共享内存并行计算机上的高性能半导体器件仿真

M. Hahad, P. Hopper
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摘要

本文中描述的工作证明,由于并行化,时间可以较少地成为数值器件模拟的瓶颈。有了可行的执行时间,就不需要在更大的结构和更精细的细节之间进行权衡,以达到合理数量的可接受的精度。的时间。本文表明,在模拟各种各样的设备时,Parallel ATLAS在四处理器机器上的运行速度大约快3倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High performance semiconductor device simulation on shared memory parallel computers
The work described in this paper is the evidence that, thanks to parallelization, time can be less of a bottleneck to numerical device simulation. With viable execution times, there is less need for a trade-off between larger structures and finer details to achieve an acceptable accuracy in a reasonable amount. of time. The article shows that Parallel ATLAS runs approximately 3 times faster on a four-processor machine while simulating a wide variety of devices.
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