Development of a High Performance Code for Hydrodynamic Calculations Using Graphics Processor Units

Описание

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: International Scientific Conference on Parallel Computational Technologies (PCT); Kazan, RUSSIA; Kazan, RUSSIA

Год издания: 2017

Идентификатор DOI: 10.1007/978-3-319-67035-5_21

Ключевые слова: CFD, Control volume method, CUDA, Domain decomposition, GPGPU, Incompressible flow, MPI, Numerical simulation, SIMPLE

Аннотация: The paper presents the results of the implementation of computational algorithms of hydrodynamics for using graphics processor units. The implementation was carried out on the basis of the in-house CFD code SigmaFlow. Numerical simulations were based on the solution of the Navier-Stokes equations using SIMPLE-like procedure. The diПоказать полностьюscretization of the differential equations was based on the control volume method on unstructured mesh. In the case of multiple CPU/GPU, parallel calculations were performed by means of domain decomposition. In the GPU-version of the code, basic computational functions were implemented as CUDA kernels to perform on GPUs. The code has been verified using several test cases. The computational efficiencies of several GPUs were compared with each other and that of modern CPUs. A modern GPU can increase the calculation performance of CFD problems by more than two times compared to a modern six-core CPU. © 2017, Springer International Publishing AG.

Ссылки на полный текст

Издание

Журнал: Communications in Computer and Information Science

Выпуск журнала: Vol. 753

Номера страниц: 288-300

ISSN журнала: 18650929

Издатель: Springer Verlag

Персоны

  • Sentyabov Andrey V. (Siberian Fed Univ, Krasnoyarsk, Russia; RAS, SB, Inst Thermophys, Novosibirsk, Russia)
  • Gavrilov Andrey A. (Siberian Fed Univ, Krasnoyarsk, Russia; RAS, SB, Inst Thermophys, Novosibirsk, Russia)
  • Krivov Maxim A. (Lomonosov Moscow State Univ, Moscow, Russia)
  • Dekterev Alexander A. (Siberian Fed Univ, Krasnoyarsk, Russia; RAS, SB, Inst Thermophys, Novosibirsk, Russia)
  • Pritula Mikhail N. (RAS, CTP, PCP, Moscow, Russia)