Cargando…
Review of CPU and GPU Faddeeva Implementations
The Faddeeva error function is frequently used when computing electric fields generated by two-dimensional Gaussian charge distributions. Numeric evaluation of the Faddeeva function is particularly challenging since there is no single expansion that converges rapidly over the whole complex domain. V...
Autores principales: | Oeftiger, Adrian, Aviral, Anshu, De Maria, Riccardo, Deniau, Laurent, Hegglin, Stefan, Li, Kevin, McIntosh, Eric, Moneta, Lorenzo |
---|---|
Lenguaje: | eng |
Publicado: |
2016
|
Materias: | |
Acceso en línea: | https://dx.doi.org/10.18429/JACoW-IPAC2016-WEPOY044 http://cds.cern.ch/record/2207430 |
Ejemplares similares
-
Space charge modules for PyHEADTAIL
por: Oeftiger, Adrian, et al.
Publicado: (2016) -
Power efficiency of HEP applications on CPU & GPU
por: Tuteja, Keshvi
Publicado: (2023) -
Code development for collective effects
por: Li, Kevin Shing Bruce, et al.
Publicado: (2016) -
A Comparison of CPU and GPU implementations for the LHCb Experiment Run 3 Trigger
por: Aaij, R., et al.
Publicado: (2021) -
Fast parallel image registration on CPU and GPU for diagnostic classification of Alzheimer's disease
por: Shamonin, Denis P., et al.
Publicado: (2014)