GridPP

GridPP is a collaboration of particle physics departments from University of Oxford, University of Cambridge, and University of Edinburgh, among others, aiming to develop and exploit Grid computing for High Energy Physics (HEP) applications, such as Large Hadron Collider (LHC) experiments like ATLAS experiment and CMS experiment. The project involves CERN, Fermilab, and other international partners, including DESY and INFN. GridPP's primary goal is to provide a robust and scalable computing infrastructure for the analysis of large datasets generated by particle accelerators like the LHC at CERN, which also involves European Organization for Nuclear Research and Institute of Physics.

Introduction

GridPP's introduction to the High Energy Physics community was marked by its participation in the European Grid Initiative (EGI) and the Open Science Grid (OSG), which also involved NASA, NSF, and DOE. The project's infrastructure is designed to support the Worldwide LHC Computing Grid (WLCG), a global collaboration of computing centers and research institutions, including California Institute of Technology, Massachusetts Institute of Technology, and Stanford University. GridPP's computing resources are also used by other scientific communities, such as astronomy and biomedicine, which involve National Institutes of Health and European Space Agency. The project's success has been recognized by the UK Research Councils, including the Science and Technology Facilities Council (STFC) and the Engineering and Physical Sciences Research Council (EPSRC), which have provided funding for GridPP's activities, along with European Commission and National Science Foundation.

History

The history of GridPP dates back to 2001, when the project was established as a collaboration between UK universities and research institutions, including University of Manchester, University of Birmingham, and University of Glasgow. The project's early development was influenced by the European Union's FP5 and FP6 programs, which also involved European Commission and CERN. GridPP's growth was further accelerated by the LHC's startup in 2008, which required significant computing resources for data analysis, involving Brookhaven National Laboratory, Argonne National Laboratory, and Lawrence Berkeley National Laboratory. The project has since become a key player in the WLCG, working closely with other grid computing initiatives, such as the EGI and the OSG, which also involve NASA, NSF, and DOE.

Architecture

GridPP's architecture is based on a distributed computing model, which allows researchers to access and analyze large datasets stored at various computing centers across the UK and Europe, including CERN, DESY, and INFN. The project's infrastructure includes a network of cluster computing systems, storage systems, and networks, which are connected to the WLCG and other grid computing infrastructures, such as EGI and OSG. GridPP's architecture is designed to support a range of scientific applications, including simulation software like GEANT4 and data analysis frameworks like ROOT, which are used by ATLAS experiment and CMS experiment. The project's computing resources are managed using batch scheduling systems like HTCondor and Torque, which are also used by NASA, NSF, and DOE.

Applications

GridPP's applications are diverse and include High Energy Physics experiments like ATLAS experiment and CMS experiment, as well as astronomy and biomedicine research, which involve National Institutes of Health and European Space Agency. The project's computing resources are used for simulations, data analysis, and visualizations, which require significant computing power and storage capacity, provided by CERN, Fermilab, and other international partners. GridPP's infrastructure supports a range of scientific software packages, including GEANT4, ROOT, and MadGraph, which are used by LHC experiments and other particle physics research, involving Brookhaven National Laboratory, Argonne National Laboratory, and Lawrence Berkeley National Laboratory. The project's applications also include machine learning and artificial intelligence techniques, which are being developed in collaboration with University of Cambridge, University of Oxford, and University of Edinburgh.

Operations

GridPP's operations are managed by a team of system administrators and support staff, who are responsible for maintaining the project's computing infrastructure, including cluster computing systems, storage systems, and networks. The project's operations are also supported by a range of tools and services, including monitoring systems like Ganglia and Nagios, which are used by CERN, DESY, and INFN. GridPP's operations are coordinated with other WLCG partners, including CERN, Fermilab, and DESY, to ensure seamless access to computing resources and data management services, provided by European Organization for Nuclear Research and Institute of Physics. The project's operations are also influenced by the UK Research Councils, including the STFC and the EPSRC, which provide funding for GridPP's activities, along with European Commission and National Science Foundation.

Collaborations

GridPP collaborates with a range of international partners, including CERN, Fermilab, and DESY, to develop and operate the WLCG infrastructure, which involves NASA, NSF, and DOE. The project also collaborates with other grid computing initiatives, such as the EGI and the OSG, to share best practices and technical expertise, involving University of Cambridge, University of Oxford, and University of Edinburgh. GridPP's collaborations extend to the industry sector, where the project works with companies like IBM, HP, and Intel to develop and deploy grid computing technologies, which are used by Brookhaven National Laboratory, Argonne National Laboratory, and Lawrence Berkeley National Laboratory. The project's collaborations also involve academic institutions, such as University of Manchester, University of Birmingham, and University of Glasgow, which are part of the UK Research Councils and the European Commission. Category:Grid computing