LEONARDO

Matteo Turisini, Mirko Cestari, G. Amati
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Abstract

A new pre-exascale computer cluster has been designed to foster scientific progress and competitive innovation across European research systems, it is called LEONARDO. This paper describes thegeneral architecture of the system and focuses on the technologies adopted for its GPU-accelerated partition. High density processing elements, fast data movement capabilities and mature software stack collections allow the machine to run intensive workloads in a flexible and scalable way. Scientific applications from traditional High Performance Computing (HPC) as well as emerging Artificial Intelligence (AI) domains can benefit from this large apparatus in terms of time and energy to solution.
莱昂纳多
为了促进欧洲研究系统的科学进步和竞争性创新,我们设计了一个新的超大规模前计算机集群,它被称为 LEONARDO。本文介绍了该系统的总体架构,并重点介绍了其 GPU 加速分区所采用的技术。高密度的处理元件、快速的数据移动能力和成熟的软件栈集合,使这台机器能够以灵活和可扩展的方式运行密集型工作负载。传统的高性能计算(HPC)以及新兴的人工智能(AI)领域的科学应用都可以从这台大型设备中获益,节省解决问题的时间和精力。
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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