基于CUDA的加速多级压缩收集器代码COLLGUN

IEEE International Vacuum Electronics Conference. International Vacuum Electronics Conference Pub Date : 2014-04-22 DOI:10.1109/IVEC.2014.6857468

C. C. Xavier, Antonino Laudani

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引用次数: 1

摘要

采用并行计算方法对多级压抑集热器模拟软件COLLGUN进行了优化设计。这项工作报告了在使用CUDA并行实现COLLGUN代码时观察到的加速。采用不完全Cholesky共轭梯度法(a)并行化求解稀疏系统的电标量势，并确定网格各四面体内部的电场(b)，分别观察到超过3X和5X的加速。

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The accelerated multi-stage depressed collector code COLLGUN using CUDA

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.

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IEEE International Vacuum Electronics Conference. International Vacuum Electronics Conference

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