A Novel Method for Optimising Energy Efficiency in High-Performance Computing Systems


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Authors

  • Aarah Sardesai Researcher, USA
  • Saif Al Dulaimi Researcher, USA
  • Merve Gokgol HS of Endeavor, Austin, USA

DOI:

https://doi.org/10.31039/plic.2024.11.248

Keywords:

DVFS (Dynamic Voltage and Frequency Scaling), Server Virtualizations, High-Performance Computing (HPC) systems, Energy Efficiency

Abstract

This paper introduces a new method to promote energy efficiency in computing systems. The rapidly growing demand for computational power in high-performance computing (HPC) systems is accompanied by a significant increase in energy consumption. This research investigates the many ways to minimise energy consumption in HPC systems without sacrificing computational performance. Building upon previous research we combined and refined ideas to develop an optimised approach. Our method utilises a tri-modular framework incorporating an Energy-Efficient Hardware Design, Resource Management, and Optimisation, and Server Virtualisation. The first module employs a method of designing smart energy-efficient hardware. This method incorporates leakage reduction techniques such as clock gating and sleep states. The second module uses a technique focused on optimising server software. This method is based on Dynamic Voltage and frequency scaling (DVFS) for power management in data centres. The third module is based on server virtualisation and employs software to create multiple virtual machines on a single physical server allowing for a significant reduction in energy and hardware costs. The methods used in these three modules are systematically integrated to produce a more efficient consumption of electricity. This will allow for the computing system to minimise energy consumption without compromising computational power.

References

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Published

2024-09-09

How to Cite

Sardesai, A., Al Dulaimi, S., & Gokgol, M. (2024). A Novel Method for Optimising Energy Efficiency in High-Performance Computing Systems. Proceedings of London International Conferences, (11), 27–33. https://doi.org/10.31039/plic.2024.11.248