A MULTI-OBJECTIVE PERSPECTIVE FOR OPERATOR SCHEDULING USING FINE-GRAINED DVS ARCHITECTURES
The stringent power budget of fine grained power managed digital integrated circuits has driven chip designers to optimize power at the cost of area and delay, which were the traditional cost criteria for circuit optimization. The emerging scenario motivates the authors to revisit the classical oper...
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Published in | International journal of VLSI design & communication systems Vol. 4; no. 1; p. 105 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
01.02.2013
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Subjects | |
Online Access | Get full text |
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Abstract | The stringent power budget of fine grained power managed digital integrated circuits has driven chip designers to optimize power at the cost of area and delay, which were the traditional cost criteria for circuit optimization. The emerging scenario motivates the authors to revisit the classical operator scheduling problem under the availability of DVFS enabled functional units that can trade-off cycles with power. They study the design space defined due to this trade-off and present a branch-and-bound algorithm to explore this state space and report the pareto-optimal front with respect to area and power. The scheduling also aims at maximum resource sharing and is able to attain sufficient area and power gains for complex benchmarks, when timing constraints are relaxed by sufficient amount. Experimental results show that the algorithm that operates without any user constraint (area/power) is able to solve the problem for most available benchmarks, and the use of power budget or area budget constraints leads to significant performance gain. |
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AbstractList | The stringent power budget of fine grained power managed digital integrated circuits has driven chip designers to optimize power at the cost of area and delay, which were the traditional cost criteria for circuit optimization. The emerging scenario motivates the authors to revisit the classical operator scheduling problem under the availability of DVFS enabled functional units that can trade-off cycles with power. They study the design space defined due to this trade-off and present a branch-and-bound algorithm to explore this state space and report the pareto-optimal front with respect to area and power. The scheduling also aims at maximum resource sharing and is able to attain sufficient area and power gains for complex benchmarks, when timing constraints are relaxed by sufficient amount. Experimental results show that the algorithm that operates without any user constraint (area/power) is able to solve the problem for most available benchmarks, and the use of power budget or area budget constraints leads to significant performance gain. |
Author | Mukherjee, Rajdeep Ghosh, Priyankar Dasgupta, Pallab Pal, Ajit |
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SubjectTerms | Algorithms Benchmarks Budgeting Design engineering Integrated circuits Operators Scheduling Tradeoffs |
Title | A MULTI-OBJECTIVE PERSPECTIVE FOR OPERATOR SCHEDULING USING FINE-GRAINED DVS ARCHITECTURES |
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