DocumentCode
679638
Title
Analysis of a Simple Approach to Modeling Performance for Streaming Data Applications
Author
Beard, Jonathan C. ; Chamberlain, Roger D.
Author_Institution
Dept. of Comput. Sci. & Eng., Washington Univ. in St. Louis, St. Louis, MO, USA
fYear
2013
fDate
14-16 Aug. 2013
Firstpage
345
Lastpage
349
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
performance evaluation; queueing theory; heterogeneous hardware; performance modeling; streaming data applications; Computational modeling; Hardware; Kernel; Mathematical model; Predictive models; Program processors; Throughput; analytical models; computer performance;
fLanguage
English
Publisher
ieee
Conference_Titel
Modeling, Analysis & Simulation of Computer and Telecommunication Systems (MASCOTS), 2013 IEEE 21st International Symposium on
Conference_Location
San Francisco, CA
ISSN
1526-7539
Type
conf
DOI
10.1109/MASCOTS.2013.49
Filename
6730784
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