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Trends in high-performance computing for engineering calculations.

M B Giles1, I Reguly2

  • 1Mathematical Institute, University of Oxford, Oxford, UK mike.giles@maths.ox.ac.uk.

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Summary
This summary is machine-generated.

High-performance computing (HPC) hardware is increasingly complex, impacting developer ability to harness its full potential. Future HPC progress hinges on improving energy efficiency and data movement costs.

Keywords:
GPUacceleratorenergy efficiencyhigh-performance computingmanycoremulticore

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Area of Science:

  • Computer Science
  • Computational Science
  • Hardware Engineering

Background:

  • High-performance computing (HPC) has advanced significantly over two decades.
  • Recent progress in HPC is driven by complex multicore and manycore processors.
  • This hardware complexity challenges developers in utilizing system capabilities fully.

Purpose of the Study:

  • To outline key hardware developments in HPC, past and future.
  • To focus on energy efficiency and data movement costs as critical issues.
  • To discuss the implications for application developers.

Main Methods:

  • Review of recent and near-future hardware trends in HPC.
  • Analysis of energy efficiency in HPC systems.
  • Examination of data movement costs in HPC architectures.
  • Assessment of system software evolution.
  • Evaluation of impacts on application developers.

Main Results:

  • HPC hardware evolution is marked by increasing complexity (multicore/manycore).
  • Energy efficiency and data movement costs are primary challenges.
  • System software evolution lags behind hardware advancements.
  • Application developers face difficulties in achieving optimal performance.

Conclusions:

  • Future HPC progress depends on addressing hardware complexity.
  • Optimizing energy efficiency and data transfer is crucial for HPC.
  • Bridging the gap between hardware and software is essential for developers.