LEONARDO
M. Turisini, Mirko Cestari, Giorgio Amati
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.
Topics & Concepts
Computer scienceScalabilityPartition (number theory)ArchitectureComputer architectureSoftwareStack (abstract data type)SupercomputerOperating systemVisual artsArtMathematicsCombinatoricsDistributed and Parallel Computing SystemsAdvanced Data Storage TechnologiesScientific Computing and Data Management