The accelerated multi-stage depressed collector code COLLGUN using CUDA

Author

Xavier, Cesar C. ; Laudani, Antonino

Author_Institution

Univ. of Sao Paulo, Sao Paulo, Brazil

fYear

2014

fDate

22-24 April 2014

Firstpage

17

Lastpage

18

Abstract

COLLGUN, designed to simulate multistage depressed collectors, was optimized by using parallel computing. This work reports the speedups observed on a parallel implementation of the COLLGUN code using CUDA. Were parallelized the solver of the sparse system for the electric scalar potential using the Incomplete Cholesky Conjugate Gradient Method (a) and the determination of the electric field inside each tetrahedron of the mesh (b), and speedups over 3X and 5X were respectively observed.

Keywords

conjugate gradient methods; parallel architectures; travelling wave tubes; COLLGUN code; CUDA; accelerated multistage depressed collectors; electric scalar potential; incomplete Cholesky conjugate gradient method; parallel computing; parallel implementation; sparse system; tetrahedron; Educational institutions; Electric fields; Electric potential; Finite element analysis; Graphics processing units; Parallel processing; Sparse matrices; CUDA; Klystrons; TWT; collector; multistage collectors; parallel processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Vacuum Electronics Conference, IEEE International

Conference_Location

Monterey, CA

Type

conf

DOI

10.1109/IVEC.2014.6857468

Filename

6857468