Modeling dwarfs for workload characterization
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Publication Details
Author list: Manakul K., Siripongwutikorn P., See S., Achalakul T.
Publication year: 2012
Start page: 776
End page: 781
Number of pages: 6
ISBN: 9780769549033
ISSN: 1521-9097
eISSN: 1521-9097
Languages: English-Great Britain (EN-GB)
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Abstract
Workload characterization is an important concept in performance tuning and efficiency improvement of high performance computing systems. Not only does it allow a system to dynamically adjust resources, it also helps improve energy efficiency resulting in lower cost for computation. Nevertheless, lack of quantitative methods to describe workload characteristics prevents the system to work at its full potential. In this work, we proposed two discrete-time Markov chains, which can describe workload characteristics of a set of computational kernels, called Berkeley's "dwarfs". These discrete-time models were derived from the relationship between stalling in processor pipeline and resource usage behaviors of the workload. The models can quantitatively describe behaviors of each dwarf. Moreover, the model enables the concept of combining each dwarf to extend performance analysis over any arbitrary processes. ฉ 2012 IEEE.
Keywords
Berkeley's dwarfs, Discrete-time Markov Chain, MICA, Workload characterization
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