Software Energy Reduction Techniques for Variable-Voltage Processors
IEEE Design & Test
Proceedings of the 2002 IEEE/ACM international conference on Computer-aided design
An environment for imprecise computations
An environment for imprecise computations
Maximizing rewards for real-time applications with energy constraints
ACM Transactions on Embedded Computing Systems (TECS)
A hybrid DVS scheduling approach for hard real-time systems
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
An efficient low-power buffer insertion with time and area constraints
ICC'10 Proceedings of the 14th WSEAS international conference on Circuits
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Low-energy-transmission of data on submicron interconnects
WSEAS TRANSACTIONS on COMMUNICATIONS
Combined heuristics for synthesis of SOCs with time and power constraints
Computers and Electrical Engineering
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There exist real-time systems for which it is possible to trade off precision for timeliness. In these cases, a function assigns reward to the application depending on the amount of computation allotted to it. At the same time, many such applications run on battery-powered devices with stringent energy constraints. This paper addresses the problem of maximizing rewards subject to time and energy constraints. We propose a quasi-static approach where the problem is solved in two steps: first, at design-time, a number of solutions are computed and stored (off-line phase); second, one of the precomputed solutions is selected at run-time based on actual values of time and energy (on-line phase). Thus our approach is able to exploit, with low on-line overhead, the dynamic slack caused by tasks executing less number of cycles than in the worst case. We conduct numerous experiments in order to show the advantages of our approach.