Enabling HPC systems for HEP: the INFN-CINECA Experience

Ciangottini, D.; Noferini, F.; Bozzi, C.; Perazzini, S.; Valassi, A.; Stagni, F.; Doria, A.; dell’Agnello, Luca; Maron, G.; Salvo, A. De; Zani, S.; Morganti, Lucia; Cesini, Daniele; Sapunenko, V.; Pra, Stefano Dal

doi:10.22323/1.378.0003

Cited by 2 publications

(2 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These, together with various XrootD proxies and caching proxies in support of the HPC datacenter integration for jobs running in a dedicated partition of CINECA, Marconi, without external networking connectivity [7], all add up to 35 XrootD instances.…”

Section: Lucia Morgantimentioning

confidence: 99%

Large Scale Data Handling experience at INFN-CNAF Data Center

Morganti¹,

Cavalli²,

Falabella³

et al. 2022

Proceedings of 41st International Conference on High Energy Physics — PoS(ICHEP2022)

View full text Add to dashboard Cite

in the field of information technologies applied to high energies physics experiments. CNAF hosts the largest INFN data center which also includes a Worldwide LHC Computing Grid (WLCG) Tier1 site (one of 13 around the world), providing resources, support and services needed for computing and data handling in the WLCG framework. The data center also represents a key data facility for many astro-particle and nuclear physics experiments. The Data management team manages and makes available all the Tier1 storage resources to the scientific community. Currently, such resources consist of more than 50 PB of disk storage and more than 110 PB of tape storage. We describe the adopted technologies for Data Management and Data Transfer and how our services are evolving to cope with the requirements imposed by the High Luminosity-LHC era, in the context of a worldwide transition to new protocols and authorization approaches for bulk data transfers between WLCG sites. Also, we report on our work to provide POSIX filesystems with different technologies: along with the bulk of data center storage, which is based on GPFS deployments, we provide CephFS as well as object and block storage service for data access requirements beyond WLCG use cases.

show abstract

Section: Lucia Morgantimentioning

confidence: 99%

Large Scale Data Handling experience at INFN-CNAF Data Center

Morganti¹,

Cavalli²,

Falabella³

et al. 2022

Proceedings of 41st International Conference on High Energy Physics — PoS(ICHEP2022)

View full text Add to dashboard Cite

show abstract

“…Over the years, significant progress has been made at integrating various computing resources with the center's infrastructure. These resources encompass a wide spectrum, ranging from opportunistic resources deployed on Cloud Instances [2], nodes available on high-performance computing (HPC) systems [3], to extensions within data centers [4]. These works have enabled access for the HEP community to new sets of computing resources, while keeping unaltered the standard WLCG [5] Grid paradigm adopted to access them.…”

Section: Introductionmentioning

confidence: 99%

Enabling INFN–T1 to support heterogeneous computing architectures

Dal Pra,

Spiga,

Boccali

et al. 2024

EPJ Web of Conf.

View full text Add to dashboard Cite

The INFN–CNAF Tier-1 located in Bologna (Italy) is a center of the WLCG e-Infrastructure providing computing power to the four major LHC collaborations and also supports the computing needs of about fifty more groups - also from non HEP research domains. The CNAF Tier1 center has been historically very active putting effort in the integration of computing resources, proposing and prototyping solutions both for extension through Cloud resources, public and private, and with remotely owned sites, as well as developing an integrated HTC+HPC system with the PRACE CINECA supercomputer center located 8Km far from the CNAF Tier-1 located in Bologna. In order to meet the requirements for the new Tecnopolo center, where the CNAF Tier-1 will be hosted, the resource integration activities keep progressing. In particular, this contribution will detail the challenges that have recently been addressed, providing opportunistic access to non standard CPU architectures, such as PowerPC and hardware accelerators (GPUs). We explain the approach adopted to both transparently provision x86_64, ppc64le and NVIDIA V100 GPUs from the Marconi 100 HPC cluster managed by CINECA and to access data from the Tier1 storage system at CNAF. The solution adopted is general enough to enable seamless integration of other computing architectures at the same time from different providers, such as ARM CPUs from the TEXTAROSSA project, and we report about the integration of these within the computing model of the CMS experiment. Finally we will discuss the results of the early experience.

show abstract

Enabling HPC systems for HEP: the INFN-CINECA Experience

Cited by 2 publications

References 9 publications

Large Scale Data Handling experience at INFN-CNAF Data Center

Large Scale Data Handling experience at INFN-CNAF Data Center

Enabling INFN–T1 to support heterogeneous computing architectures

Contact Info

Product

Resources

About