Cite
Parallel computing in soft X‐rays plasma diagnostic systems for thermal fusion reactors—feasibility studies for GPUs.
MLA
Krawczyk, Rafal, et al. “Parallel Computing in Soft X‐rays Plasma Diagnostic Systems for Thermal Fusion Reactors—feasibility Studies for GPUs.” Concurrency & Computation: Practice & Experience, vol. 32, no. 10, May 2020, pp. 1–12. EBSCOhost, https://doi.org/10.1002/cpe.5235.
APA
Krawczyk, R., Czarski, T., Linczuk, P., Wojenski, A., Chernyshova, M., Pozniak, K., Mazon, D., Kolasinski, P., Kasprowicz, G., Zabolotny, W., Gaska, M., Kowalsaka-Strzeciwilk, E., Malinowski, K., Jardin, A., & Malard, P. (2020). Parallel computing in soft X‐rays plasma diagnostic systems for thermal fusion reactors—feasibility studies for GPUs. Concurrency & Computation: Practice & Experience, 32(10), 1–12. https://doi.org/10.1002/cpe.5235
Chicago
Krawczyk, Rafal, Tomasz Czarski, Pawel Linczuk, Andrzej Wojenski, Maryna Chernyshova, Krzysztof Pozniak, Didier Mazon, et al. 2020. “Parallel Computing in Soft X‐rays Plasma Diagnostic Systems for Thermal Fusion Reactors—feasibility Studies for GPUs.” Concurrency & Computation: Practice & Experience 32 (10): 1–12. doi:10.1002/cpe.5235.