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Genetic Algorithm-Based Allocation and Scheduling for Voltage and Frequency Scalable XMOS Chips

  • Zorana Banković
  • Pedro López-García
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8073)

Abstract

In this work we present a novel approach, based on genetic algorithms, for automatic scheduling and allocation of tasks in a multi-processor multi-threaded architecture, together with an assignment of the appropriate voltage and frequency of each processor in a way the overall energy consumption is optimized and all task deadlines are met. The approach deals with scheduling, allocation and voltage and frequency assignment at the same time, and provides good solutions in a very short time. As far as we know, this is the first approach that supports two levels of parallelism: multi-processor and multi-thread.

Keywords

Genetic Algorithm Power Consumption Hybrid Genetic Algorithm Time Overhead Dynamic Voltage 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Zorana Banković
    • 1
  • Pedro López-García
    • 1
    • 2
  1. 1.IMDEA Software InstituteMadridSpain
  2. 2.Spanish Council for Scientific Research (CSIC)Spain

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