Показать сокращенную информацию

Andrey V. Sentyabov
Andrey A. Gavrilov
Maxim A. Krivov
Дектерев, А. А.
Mikhail N. Prit
2019-07-01T07:22:17Z
2019-07-01T07:22:17Z
2017-10
Andrey V. Sentyabov. Development of a High Performance Code for Hydrodynamic Calculations Using Graphics Processor Units [Текст] / Andrey V. Sentyabov, Andrey A. Gavrilov, Maxim A. Krivov, А. А. Дектерев, Mikhail N. Prit // Communications in Computer and Information Science. — 2017. — Т. 753. — С. 288-300
18650929
http://mmp.vestnik.susu.ru/article/en/478
https://elib.sfu-kras.ru/handle/2311/110597
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.
GPGPU CUDA MPI CFD Numerical simulation Control volume method SIMPLE Incompressible flow Domain decomposition
Development of a High Performance Code for Hydrodynamic Calculations Using Graphics Processor Units
Journal Article
Journal Article Preprint
288-300
29.03.77
2019-07-01T07:22:17Z
10.1007/978-3-319-67035-5_21
Институт инженерной физики и радиоэлектроники
Кафедра теплофизики
Communications in Computer and Information Science
Q3
без квартиля


Файлы в этом документе

Thumbnail

Данный элемент включен в следующие коллекции

Показать сокращенную информацию