An efficient data path synthesis algorithm for behavioral-level power optimization

This paper presents a new data path synthesis algorithm which solves two important design problems: scheduling and allocation with power minimization as a key design objective. Based on the observations found in prior work on synthesis for low power we derive an integer programming formulation for s...

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Hauptverfasser: Chaeryung Park, Taewhan Park, Liu, C.L.
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Taewhan Park
Liu, C.L.
description This paper presents a new data path synthesis algorithm which solves two important design problems: scheduling and allocation with power minimization as a key design objective. Based on the observations found in prior work on synthesis for low power we derive an integer programming formulation for solving the problem. We then develop a stepwise approximation algorithm utilizing the formulation to carry out the scheduling and allocation in an integrated fashion. Our experimentation results show that the algorithm is quite effective, producing designs with significant savings in power consumption.
doi_str_mv 10.1109/ISCAS.1999.777861
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Based on the observations found in prior work on synthesis for low power we derive an integer programming formulation for solving the problem. We then develop a stepwise approximation algorithm utilizing the formulation to carry out the scheduling and allocation in an integrated fashion. Our experimentation results show that the algorithm is quite effective, producing designs with significant savings in power consumption.</abstract><pub>IEEE</pub><doi>10.1109/ISCAS.1999.777861</doi></addata></record>
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subjects Algorithm design and analysis
Circuits
Clocks
Computer science
Energy consumption
Flow graphs
Linear programming
Processor scheduling
Scheduling algorithm
Turning
title An efficient data path synthesis algorithm for behavioral-level power optimization
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