NDLI: Performance modeling for runtime kernel adaptation: A case study on infectious disease simulation

Content Provider	IEEE Xplore Digital Library
Author	Jiangming Jin Turner, S.J. Bu-Sung Lee Shyh-hao Kuo Goh, R.S.M. Hung, T.
Copyright Year	2010
Description	Author affiliation: School of Computer Engineering, Nanyang Technological University, Singapore 639798 (Jiangming Jin; Turner, S.J.; Bu-Sung Lee) \|\| Institute of High Performance Computing, Agency for Science, Technology and Research, 1 Fusionopolis Way #16-16 Connexis, Singapore 138632 (Shyh-hao Kuo; Goh, R.S.M.; Hung, T.)
Abstract	In many large-scale scientific applications, there may be a compute intensive kernel that largely determines the overall performance of the application. Sometimes algorithmic variations of the kernel may be available and a performance benefit can then be gained by choosing the optimal kernel at runtime. However, it is sometimes difficult to choose the most efficient kernel as the kernel algorithms have varying performance under different execution conditions. This paper shows how to construct a set of performance models to explore and analyze the bottleneck of an application. Furthermore, based on the performance models, a theoretical method is proposed to guide the kernel adaptation at runtime. A component-based large-scale infectious disease simulation is used to illustrate the method. The performance models of the different kernels are validated by a range of experiments. The use of runtime kernel adaptation shows a significant performance gain.
Starting Page	349
Ending Page	358
File Size	348156
Page Count	10
File Format	PDF
ISBN	9781424493470
e-ISBN	9781424493494
DOI	10.1109/GRID.2010.5698009
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-25
Publisher Place	Belgium
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Kernel Adaptation model Diseases Computational modeling Runtime Mathematical model Object oriented modeling Infectious disease simulation Runtime kernel adaptation Performance modeling Component-based software engineering
Content Type	Text
Resource Type	Article

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