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RIS citation export for WEPOY044: Review of CPU and GPU Faddeeva Implementations

AU - Oeftiger, A.
AU - Aviral, A.
AU - De Maria, R.
AU - Deniau, L.
AU - Hegglin, S.
AU - Li, K.S.B.
AU - McIntosh, E.
AU - Moneta, L.
ED - Petit-Jean-Genaz, Christine
ED - Kim, Dong Eon
ED - Kim, Kyung Sook
ED - Ko, In Soo
ED - Schaa, Volker RW
TI - Review of CPU and GPU Faddeeva Implementations
J2 - Proc. of IPAC2016, Busan, Korea, May 8-13, 2016
C1 - Busan, Korea
T2 - International Particle Accelerator Conference
T3 - 7
LA - english
AB - 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. Various algorithms exist, even in the recent literature there have been new proposals. The many different implementations in computer codes offer different trade-offs between speed and accuracy. We present an extensive benchmark of selected algorithms and implementations for accuracy, speed and memory footprint, both for CPU and GPU architectures.
CP - Geneva, Switzerland
SP - 3090
EP - 3093
KW - timing
KW - interface
KW - simulation
KW - space-charge
DA - 2016/06
PY - 2016
SN - 978-3-95450-147-2
DO - 10.18429/JACoW-IPAC2016-WEPOY044
UR - http://jacow.org/ipac2016/papers/wepoy044.pdf
ER -