Parallel computing in soft X‐rays plasma diagnostic systems for thermal fusion reactors—feasibility studies for GPUs-Reference-Cited by-同舟云学术

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Parallel computing in soft X‐rays plasma diagnostic systems for thermal fusion reactors—feasibility studies for GPUs

Published:2019-04-03 Issue:10 Volume:32 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Krawczyk Rafal¹^ORCID,Czarski Tomasz²,Linczuk Pawel¹²,Wojenski Andrzej¹,Chernyshova Maryna²,Pozniak Krzysztof¹,Mazon Didier³,Kolasinski Piotr¹,Kasprowicz Grzegorz¹,Zabolotny Wojciech¹,Gaska Michal¹,Kowalsaka-Strzeciwilk Ewa²,Malinowski Karol²,Jardin Axel³⁴,Malard Philippe³

Affiliation:

1. Institute of Electronic SystemsWarsaw University of Technology Warsaw Poland

2. Institute of Plasma Physics and Laser Microfusion Warsaw Poland

3. Institute for Magnetic Fusion ResearchFrench Atomic Energy and Alternative Energies Commission Cadarache France

4. Institute of Nuclear PhysicsPolish Academy of Sciences Krakow Poland

Funder

Politechnika Warszawska

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.5235

Reference32 articles.

1. Chapter 8: Plasma operation and control

2. ITER website.https://www.iter.org/

3. As hot as it gets

4. Conceptual design and development of GEM based detecting system for tomographic tungsten focused transport monitoring

5. KrawczykR LinczukP WojenskiA et al.Novel application of parallel computing techniques in soft X‐rays plasma measurement systems for the WEST Experimental Thermal Fusion Reactor. In: Proceedings of 26th Euromicro International Conference on Parallel Distributed and Network‐based Processing;2018;Cambridge United Kingdom.

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Latest advances in parallel, distributed, and network‐based processing;Concurrency and Computation: Practice and Experience;2020-02-11

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