2011 Particle Accelerator Conference - List of Authors (Vlasov, A.N.)

Paper	Title	Page
TUP010	Code TESLA for Modeling and Design of High-Power, High-Efficiency Klystrons	826
	I.A. Chernyavskiy SAIC, McLean, USA T.M. Antonsen UMD, College Park, Maryland, USA S.J. Cooke, B. Levush, A.N. Vlasov NRL, Washington, DC, USA
	Funding: This work was supported by the U.S. Office of Naval Research (ONR). This work gives an overview of the main features of the 2.5D large-signal code TESLA and its capabilities for the modelling single-beam and multiple-beam klystrons as high-power RF sources. These sources are widely used or proposed to be used in accelerators in the future. Comparison of TESLA modelling results with experimental data for a few multiple-beam klystrons are shown.

WEP156	GPU-Accelerated 3D Time-Domain Simulation of RF Fields and Particle Interactions	1779
	S.J. Cooke, B. Levush, A.N. Vlasov NRL, Washington, DC, USA T.M. Antonsen UMD, College Park, Maryland, USA I.A. Chernyavskiy SAIC, McLean, USA
	Funding: This work is supported by the U.S. Office of Naval Research. The numerical simulation of electromagnetic fields and particle interactions in accelerator components can consume considerable computational resources. By performing the same computation on fast, highly parallel GPU hardware instead of conventional CPUs it is possible to achieve a 20x reduction in simulation time for the traditional 3D FDTD algorithm. For structures that are small compared to the RF wavelength, however, or that require fine grids to resolve, the FDTD technique is constrained by the Courant condition to use very small time steps compared to the RF period. To avoid this constraint we have implemented an implicit, complex-envelope 3D ADI-FDTD algorithm for the GPU and demonstrate a further 5x reduction in simulation time, now two orders of magnitude faster than conventional FDTD codes. Recently, a GPU-based particle interaction model has been introduced, for which results will be reported. These algorithms form the basis of a new code, NEPTUNE, being developed to perform self-consistent 3D nonlinear simulations of vacuum electron devices.

Paper

Title

Page

Code TESLA for Modeling and Design of High-Power, High-Efficiency Klystrons

826

I.A. Chernyavskiy
SAIC, McLean, USA
T.M. Antonsen
UMD, College Park, Maryland, USA
S.J. Cooke, B. Levush, A.N. Vlasov
NRL, Washington, DC, USA

Funding: This work was supported by the U.S. Office of Naval Research (ONR).
This work gives an overview of the main features of the 2.5D large-signal code TESLA and its capabilities for the modelling single-beam and multiple-beam klystrons as high-power RF sources. These sources are widely used or proposed to be used in accelerators in the future. Comparison of TESLA modelling results with experimental data for a few multiple-beam klystrons are shown.

WEP156

GPU-Accelerated 3D Time-Domain Simulation of RF Fields and Particle Interactions

1779

S.J. Cooke, B. Levush, A.N. Vlasov
NRL, Washington, DC, USA
T.M. Antonsen
UMD, College Park, Maryland, USA
I.A. Chernyavskiy
SAIC, McLean, USA

Funding: This work is supported by the U.S. Office of Naval Research.
The numerical simulation of electromagnetic fields and particle interactions in accelerator components can consume considerable computational resources. By performing the same computation on fast, highly parallel GPU hardware instead of conventional CPUs it is possible to achieve a 20x reduction in simulation time for the traditional 3D FDTD algorithm. For structures that are small compared to the RF wavelength, however, or that require fine grids to resolve, the FDTD technique is constrained by the Courant condition to use very small time steps compared to the RF period. To avoid this constraint we have implemented an implicit, complex-envelope 3D ADI-FDTD algorithm for the GPU and demonstrate a further 5x reduction in simulation time, now two orders of magnitude faster than conventional FDTD codes. Recently, a GPU-based particle interaction model has been introduced, for which results will be reported. These algorithms form the basis of a new code, NEPTUNE, being developed to perform self-consistent 3D nonlinear simulations of vacuum electron devices.