2006
DOI: 10.1145/1132357.1132358
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Reducing dynamic and leakage energy in VLIW architectures

Abstract: The mobile computing device market has been growing rapidly. This brings the technologies that optimize system energy to the forefront. As circuits continue to scale in the future, it would be important to optimize both leakage and dynamic energy. Effective optimization of leakage and dynamic energy consumption requires a vertical integration of techniques spanning from circuit to software levels. Schedule slacks in codes executing in VLIW architectures present an opportunity for such an integration. In this p… Show more

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Cited by 6 publications
(2 citation statements)
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References 32 publications
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“…In contrast to the works cited, FlexTools addresses application efficiency, while at the same time being capable of leveraging energy benefits offered by ASICs. Zhang et al [18] independently combine the techniques similar to the ones in [16] with traditional circuit-based techniques, like power gating, to achieve energy efficiency. FlexTools provides an integrated toolchain that helps achieve optimal results at design time.…”
Section: Related Workmentioning
confidence: 99%
“…In contrast to the works cited, FlexTools addresses application efficiency, while at the same time being capable of leveraging energy benefits offered by ASICs. Zhang et al [18] independently combine the techniques similar to the ones in [16] with traditional circuit-based techniques, like power gating, to achieve energy efficiency. FlexTools provides an integrated toolchain that helps achieve optimal results at design time.…”
Section: Related Workmentioning
confidence: 99%
“…In this paper, we use the energy model in [8] to calculate the leakage energy and total energy. Energy-efficient system-level scheduling techniques with considerations of leakage power dissipation have been explored in [12][13][14][15][16][17][18][19][20][21]. Luo and Jha [15] addressed the problem of variable-voltage scheduling of multirate periodic task graphs in heterogeneous distributed real-time embedded systems.…”
Section: Introductionmentioning
confidence: 99%