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RIS citation export for WEPMY043: Parallel Particle Movement Simulation Algorithm Based on Heterogeneous Computing

TY - CONF
AU - Zhang, L.G.
AU - Cao, L.
AU - Fan, K.
AU - Huang, J.
AU - Liu, K.F.
AU - Qi, W.
AU - Yang, J.
ED - Petit-Jean-Genaz, Christine
ED - Kim, Dong Eon
ED - Kim, Kyung Sook
ED - Ko, In Soo
ED - Schaa, Volker RW
TI - Parallel Particle Movement Simulation Algorithm Based on Heterogeneous Computing
J2 - Proc. of IPAC2016, Busan, Korea, May 8-13, 2016
C1 - Busan, Korea
T2 - International Particle Accelerator Conference
T3 - 7
LA - english
AB - Particle in cell (PIC) algorithm studies the self-consistent motion of multi-particle system by solving equations of particle dynamics, this algorithm is widely used to evaluate the nonlinear space charge effect of the high intensity or low energy beam. In order to reduce the random noise in the simulation, a huge number of particles should be traced, the process expends many computer hardware resources and a lot of computing time. Heterogeneous computing can greatly improve the efficiency of large quantities of the particle tracking by making full use of different types of computing resources. In this paper we give the algorithm which uses both CPU and GPU to trace the particles in electromagnetic field. The results show that the given algorithm increases the efficiency significantly.
PB - JACoW
CP - Geneva, Switzerland
SP - 2654
EP - 2657
KW - GPU
KW - hardware
KW - simulation
KW - controls
KW - framework
DA - 2016/06
PY - 2016
SN - 978-3-95450-147-2
DO - 10.18429/JACoW-IPAC2016-WEPMY043
UR - http://jacow.org/ipac2016/papers/wepmy043.pdf
ER -