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Performance output data and configurations of stencil compilers experiments run through PROVA!

Danilo Guerrera1, Antonio Maffia1, Helmar Burkhart1

  • 1University of Basel, Switzerland.

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This study benchmarks stencil compilers (PATUS, PLUTO) using PROVA! for reproducible scientific research. Performance experiments on various architectures demonstrate the effectiveness of PROVA! in capturing essential data for validating results.

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Area of Science:

  • Computer Science
  • Computational Science

Background:

  • Stencil computations are crucial in scientific simulations.
  • Reproducibility in computational science is a significant challenge.
  • Existing parallelization methods for stencil kernels can be complex to manage.

Purpose of the Study:

  • To evaluate the performance of stencil compilers (PATUS, PLUTO) for stencil kernels.
  • To demonstrate the utility of PROVA! for ensuring reproducible computational experiments.
  • To provide a framework for benchmarking stencil compiler performance.

Main Methods:

  • Implemented stencil kernels using naive OpenMP, PATUS, and PLUTO.
  • Conducted performance experiments across different hardware architectures.
  • Utilized PROVA!, a distributed workflow tool, to manage and record experiment parameters.

Main Results:

  • Collected detailed performance data for various stencil kernel implementations.
  • PROVA! automatically captured compiler versions, flags, and configurations.
  • Raw experimental results and contextual information are publicly available.

Conclusions:

  • PROVA! facilitates reproducible stencil compiler benchmarking.
  • The collected data supports the validation of performance results.
  • Standardized benchmarking is essential for advancing scientific software development.