Published June 1, 2020 | Version v1
Conference paper Open

Portable exploitation of parallel and heterogeneous HPC architectures in neural simulation using SkePU

  • 1. National Technical University of Athens, Greece
  • 2. Linköping University, Sweden


The complexity of modern HPC systems requires the use of new tools that support advanced programming models and offer portability and programmability of parallel and heterogeneous architectures. In this work we evaluate the use of SkePU framework in an HPC application from the neural computing domain. We demonstrate the successful deployment of the application based on SkePU using multiple back-ends (OpenMP, OpenCL and MPI) and present lessons-learned towards future extensions of the SkePU framework.



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EXA2PRO – Enhancing Programmability and boosting Performance Portability for Exascale Computing Systems 801015
European Commission