Abstract <p>Due to the significant pace of development of hybrid supercomputers, universities face the task of training specialists to work with high-performance technologies. In 2016, a hybrid computing cluster was put into operation at Voronezh State University, the architecture of which provides extensive opportunities for teaching students parallel programming skills using OpenMP, MPI and CUDA technologies. The hardware and software features of the cluster are considered and strategies are proposed for the most complete implementation of available resources for training highly qualified personnel.</p>

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Using the Hybrid Computing Cluster of Voronezh State University to Train Students in High-Performance Computing Skills

  • A. G. Potapov,
  • A. V. Romanov,
  • K. O. Petrishchev

摘要

Abstract

Due to the significant pace of development of hybrid supercomputers, universities face the task of training specialists to work with high-performance technologies. In 2016, a hybrid computing cluster was put into operation at Voronezh State University, the architecture of which provides extensive opportunities for teaching students parallel programming skills using OpenMP, MPI and CUDA technologies. The hardware and software features of the cluster are considered and strategies are proposed for the most complete implementation of available resources for training highly qualified personnel.