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Tackling Complexity in High Performance Computing Applications.

J Darlington1, A J Field1, L Hakim1

  • 1Department of Computing, Imperial College London, London, UK.

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Summary
This summary is machine-generated.

This software framework enables user-defined configurations for High-Performance Computing (HPC) applications, managing complex dependencies and ensuring valid parameter choices for optimal performance and maintenance.

Keywords:
Application development frameworksConstraint solvingFunctional workflowsHigh performance computing

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Area of Science:

  • High-Performance Computing (HPC)
  • Software Engineering
  • Computational Science

Background:

  • Specifying user-definable configuration options in HPC applications is challenging.
  • Complex cross-domain dependencies (constraints) are crucial for application correctness but often absent or difficult to manage within the code.

Purpose of the Study:

  • To present a software framework for managing user-definable configuration options in HPC applications.
  • To enable independent specification of options like model parameters, numerical algorithms, and target platforms.
  • To incorporate complex constraints preventing invalid option combinations.

Main Methods:

  • Utilizes a combination of functional workflows and constraint solvers.
  • Builds application workflows from functional components (co-ordination forms and data processing components).
  • Employs a Prolog-based constraint solver to guide users in making valid choices.

Main Results:

  • The framework supports user-definable configuration options independently of application code.
  • It effectively manages complex constraints, preventing invalid parameter combinations.
  • Demonstrated applicability in data-intensive video transcoding and numerically intensive Navier-Stokes solvers.

Conclusions:

  • The presented framework offers a systematic approach to handling application configuration and maintenance.
  • It enhances the usability and correctness of HPC applications by managing dependencies.
  • Facilitates systematic handling of application use and maintenance through partial design storage and sharing.