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Iterative schedule optimization for voltage scalable distributed embedded systems
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Source ACM Transactions on Embedded Computing Systems (TECS) archive
Volume 3 ,  Issue 1  (February 2004) table of contents
Pages: 182 - 217  
Year of Publication: 2004
ISSN:1539-9087
Authors
Marcus T. Schmitz  University of Southampton, Southampton, UK
Bashir M. Al-Hashimi  University of Southampton, Southampton, UK
Petru Eles  Linköping University, Linköping, Sweden
Publisher
ACM  New York, NY, USA
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ABSTRACT

We present an iterative schedule optimization for multirate system specifications, mapped onto heterogeneous distributed architectures containing dynamic voltage scalable processing elements (DVS-PEs). To achieve a high degree of energy reduction, we formulate a generalized DVS problem, taking into account the power variations among the executing tasks. An efficient heuristic is presented that identifies optimized supply voltages by not only "simply" exploiting slack time, but under the additional consideration of the power profiles. Thereby, this algorithm minimizes the energy dissipation of heterogeneous architectures, including power-managed processing elements, effectively. Further, we address the simultaneous schedule optimization toward timing behavior and DVS utilization by integrating the proposed DVS heuristic into a genetic list scheduling approach. We investigate and analyze the possible energy reduction at both steps of the co-synthesis (voltage scaling and scheduling), including the power variations effects. Extensive experiments indicate that the presented work produces solutions with high quality.


REFERENCES

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Collaborative Colleagues:
Marcus T. Schmitz: colleagues
Bashir M. Al-Hashimi: colleagues
Petru Eles: colleagues

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