Transparent extension of INFN-T1 with heterogeneous computing architectures

<p><span>The INFN-CNAF Tier-1 is engaged for years in a continuous effort to integrate</span><br><span>its computing centre with more typologies of computing resources. In particular, the challenge</span><br><span>of providing opportunistic access to nonstandard CPU architectures, such as PowerPC, ARM</span><br><span>or hardware accelerators (GPUs) has been actively exploited.</span> <span>In this work, we describe a</span><br><span>solution to transparently integrate access to ppc64 and GPUs.</span> <span>This solution has been tested</span><br><span>to transparently extend the INFN-T1 Grid computing centre with Power9 based machines and</span><br><span>V100 GPUs from the Marconi 100 HPC cluster managed by CINECA, and eventually used for</span><br><span>the next CINECA machine, Leonardo. We also discuss further possible improvements and how</span><br><span>this will meet requirements and future plans for the new tecnopolo centre, where the CNAF</span><br><span>Tier-1 will be hosted soon.</span></p>

Publication Details

Journal
INFM-OAR (INFN Catania)
Published
2024-09-02
DOI
https://doi.org/10.15161/oar.it/51zr5-w9317
Primary Topic
Parallel Computing and Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Transparent extension of INFN-T1 with heterogeneous computing architectures

INFM-OAR (INFN Catania)
Parallel Computing and Optimization Techniques
article

Transparent extension of INFN-T1 with heterogeneous computing architectures

article en

Abstract

<p><span>The INFN-CNAF Tier-1 is engaged for years in a continuous effort to integrate</span><br><span>its computing centre with more typologies of computing resources. In particular, the challenge</span><br><span>of providing opportunistic access to nonstandard CPU architectures, such as PowerPC, ARM</span><br><span>or hardware accelerators (GPUs) has been actively exploited.</span> <span>In this work, we describe a</span><br><span>solution to transparently integrate access to ppc64 and GPUs.</span> <span>This solution has been tested</span><br><span>to transparently extend the INFN-T1 Grid computing centre with Power9 based machines and</span><br><span>V100 GPUs from the Marconi 100 HPC cluster managed by CINECA, and eventually used for</span><br><span>the next CINECA machine, Leonardo. We also discuss further possible improvements and how</span><br><span>this will meet requirements and future plans for the new tecnopolo centre, where the CNAF</span><br><span>Tier-1 will be hosted soon.</span></p>

INFM-OAR (INFN Catania)
Industry, innovation and infrastructure
Openalex Percentile: Top 47%
Parallel Computing and Optimization Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.