Analysis of a simple approach to modeling performance for streaming data applications

Jonathan C. Beard; Roger D. Chamberlain

doi:10.1109/MASCOTS.2013.49

Analysis of a simple approach to modeling performance for streaming data applications

Jonathan C. Beard
, Roger D. Chamberlain

Department of Computer Science & Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

15 Scopus citations

Abstract

Current state of the art systems contain various types of multicore processors, General Purpose Graphics Processing Units (GPGPUs) and occasionally Digital Signal Processors (DSPs) or Field-Programmable Gate Arrays (FPGAs). With heterogeneity comes multiple abstraction layers that hide underlying complexity. While necessary to ease programmability of these systems, this hidden complexity makes quantitative performance modeling a difficult task. This paper outlines a computationally simple approach to modeling the overall throughput and buffering needs of a streaming application deployed on heterogeneous hardware.

Original language	English
Title of host publication	Proceedings - 2013 IEEE 21st International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication, MASCOTS 2013
Pages	345-349
Number of pages	5
DOIs	https://doi.org/10.1109/MASCOTS.2013.49
State	Published - 2013
Event	2013 IEEE 21st International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication, MASCOTS 2013 - San Francisco, CA, United States Duration: Aug 14 2013 → Aug 16 2013

Publication series

Name	Proceedings - IEEE Computer Society's Annual International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems, MASCOTS
ISSN (Print)	1526-7539

Conference

Conference	2013 IEEE 21st International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication, MASCOTS 2013
Country/Territory	United States
City	San Francisco, CA
Period	08/14/13 → 08/16/13

Keywords

Analytical models
Computer performance

Access to Document

10.1109/MASCOTS.2013.49

Cite this

Beard, J. C., & Chamberlain, R. D. (2013). Analysis of a simple approach to modeling performance for streaming data applications. In Proceedings - 2013 IEEE 21st International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication, MASCOTS 2013 (pp. 345-349). Article 6730784 (Proceedings - IEEE Computer Society's Annual International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems, MASCOTS). https://doi.org/10.1109/MASCOTS.2013.49

Beard, Jonathan C. ; Chamberlain, Roger D. / Analysis of a simple approach to modeling performance for streaming data applications. Proceedings - 2013 IEEE 21st International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication, MASCOTS 2013. 2013. pp. 345-349 (Proceedings - IEEE Computer Society's Annual International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems, MASCOTS).

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title = "Analysis of a simple approach to modeling performance for streaming data applications",

abstract = "Current state of the art systems contain various types of multicore processors, General Purpose Graphics Processing Units (GPGPUs) and occasionally Digital Signal Processors (DSPs) or Field-Programmable Gate Arrays (FPGAs). With heterogeneity comes multiple abstraction layers that hide underlying complexity. While necessary to ease programmability of these systems, this hidden complexity makes quantitative performance modeling a difficult task. This paper outlines a computationally simple approach to modeling the overall throughput and buffering needs of a streaming application deployed on heterogeneous hardware.",

keywords = "Analytical models, Computer performance",

author = "Beard, \{Jonathan C.\} and Chamberlain, \{Roger D.\}",

year = "2013",

doi = "10.1109/MASCOTS.2013.49",

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series = "Proceedings - IEEE Computer Society's Annual International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems, MASCOTS",

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booktitle = "Proceedings - 2013 IEEE 21st International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication, MASCOTS 2013",

note = "2013 IEEE 21st International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication, MASCOTS 2013 ; Conference date: 14-08-2013 Through 16-08-2013",

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Beard, JC & Chamberlain, RD 2013, Analysis of a simple approach to modeling performance for streaming data applications. in Proceedings - 2013 IEEE 21st International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication, MASCOTS 2013., 6730784, Proceedings - IEEE Computer Society's Annual International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems, MASCOTS, pp. 345-349, 2013 IEEE 21st International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication, MASCOTS 2013, San Francisco, CA, United States, 08/14/13. https://doi.org/10.1109/MASCOTS.2013.49

Analysis of a simple approach to modeling performance for streaming data applications. / Beard, Jonathan C.; Chamberlain, Roger D.
Proceedings - 2013 IEEE 21st International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication, MASCOTS 2013. 2013. p. 345-349 6730784 (Proceedings - IEEE Computer Society's Annual International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems, MASCOTS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - Current state of the art systems contain various types of multicore processors, General Purpose Graphics Processing Units (GPGPUs) and occasionally Digital Signal Processors (DSPs) or Field-Programmable Gate Arrays (FPGAs). With heterogeneity comes multiple abstraction layers that hide underlying complexity. While necessary to ease programmability of these systems, this hidden complexity makes quantitative performance modeling a difficult task. This paper outlines a computationally simple approach to modeling the overall throughput and buffering needs of a streaming application deployed on heterogeneous hardware.

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KW - Computer performance

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Beard JC, Chamberlain RD. Analysis of a simple approach to modeling performance for streaming data applications. In Proceedings - 2013 IEEE 21st International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication, MASCOTS 2013. 2013. p. 345-349. 6730784. (Proceedings - IEEE Computer Society's Annual International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems, MASCOTS). doi: 10.1109/MASCOTS.2013.49

Analysis of a simple approach to modeling performance for streaming data applications

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