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Patterns and statistical analysis for understanding reduced resource computing

Author(s)
Rinard, Martin C.; Hoffmann, Henry Christian; Misailovic, Sasa; Sidiroglou, Stylianos
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Abstract
We present several general, broadly applicable mechanisms that enable computations to execute with reduced resources, typically at the cost of some loss in the accuracy of the result they produce.We identify several general computational patterns that interact well with these resource reduction mechanisms, present a concrete manifestation of these patterns in the form of simple model programs, perform simulationbased explorations of the quantitative consequences of applying these mechanisms to our model programs, and relate the model computations (and their interaction with the resource reduction mechanisms) to more complex benchmark applications drawn from a variety of fields.
Date issued
2010-10
URI
http://hdl.handle.net/1721.1/63086
Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory; Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Journal
Proceedings of the ACM international conference on Object oriented programming systems languages and applications
Publisher
Association for Computing Machinery
Citation
Rinard, Martin et al. “Patterns and Statistical Analysis for Understanding Reduced Resource Computing.” Proceedings of the ACM International Conference on Object Oriented Programming Systems Languages and Applications. Reno/Tahoe, Nevada, USA: ACM, 2010. 806-821.
Version: Author's final manuscript
ISBN
978-1-4503-0203-6

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