设计和工程为GPU和矢量CPU的MG5aMC事件生成器设计和工程 (Design and engineering of a simplified workflow execution for the MG5aMC event generator on GPUs and vector CPUs)

from arxiv, 17 pages, 6 figures, submitted to vCHEP2021 proceedings in EPJ Web of Conferences; minor changes to address comments from the EPJWOC reviewer

Physics event generators are essential components of the data analysis software chain of high energy physics experiments, and important consumers of their CPU resources. Improving the software performance of these packages on modern hardware architectures, such as those deployed at HPC centers, is essential in view of the upcoming HL-LHC physics programme. In this paper, we describe an ongoing activity to reengineer the Madgraph5_aMC@NLO physics event generator, primarily to port it and allow its efficient execution on GPUs, but also to modernize it and optimize its performance on vector CPUs. We describe the motivation, engineering process and software architecture design of our developments, as well as the current challenges and future directions for this project. This paper is based on our submission to vCHEP2021 in March 2021,complemented with a few preliminary results that we presented during the conference. Further details and updated results will be given in later publications.

翻译：物理事件生成器是高能物理实验数据分析软件链的必要组成部分,也是其CPU资源的重要消费者。鉴于即将推出HL-LHC物理方案,提高这些软件包在现代硬件结构(如HPC中心部署的硬件结构)上的软件性能至关重要。本文描述了一项正在进行的活动,以重新设计Madragma5_aMC@NLO物理事件生成器,主要是将其移植到GPU上,并使其能够高效地执行GPU,但也使其现代化并优化其在矢量CPU上的性能。我们描述了我们开发的动力、工程过程和软件结构设计,以及该项目目前的挑战和未来方向。本文以2021年3月我们提交VCHEP2021的文件为基础,并附有我们在会议期间提出的一些初步结果。将在以后的出版物中提供进一步的细节和最新结果。