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A Comparative Study of Different Strategies using adaptive Differential Evolution for Best Scheduling in Architectural Level Synthesis


Affiliations
1 Department of Electrical Engineering Science, BMSCE, Visvesvaraya Technological University, Bangalore - 560019, Karnataka, India
2 Manuro Tech Research Pvt. Ltd, Bangalore - 560097, Karnataka, India
 

This paper is a comparative study for optimal scheduling in architectural level synthesis using five different strategies in Differential Evolution. In this paper the comparison is performed using Hardware Abstraction Layer (HAL) benchmark scheduling problem using Integer Linear Programming method. The paper implements adaptive scaling factor for mutation operation and variable cross over operation in differential evolution. The experiment results evaluate the performance parameters optimal resource schedule, convergence time among the five strategies are presented.

Keywords

Architectural Level Synthesis, Differential Evolution, Evolutionary Computation, Hardware Abstraction Layer, Integer Linear Programming, Very Large Scale Integration.
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  • A Comparative Study of Different Strategies using adaptive Differential Evolution for Best Scheduling in Architectural Level Synthesis

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Authors

K. C. Shilpa
Department of Electrical Engineering Science, BMSCE, Visvesvaraya Technological University, Bangalore - 560019, Karnataka, India
C. Lakshmi Narayana
Department of Electrical Engineering Science, BMSCE, Visvesvaraya Technological University, Bangalore - 560019, Karnataka, India
Manoj Kumar Singh
Manuro Tech Research Pvt. Ltd, Bangalore - 560097, Karnataka, India

Abstract


This paper is a comparative study for optimal scheduling in architectural level synthesis using five different strategies in Differential Evolution. In this paper the comparison is performed using Hardware Abstraction Layer (HAL) benchmark scheduling problem using Integer Linear Programming method. The paper implements adaptive scaling factor for mutation operation and variable cross over operation in differential evolution. The experiment results evaluate the performance parameters optimal resource schedule, convergence time among the five strategies are presented.

Keywords


Architectural Level Synthesis, Differential Evolution, Evolutionary Computation, Hardware Abstraction Layer, Integer Linear Programming, Very Large Scale Integration.



DOI: https://doi.org/10.17485/ijst%2F2016%2Fv9i40%2F125521