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相关论文: HEP Applications on the Grid Canada Testbed

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Experiments like ATLAS at LHC involve a scale of computing and data management that greatly exceeds the capability of existing systems, making it necessary to resort to Grid-based Parallel Event Processing Systems (GEPS). Traditional Grid…

分布式、并行与集群计算 · 计算机科学 2007-05-23 Antonio Amorim , Luis Pedro , Han Fei , Nuno Almeida , Paulo Trezentos , Jaime E. Villate

The ATLAS experiment at CERN relies on a worldwide distributed computing Grid infrastructure to support its physics program at the Large Hadron Collider. ATLAS has integrated cloud computing resources to complement its Grid infrastructure…

Grids allow users flexible on-demand usage of computing resources through remote communication networks. A remarkable example of a Grid in High Energy Physics (HEP) research is used in the ALICE experiment at European Organization for…

分布式、并行与集群计算 · 计算机科学 2017-04-21 Andres Gomez , Camilo Lara , Udo Kebschull

Monte Carlo simulations play a crucial role in all stages of particle collider experiments. There has been a long-term trend in HEP of both increasing collision energies and the luminosity. As a result, the requirements for MC simulations…

分布式、并行与集群计算 · 计算机科学 2023-04-27 Felix Hoffmann , Udo Kebschull

High Energy Physics (HEP) experiments are making increasing use of GPUs and GPU dominated High Performance Computer facilities. Both the software and hardware of these systems are rapidly evolving, creating challenges for experiments to…

高能物理 - 实验 · 物理学 2025-05-15 Mohammad Atif , Pengfei Ding , Ka Hei Martin Kwok , Charles Leggett

WorldGRID is an intercontinental testbed spanning Europe and the US integrating architecturally different Grid implementations based on the Globus toolkit. The WorldGRID testbed has been successfully demonstrated during the WorldGRID demos…

分布式、并行与集群计算 · 计算机科学 2007-05-23 S. Andreozzi , S. Fantinel , D. Rebatto , L. Vaccarossa , G. Tortone

Recently, a number of cloud platforms and services have been developed for data intensive computing, including Hadoop, Sector, CloudStore (formerly KFS), HBase, and Thrift. In order to benchmark the performance of these systems, to…

分布式、并行与集群计算 · 计算机科学 2009-07-29 Robert Grossman , Yunhong Gu , Michal Sabala , Collin Bennet , Jonathan Seidman , Joe Mambratti

This paper examines how a "Distributed Heterogeneous Relational Data Warehouse" can be integrated in a Grid environment that will provide physicists with efficient access to large and small object collections drawn from databases at…

分布式、并行与集群计算 · 计算机科学 2016-08-31 Saima Iqbal , Julian J. Bunn , Harvey B. Newman

HEP Cluster is designed and implemented in Scientific Linux Cern 5.5 to grant High Energy Physics researchers one place where they can go to undertake a particular task or to provide a parallel processing architecture in which CPU resources…

分布式、并行与集群计算 · 计算机科学 2012-10-30 Vivek Chalotra , Anju Bhasin , Anik Gupta , Sanjeev Singh Sambyal

Optimising use of the Web (WWW) for LHC data analysis is a complex problem and illustrates the challenges arising from the integration of and computation across massive amounts of information distributed worldwide. Finding the right piece…

仪器与探测器 · 物理学 2014-11-18 Nigel Baker , Peter Brooks , Richard McClatchey , Zsolt Kovacs , Jean-Marie Le Goff

The HENP computing facility at Brookhaven National Laboratory supports both the Relativistic Heavy Ion Collider (RHIC) and US involvement in the ATLAS LHC experiment. The facility includes 150 TBytes of centralized online (disk) storage,…

计算物理 · 物理学 2007-05-23 Maurice Askinazi , David Free , Bruce Gibbard , Thomas Throwe

This document gives an overview of a Grid testbed architecture proposal for the NorduGrid project. The aim of the project is to establish an inter-Nordic testbed facility for implementation of wide area computing and data handling. The…

分布式、并行与集群计算 · 计算机科学 2007-05-23 A. Waananen , M. Ellert , A. Konstantinov , B. Konya , O. Smirnova

To extract physics results from the recorded data, the LHC experiments are using Grid computing infrastructure. The event data processing on the Grid requires scalable access to non-event data (detector conditions, calibrations, etc.)…

数据库 · 计算机科学 2010-07-13 A. V. Vaniachine

High-energy physics (HEP) provides ever-growing amount of data. To analyse these, continuously-evolving computational power is required in parallel by extending the storage capacity. Such developments play key roles in the future of this…

分布式、并行与集群计算 · 计算机科学 2023-03-10 Gábor Bíró , Gergely Gábor Barnaföldi , Péter Lévai

The notion of grid computing has gained an increasing popularity recently as a realistic solution to many of our large-scale data storage and processing needs. It enables the sharing, selection and aggregation of resources geographically…

分布式、并行与集群计算 · 计算机科学 2007-05-23 Hussein Gibbins , Rajkumar Buyya

The goals of reducing energy costs, shifting electricity peaks, increasing the use of renewable energy, and enhancing the stability of the electric grid can be met in part by fully exploiting the energy flexibility potential of buildings…

Wider adoption of the Grid concept has led to an increasing amount of federated computational, storage and visualisation resources being available to scientists and researchers. Distributed and heterogeneous nature of these resources…

分布式、并行与集群计算 · 计算机科学 2007-11-05 Aleksandar Lazarevic , Lionel Sacks , Ognjen Prnjat

The next generation of scientific experiments and studies, popularly called as e-Science, is carried out by large collaborations of researchers distributed around the world engaged in analysis of huge collections of data generated by…

分布式、并行与集群计算 · 计算机科学 2007-05-23 Srikumar Venugopal , Rajkumar Buyya , Lyle Winton

Starting in the middle of November 2002, the CMS experiment undertook an evaluation of the European DataGrid Project (EDG) middleware using its event simulation programs. A joint CMS-EDG task force performed a "stress test" by submitting a…

HEP data-processing software must support the disparate physics needs of many experiments. For both collider and neutrino environments, HEP experiments typically use data-processing frameworks to manage the computational complexities of…

分布式、并行与集群计算 · 计算机科学 2022-03-29 Christopher D. Jones , Kyle Knoepfel , Paolo Calafiura , Charles Leggett , Vakhtang Tsulaia