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 discretization 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.
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)
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