Standard

Acceleration of computing and visualization processes with OpenCL for standing sea wave simulation model. / Ivashchenko, Andrei; Belezeko, Alexey; Gankevich, Ivan; Korkhov, Vladimir; Kulabukhova, Nataliia.

в: Lecture Notes in Computer Science, Том 10408, 2017, стр. 505-518.

Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование

Harvard

Ivashchenko, A, Belezeko, A, Gankevich, I, Korkhov, V & Kulabukhova, N 2017, 'Acceleration of computing and visualization processes with OpenCL for standing sea wave simulation model', Lecture Notes in Computer Science, Том. 10408, стр. 505-518. https://doi.org/10.1007/978-3-319-62404-4_38

APA

Ivashchenko, A., Belezeko, A., Gankevich, I., Korkhov, V., & Kulabukhova, N. (2017). Acceleration of computing and visualization processes with OpenCL for standing sea wave simulation model. Lecture Notes in Computer Science, 10408, 505-518. https://doi.org/10.1007/978-3-319-62404-4_38

Vancouver

Ivashchenko A, Belezeko A, Gankevich I, Korkhov V, Kulabukhova N. Acceleration of computing and visualization processes with OpenCL for standing sea wave simulation model. Lecture Notes in Computer Science. 2017;10408:505-518. https://doi.org/10.1007/978-3-319-62404-4_38

Author

Ivashchenko, Andrei ; Belezeko, Alexey ; Gankevich, Ivan ; Korkhov, Vladimir ; Kulabukhova, Nataliia. / Acceleration of computing and visualization processes with OpenCL for standing sea wave simulation model. в: Lecture Notes in Computer Science. 2017 ; Том 10408. стр. 505-518.

BibTeX

@article{75394184df5a4552813fc34844ba0aa3,
title = "Acceleration of computing and visualization processes with OpenCL for standing sea wave simulation model",
abstract = "In this paper we highlight one of the possible acceleration approaches for the standing wave model simulation model with the use of OpenCL framework for GPGPU computations. We provide a description of the wave{\textquoteright}s mathematical model, an explanation for the technology selection, as well as the identification of the algorithm part that can be accelerated. The text also contains a description of solution{\textquoteright}s performance evaluation stage being compared with CPU-only program. The influence of OpenCL usage for improvements in rendering process is also shown here. Finally, possible ways of application improvement and further development are also considered.",
keywords = "Autoregressive process, Computing, Mathematical modelling, Moving average process, OpenCL, OpenGL, Real-time simulation, Velocity potential field, Visualisation",
author = "Andrei Ivashchenko and Alexey Belezeko and Ivan Gankevich and Vladimir Korkhov and Nataliia Kulabukhova",
year = "2017",
doi = "10.1007/978-3-319-62404-4_38",
language = "English",
volume = "10408",
pages = "505--518",
journal = "Lecture Notes in Computer Science",
issn = "0302-9743",
publisher = "Springer Nature",
note = "17th International Conference on Computational Science and Its Applications, ICCSA 2017 ; Conference date: 02-07-2017 Through 05-07-2017",

}

RIS

TY - JOUR

T1 - Acceleration of computing and visualization processes with OpenCL for standing sea wave simulation model

AU - Ivashchenko, Andrei

AU - Belezeko, Alexey

AU - Gankevich, Ivan

AU - Korkhov, Vladimir

AU - Kulabukhova, Nataliia

N1 - Conference code: 17

PY - 2017

Y1 - 2017

N2 - In this paper we highlight one of the possible acceleration approaches for the standing wave model simulation model with the use of OpenCL framework for GPGPU computations. We provide a description of the wave’s mathematical model, an explanation for the technology selection, as well as the identification of the algorithm part that can be accelerated. The text also contains a description of solution’s performance evaluation stage being compared with CPU-only program. The influence of OpenCL usage for improvements in rendering process is also shown here. Finally, possible ways of application improvement and further development are also considered.

AB - In this paper we highlight one of the possible acceleration approaches for the standing wave model simulation model with the use of OpenCL framework for GPGPU computations. We provide a description of the wave’s mathematical model, an explanation for the technology selection, as well as the identification of the algorithm part that can be accelerated. The text also contains a description of solution’s performance evaluation stage being compared with CPU-only program. The influence of OpenCL usage for improvements in rendering process is also shown here. Finally, possible ways of application improvement and further development are also considered.

KW - Autoregressive process

KW - Computing

KW - Mathematical modelling

KW - Moving average process

KW - OpenCL

KW - OpenGL

KW - Real-time simulation

KW - Velocity potential field

KW - Visualisation

UR - http://www.scopus.com/inward/record.url?scp=85026774789&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-62404-4_38

DO - 10.1007/978-3-319-62404-4_38

M3 - Article

AN - SCOPUS:85026774789

VL - 10408

SP - 505

EP - 518

JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

SN - 0302-9743

T2 - 17th International Conference on Computational Science and Its Applications, ICCSA 2017

Y2 - 2 July 2017 through 5 July 2017

ER -

ID: 9305714