Computation with Energy-Time Trade-Offs: Models, Algorithms and Lower-Bounds
ISPA '08 Proceedings of the 2008 IEEE International Symposium on Parallel and Distributed Processing with Applications
Roofline: an insightful visual performance model for multicore architectures
Communications of the ACM - A Direct Path to Dependable Software
Balance principles for algorithm-architecture co-design
HotPar'11 Proceedings of the 3rd USENIX conference on Hot topic in parallelism
Enhanced Race-To-Halt: A Leakage-Aware Energy Management Approach for Dynamic Priority Systems
ECRTS '11 Proceedings of the 2011 23rd Euromicro Conference on Real-Time Systems
GPUs and the Future of Parallel Computing
IEEE Micro
Looking back and looking forward: power, performance, and upheaval
Communications of the ACM
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Do we need to design algorithms differently if our goal is to save energy, rather than time or space? This article presents a simple and speculative thought experiment that suggests when and why the answer could be "yes."