Title :
GPU-accelerated 3D large-signal device simulation using the particle-in-cell code ‘Neptune’
Author :
Cooke, Simon J. ; Chernyavskiy, Igor A. ; Stanchev, George M. ; Levush, Baruch ; Antonsen, Thomas M., Jr.
Author_Institution :
Naval Res. Lab., Washington, DC, USA
Abstract :
We present large-signal, 3D simulations of vacuum electronic slow-wave amplifier operation using the GPU-accelerated FDTD-PIC simulation code, `Neptune´. Neptune implements a self-consistent, charge-conserving, electromagnetic, particle-in-cell algorithm optimized for parallel execution in both multi-core CPU and GPU processors. Significant performance gains achieved using a 512-core Nvidia GTX-580 graphics card are demonstrated.
Keywords :
amplifiers; electronic engineering computing; finite difference time-domain analysis; graphics processing units; slow wave structures; 512-core Nvidia GTX-580 graphics card; GPU processor; GPU-accelerated 3D large-signal device simulation; GPU-accelerated FDTD-PIC simulation code neptune; multicore CPU; parallel execution; particle-in-cell code neptune; vacuum electronic slow-wave amplifier; Computational modeling; Finite difference methods; Graphics processing unit; Load modeling; Solid modeling; Time domain analysis; FDTD-PIC; GPU; non-linear; slow-wave amplifier;
Conference_Titel :
Vacuum Electronics Conference (IVEC), 2012 IEEE Thirteenth International
Conference_Location :
Monterey, CA
Print_ISBN :
978-1-4673-0188-6
Electronic_ISBN :
978-1-4673-0187-9
DOI :
10.1109/IVEC.2012.6262057
