Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
A numerical code for the simulation of non-equilibrium chemically reacting flows on hybrid CPU-GPU clusters. / Kudryavtsev, Alexey N.; Kashkovsky, Alexander V.; Borisov, Semyon P. et al.
Proceedings of the XXV Conference on High-Energy Processes in Condensed Matter, HEPCM 2017: Dedicated to the 60th Anniversary of the Khristianovich Institute of Theoretical and Applied Mechanics SB RAS. ed. / Fomin. Vol. 1893 American Institute of Physics Inc., 2017. 030054 (AIP Conference Proceedings; Vol. 1893).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
}
TY - GEN
T1 - A numerical code for the simulation of non-equilibrium chemically reacting flows on hybrid CPU-GPU clusters
AU - Kudryavtsev, Alexey N.
AU - Kashkovsky, Alexander V.
AU - Borisov, Semyon P.
AU - Shershnev, Anton A.
PY - 2017/10/26
Y1 - 2017/10/26
N2 - In the present work a computer code RCFS for numerical simulation of chemically reacting compressible flows on hybrid CPU/GPU supercomputers is developed. It solves 3D unsteady Euler equations for multispecies chemically reacting flows in general curvilinear coordinates using shock-capturing TVD schemes. Time advancement is carried out using the explicit Runge-Kutta TVD schemes. Program implementation uses CUDA application programming interface to perform GPU computations. Data between GPUs is distributed via domain decomposition technique. The developed code is verified on the number of test cases including supersonic flow over a cylinder.
AB - In the present work a computer code RCFS for numerical simulation of chemically reacting compressible flows on hybrid CPU/GPU supercomputers is developed. It solves 3D unsteady Euler equations for multispecies chemically reacting flows in general curvilinear coordinates using shock-capturing TVD schemes. Time advancement is carried out using the explicit Runge-Kutta TVD schemes. Program implementation uses CUDA application programming interface to perform GPU computations. Data between GPUs is distributed via domain decomposition technique. The developed code is verified on the number of test cases including supersonic flow over a cylinder.
UR - http://www.scopus.com/inward/record.url?scp=85034227306&partnerID=8YFLogxK
U2 - 10.1063/1.5007512
DO - 10.1063/1.5007512
M3 - Conference contribution
AN - SCOPUS:85034227306
VL - 1893
T3 - AIP Conference Proceedings
BT - Proceedings of the XXV Conference on High-Energy Processes in Condensed Matter, HEPCM 2017
A2 - Fomin, null
PB - American Institute of Physics Inc.
T2 - 25th Conference on High-Energy Processes in Condensed Matter, HEPCM 2017
Y2 - 5 June 2017 through 9 June 2017
ER -
ID: 9697495