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- Aupy, G., et al.
(författare)
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Energy-aware algorithms for task graph scheduling, replica placement and checkpoint strategies
- 2015
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Ingår i: Handbook on Data Centers. - New York, NY : Springer New York. - 9781493920921 ; , s. 37-80
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Bokkapitel (övrigt vetenskapligt/konstnärligt)abstract
- The energy consumption of computational platforms has recently become a critical problem, both for economic and environmental reasons. To reduce energy consumption, processors can run at different speeds. Faster speeds allow for a faster execution, but they also lead to a much higher (superlinear) power consumption. Energy-aware scheduling aims at minimizing the energy consumed during the execution of the target application, both for computations and for communications. The price to pay for a lower energy consumption usually is a much larger execution time, so the energy-aware approach makes better sense when coupled with some prescribed performance bound. In other words, we have a bi-criteria optimization problem, with one objective being energy minimization, and the other being performance-related.
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