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HPC in a HEP lab: lessons learned from setting up cost-effective HPC clusters

In this paper we present our findings gathered during the evaluation and testing of Windows Server High-Performance Computing (Windows HPC) in view of potentially using it as a production HPC system for engineering applications. The Windows HPC package, an extension of Microsofts Windows Server prod...

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Autores principales: Husejko, Michal, Agtzidis, Ioannis, Baehler, Pierre, Dul, Tadeusz, Evans, John, Himyr, Nils, Meinhard, Helge
Lenguaje:eng
Publicado: 2015
Materias:
Acceso en línea:https://dx.doi.org/10.1088/1742-6596/664/9/092012
http://cds.cern.ch/record/2134647
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author Husejko, Michal
Agtzidis, Ioannis
Baehler, Pierre
Dul, Tadeusz
Evans, John
Himyr, Nils
Meinhard, Helge
author_facet Husejko, Michal
Agtzidis, Ioannis
Baehler, Pierre
Dul, Tadeusz
Evans, John
Himyr, Nils
Meinhard, Helge
author_sort Husejko, Michal
collection CERN
description In this paper we present our findings gathered during the evaluation and testing of Windows Server High-Performance Computing (Windows HPC) in view of potentially using it as a production HPC system for engineering applications. The Windows HPC package, an extension of Microsofts Windows Server product, provides all essential interfaces, utilities and management functionality for creating, operating and monitoring a Windows-based HPC cluster infrastructure. The evaluation and test phase was focused on verifying the functionalities of Windows HPC, its performance, support of commercial tools and the integration with the users work environment.We describe constraints imposed by the way the CERN Data Centre is operated, licensing for engineering tools and scalability and behaviour of the HPC engineering applications used at CERN. We will present an initial set of requirements, which were created based on the above constraints and requests from the CERN engineering user community. We will explain how we have configured Windows HPC clusters to provide job scheduling functionalities required to support the CERN engineering user community, quality of service, user- and project-based priorities, and fair access to limited resources. Finally, we will present several performance tests we carried out to verify Windows HPC performance and scalability.
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language eng
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spelling oai-inspirehep.net-14140882022-08-10T13:01:07Zdoi:10.1088/1742-6596/664/9/092012http://cds.cern.ch/record/2134647engHusejko, MichalAgtzidis, IoannisBaehler, PierreDul, TadeuszEvans, JohnHimyr, NilsMeinhard, HelgeHPC in a HEP lab: lessons learned from setting up cost-effective HPC clustersComputing and ComputersIn this paper we present our findings gathered during the evaluation and testing of Windows Server High-Performance Computing (Windows HPC) in view of potentially using it as a production HPC system for engineering applications. The Windows HPC package, an extension of Microsofts Windows Server product, provides all essential interfaces, utilities and management functionality for creating, operating and monitoring a Windows-based HPC cluster infrastructure. The evaluation and test phase was focused on verifying the functionalities of Windows HPC, its performance, support of commercial tools and the integration with the users work environment.We describe constraints imposed by the way the CERN Data Centre is operated, licensing for engineering tools and scalability and behaviour of the HPC engineering applications used at CERN. We will present an initial set of requirements, which were created based on the above constraints and requests from the CERN engineering user community. We will explain how we have configured Windows HPC clusters to provide job scheduling functionalities required to support the CERN engineering user community, quality of service, user- and project-based priorities, and fair access to limited resources. Finally, we will present several performance tests we carried out to verify Windows HPC performance and scalability.oai:inspirehep.net:14140882015
spellingShingle Computing and Computers
Husejko, Michal
Agtzidis, Ioannis
Baehler, Pierre
Dul, Tadeusz
Evans, John
Himyr, Nils
Meinhard, Helge
HPC in a HEP lab: lessons learned from setting up cost-effective HPC clusters
title HPC in a HEP lab: lessons learned from setting up cost-effective HPC clusters
title_full HPC in a HEP lab: lessons learned from setting up cost-effective HPC clusters
title_fullStr HPC in a HEP lab: lessons learned from setting up cost-effective HPC clusters
title_full_unstemmed HPC in a HEP lab: lessons learned from setting up cost-effective HPC clusters
title_short HPC in a HEP lab: lessons learned from setting up cost-effective HPC clusters
title_sort hpc in a hep lab: lessons learned from setting up cost-effective hpc clusters
topic Computing and Computers
url https://dx.doi.org/10.1088/1742-6596/664/9/092012
http://cds.cern.ch/record/2134647
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