REVIEW 1 cited by
LEONARDO: A Pan-European Pre-Exascale Supercomputer for HPC and AI Applications
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
read the original 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 the general 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.
Forward citations
Cited by 1 Pith paper
-
Bubble dynamics in a QCD-like phase diagram
Holographic simulations show supercooled bubble walls in a QCD-like fluid reach at most about 0.13 times light speed, while superheated walls reach only about 0.03.
Discussion (0). Continue with ORCID to comment.