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• W2096641229 abstract "Reducing energy consumption has become an important issue in designing hardware and software systems in recent years. Although low power hardware components are critical for reducing energy consumption, the switching activity, which is the main source of dynamic power dissipation in electronic systems, is largely determined by the software running on these systems. In this paper we present and evaluate several instruction scheduling algorithms that reorder a given sequence of instructions taking into account the energy considerations. We first compare a performance-oriented scheduling technique with three energy-oriented instruction scheduling algorithms from both performance (execution cycles of the resulting schedules) and energy consumption points of view. Then, we propose three scheduling algorithms that consider energy and performance at the same time. The results obtained show that these techniques are quite successful in reducing energy consumption and their performance is comparable to that of a pure performance-oriented scheduling." @default.
• W2096641229 created "2016-06-24" @default.
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• W2096641229 date "2002-11-07" @default.
• W2096641229 modified "2023-09-27" @default.
• W2096641229 title "Instruction scheduling based on energy and performance constraints" @default.
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• W2096641229 doi "https://doi.org/10.1109/iwv.2000.844527" @default.
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