbers are then compared to actual speedups obtained by running the benchmarks through the Raw machine and a Magic network. Using the metrics, we show that stateless acyclic stream programs benefit considerably from data, parallelization. In particular, programs with low communication datarates experience up to a tenfold speedup increase when parallelized to a reasonable margin. Those with high communication data rates also experience approximately a twofold speedup. We find that the model that takes synchronization communication overhead into account, in addition to a cost proportional to the communication rate of the stream, provides the highest predictive accuracy. by Jeremy Ng Wong. M.Eng. 2005-06-02T19:35:23Z 2005-06-02T19:35:23Z 2004 2004 Thesis http://hdl.handle.net/1721.1/18004 57204290 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 110 p. 6072218 bytes 6085525 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology
spellingShingle Electrical Engineering and Computer Science.
Wong, Jeremy Ng, 1981-
Modeling the scalability of acrylic stream programs
title Modeling the scalability of acrylic stream programs
title_full Modeling the scalability of acrylic stream programs
title_fullStr Modeling the scalability of acrylic stream programs
title_full_unstemmed Modeling the scalability of acrylic stream programs
title_short Modeling the scalability of acrylic stream programs
title_sort modeling the scalability of acrylic stream programs
topic Electrical Engineering and Computer Science.
url http://hdl.handle.net/1721.1/18004
work_keys_str_mv AT wongjeremyng1981 modelingthescalabilityofacrylicstreamprograms
AT wongjeremyng1981 characterizingthestreamingapplicationdomain