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
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;
Conference_Titel :
Modeling, Analysis & Simulation of Computer and Telecommunication Systems (MASCOTS), 2013 IEEE 21st International Symposium on
Conference_Location :
San Francisco, CA
DOI :
10.1109/MASCOTS.2013.49
