Patterns and statistical analysis for understanding reduced resource computing
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Rinard_Patterns and.pdf
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Author(s)
Rinard, Martin C.
Hoffmann, Henry Christian
Misailovic, Sasa
Sidiroglou, Stylianos
Date Issued
October 2010
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
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.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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Creative Commons Attribution-Noncommercial-Share Alike 3.0
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DOI of Published Version
https://doi.org/10.1145/1869459.1869525
