Towards an Operating System Based Framework for Energy-Efficient Scheduling of Parallel Workloads

@inproceedings{Shankar2013TowardsAO,
  title={Towards an Operating System Based Framework for Energy-Efficient Scheduling of Parallel Workloads},
  author={Shwetha Manchanabele Shankar and Dan Tamir and Apan Qasem},
  year={2013}
}
Power is a dominant obstacle for significant cost performance improvements of VLSI technology. Excessive and unbalanced power consumption affects device reliability, requires expensive packaging, and causes irreversible damage to semiconductor devices. Hence, power monitoring and thermal hot-spot elimination is a major concern of the semiconductor industry. This research addresses multicore power monitoring, management, and control via poweraware task scheduling and load balancing; supporting… CONTINUE READING

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Power Aware Task Matching and Migration in Heterogeneous Processing Environments

  • 2014 International Conference on Computational Science and Computational Intelligence
  • 2014
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CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

Power Aware Work Stealing in Homogeneous Multi-Core Systems

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CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

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