Vassilis Vassiliadis
Abstract
We introduce a task-based programming model and runtime system that exploit the observation that not all parts of a program are equally significant for the accuracy of the end-result, in order to trade off the quality of program outputs for increased energy-efficiency. This is done in a structured and flexible way, allowing for easy exploitation of different points in the quality/energy space, without adversely affecting application performance. The runtime system can apply a number of different policies to decide whether it will execute less-significant tasks accurately or approximately. The experimental evaluation indicates that our system can achieve an energy reduction of up to 83% compared with a fully accurate execution and up to 35% compared with an approximate version employing loop perforation. At the same time, our approach always results in graceful quality degradation.
- S. Sidiroglou-Douskos, S. Misailovic, H. Hoffmann, and M. Rinard. Managing performance vs. accuracy trade-offs with loop perforation. In Proceedings of the 19th ACM SIGSOFT Symposium and the 13th European Conference on Foundations of Software Engineering, ESEC/FSE ’11, pages 124–134, New York, NY, USA, 2011. ACM. Google Scholar
Digital Library
- V. Vassiliadis, K. Parasyris, C. Chalios, C. D. Antonopoulos, S. Lalis, N. Bellas, H. Vandierendonck, and D. S. Nikolopoulos. A programming model and runtime system for significance-aware energy-efficient computing. Technical Report 2014-1, Department of Electrical and Computer Engineering, University of Thessaly, Greece, December 2014.Google Scholar
Index Terms
- A programming model and runtime system for significance-aware energy-efficient computing
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