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Exploitation of network-segregated CPU resources in CMS
CMS is tackling the exploitation of CPU resources at HPC centers where compute nodes do not have network connectivity to the Internet. Pilot agents and payload jobs need to interact with external services from the compute nodes access to the application software (cmvfs) and conditions data (Frontie...
Autores principales: | , , , , , , |
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Lenguaje: | eng |
Publicado: |
2021
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1051/epjconf/202125102020 http://cds.cern.ch/record/2797500 |
_version_ | 1780972395502239744 |
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author | Acosta-Silva, C Peris, A Delgado Flix, J Frey, J Hernández, J M Pérez-Calero Yzquierdo, A Tannenbaum, T |
author_facet | Acosta-Silva, C Peris, A Delgado Flix, J Frey, J Hernández, J M Pérez-Calero Yzquierdo, A Tannenbaum, T |
author_sort | Acosta-Silva, C |
collection | CERN |
description | CMS is tackling the exploitation of CPU resources at HPC centers where compute nodes do not have network connectivity to the Internet. Pilot agents and payload jobs need to interact with external services from the compute nodes access to the application software (cmvfs) and conditions data (Frontier), management of input and output data files (data management services), and job management (HTCondor). Finding an alternative route to these services is challenging. Seamless integration in the CMS production system without causing any operational overhead is a key goal.We describe in this paper the solutions developed within CMS to overcome the restrictions imposed by network-segregated compute nodes. The Barcelona Supercomputing Center (BSC) in Spain has been used as a testbed for the integration in production of this kind of resource. Singularity containers with application software releases are built and pre-placed in the HPC shared file system together with conditions data files. HTCondor has been extended to relay communications between running pilot jobs and HTCondor daemons through the HPC shared file system. This operation mode also allows piping input and output data files through the HPC file system. Results, issues encountered during the integration process, and remaining concerns are discussed in this report. |
id | cern-2797500 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2021 |
record_format | invenio |
spelling | cern-27975002022-08-23T08:59:02Zdoi:10.1051/epjconf/202125102020http://cds.cern.ch/record/2797500engAcosta-Silva, CPeris, A DelgadoFlix, JFrey, JHernández, J MPérez-Calero Yzquierdo, ATannenbaum, TExploitation of network-segregated CPU resources in CMSDetectors and Experimental TechniquesComputing and ComputersCMS is tackling the exploitation of CPU resources at HPC centers where compute nodes do not have network connectivity to the Internet. Pilot agents and payload jobs need to interact with external services from the compute nodes access to the application software (cmvfs) and conditions data (Frontier), management of input and output data files (data management services), and job management (HTCondor). Finding an alternative route to these services is challenging. Seamless integration in the CMS production system without causing any operational overhead is a key goal.We describe in this paper the solutions developed within CMS to overcome the restrictions imposed by network-segregated compute nodes. The Barcelona Supercomputing Center (BSC) in Spain has been used as a testbed for the integration in production of this kind of resource. Singularity containers with application software releases are built and pre-placed in the HPC shared file system together with conditions data files. HTCondor has been extended to relay communications between running pilot jobs and HTCondor daemons through the HPC shared file system. This operation mode also allows piping input and output data files through the HPC file system. Results, issues encountered during the integration process, and remaining concerns are discussed in this report.CMS is tackling the exploitation of CPU resources at HPC centers where compute nodes do not have network connectivity to the Internet. Pilot agents and payload jobs need to interact with external services from the compute nodes: access to the application software (CernVM-FS) and conditions data (Frontier), management of input and output data files (data management services), and job management (HTCondor). Finding an alternative route to these services is challenging. Seamless integration in the CMS production system without causing any operational overhead is a key goal. The case of the Barcelona Supercomputing Center (BSC), in Spain, is particularly challenging, due to its especially restrictive network setup. We describe in this paper the solutions developed within CMS to overcome these restrictions, and integrate this resource in production. Singularity containers with application software releases are built and pre-placed in the HPC facility shared file system, together with conditions data files. HTCondor has been extended to relay communications between running pilot jobs and HTCondor daemons through the HPC shared file system. This operation mode also allows piping input and output data files through the HPC file system. Results, issues encountered during the integration process, and remaining concerns are discussed.CMS-CR-2021-017oai:cds.cern.ch:27975002021-02-19 |
spellingShingle | Detectors and Experimental Techniques Computing and Computers Acosta-Silva, C Peris, A Delgado Flix, J Frey, J Hernández, J M Pérez-Calero Yzquierdo, A Tannenbaum, T Exploitation of network-segregated CPU resources in CMS |
title | Exploitation of network-segregated CPU resources in CMS |
title_full | Exploitation of network-segregated CPU resources in CMS |
title_fullStr | Exploitation of network-segregated CPU resources in CMS |
title_full_unstemmed | Exploitation of network-segregated CPU resources in CMS |
title_short | Exploitation of network-segregated CPU resources in CMS |
title_sort | exploitation of network-segregated cpu resources in cms |
topic | Detectors and Experimental Techniques Computing and Computers |
url | https://dx.doi.org/10.1051/epjconf/202125102020 http://cds.cern.ch/record/2797500 |
work_keys_str_mv | AT acostasilvac exploitationofnetworksegregatedcpuresourcesincms AT perisadelgado exploitationofnetworksegregatedcpuresourcesincms AT flixj exploitationofnetworksegregatedcpuresourcesincms AT freyj exploitationofnetworksegregatedcpuresourcesincms AT hernandezjm exploitationofnetworksegregatedcpuresourcesincms AT perezcaleroyzquierdoa exploitationofnetworksegregatedcpuresourcesincms AT tannenbaumt exploitationofnetworksegregatedcpuresourcesincms |