Search results for: GPU CLUSTER

• Paweł Czarnul dr hab. inż.

  People

  Dział Usług Chmurowych, Faculty of Electronics, Telecommunications and Informatics, Department of Computer Architecture

  Paweł Czarnul obtained a D.Sc. degree in computer science in 2015, a Ph.D. in computer science granted by a council at the Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology in 2003. His research interests include:parallel and distributed processing including clusters, accelerators, coprocessors; distributed information systems; architectures of distributed systems; programming mobile devices....

• A multithreaded CUDA and OpenMP based power‐aware programming framework for multi‐node GPU systems

  Publication

  • P. Czarnul

  - CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE - Year 2023

  In the paper, we have proposed a framework that allows programming a parallel application for a multi-node system, with one or more GPUs per node, using an OpenMP+extended CUDA API. OpenMP is used for launching threads responsible for management of particular GPUs and extended CUDA calls allow to manage CUDA objects, data and launch kernels. The framework hides inter-node MPI communication from the programmer who can benefit from...

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