Development of a hardware-accelerated simulation kernel for ultra-high vacuum with Nvidia RTX GPUs

IF 2.5 3区 计算机科学 Q2 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
Pascal R Bähr, B. Lang, P. Ueberholz, M. Ady, R. Kersevan
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引用次数: 1

Abstract

Molflow+ is a Monte Carlo (MC) simulation software for ultra-high vacuum, mainly used to simulate pressure in particle accelerators. In this article, we present and discuss the design choices arising in a new implementation of its ray-tracing–based simulation unit for Nvidia RTX Graphics Processing Units (GPUs). The GPU simulation kernel was designed with Nvidia’s OptiX 7 API to make use of modern hardware-accelerated ray-tracing units, found in recent RTX series GPUs based on the Turing and Ampere architectures. Even with the challenges posed by switching to 32 bit computations, our kernel runs much faster than on comparable CPUs at the expense of a marginal drop in calculation precision.
用Nvidia RTX GPU开发超高真空度硬件加速仿真内核
Molflow+是一款用于超高真空的蒙特卡罗(MC)模拟软件,主要用于模拟粒子加速器中的压力。在本文中,我们介绍并讨论了Nvidia RTX图形处理单元(GPU)基于光线跟踪的模拟单元的新实现中出现的设计选择。GPU模拟内核是使用Nvidia的OptiX 7 API设计的,以利用现代硬件加速光线跟踪单元,这些单元在最近基于图灵和安培架构的RTX系列GPU中发现。即使切换到32位计算带来了挑战,我们的内核运行速度也比同等CPU快得多,代价是计算精度略有下降。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of High Performance Computing Applications
International Journal of High Performance Computing Applications 工程技术-计算机:跨学科应用
CiteScore
6.10
自引率
6.50%
发文量
32
审稿时长
>12 weeks
期刊介绍: With ever increasing pressure for health services in all countries to meet rising demands, improve their quality and efficiency, and to be more accountable; the need for rigorous research and policy analysis has never been greater. The Journal of Health Services Research & Policy presents the latest scientific research, insightful overviews and reflections on underlying issues, and innovative, thought provoking contributions from leading academics and policy-makers. It provides ideas and hope for solving dilemmas that confront all countries.
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