FPGA与GPU求解大量线性方程的比较分析

K. Salah, Mohamed Abdel Salam
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引用次数: 4

摘要

电磁仿真是目前高频系统中非常需要的规划工具。电磁模拟的主要目标是找到麦克斯韦方程组的近似解,该解满足给定的边界条件和一组初始条件。求解电磁问题最著名的方法是有限元法(FEM)。有限元计算耗时太长。本文评估了使用硬件仿真(fpga)和gpu来求解大量线性方程的性能改进。结果表明,gpu的性能优于fpga。
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A comparative analysis between FPGA and GPU for solving large numbers of linear equations
Electromagnetic (EM) simulation is currently a highly-needed planning tool in high frequency systems. The main objective of EM simulation is to find an approximate solution for Maxwell's equations that satisfies the given boundary conditions and a set of initial conditions. The most famous methods for solving EM problems are finite element method (FEM). Computations involved in FEM consume too much time. In this paper, the performance improvement from using hardware emulation (FPGAs) and GPUs to solve large numbers of linear equations is evaluated. The results show that GPUs have superior performance over FPGAs.
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