GPGPU for problem-solving environment in accelerator physics

DOI

https://doi.org/10.1007/978-3-319-95171-3_5
Final published version

Nataliia Kulabukhova

The paper contains the survey of benefits of using graphical processors for general purpose computations as a part of problem-solving environment in the beam physics studies. The comparison of testing numerical element-to-element modelling on CPU and the long-turn symbolic simulation with the general purpose GPUs in the working prototype is made. With the help of the graphical processors from both sides - the general purpose computations and the graphical units itself - the analysis of beam behaviour under the influence of the space charge is done.

Original language	English
Title of host publication	Computational Science and Its Applications – ICCSA 2018 - 18th International Conference, 2018, Proceedings
Editors	Beniamino Murgante, Bernady O. Apduhan, Ana Maria Rocha, David Taniar, Eufemia Tarantino, Yeonseung Ryu, Osvaldo Gervasi, Sanjay Misra, Elena Stankova, Carmelo M. Torre
Publisher	Springer Nature
Pages	51-60
Number of pages	10
ISBN (Print)	9783319951706
DOIs	https://doi.org/10.1007/978-3-319-95171-3_5
State	Published - 1 Jul 2018
Event	18th International Conference on Computational Science and Its Applications, ICCSA 2018 - Melbourne, Australia Duration: 2 Jul 2018 → 5 Jul 2018

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10963 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	18th International Conference on Computational Science and Its Applications, ICCSA 2018
Country/Territory	Australia
City	Melbourne
Period	2/07/18 → 5/07/18

Scopus subject areas

Theoretical Computer Science
Computer Science(all)

ID: 36822685