High-Throughput Computing on High-Performance Platforms: A Case Study

Danila Oleynik; Sergey Panitkin; Matteo Turilli; Alessio Angius; Kaushik De; Alexei Klimentov; Sarp H. Oral; Jack C. Wells; Shantenu Jha

arXiv · 1704.00978

High-Throughput Computing on High-Performance Platforms: A Case Study

Danila Oleynik·Sergey Panitkin·Matteo Turilli·Alessio Angius·Kaushik De·Alexei Klimentov·Sarp H. Oral·Jack C. Wells·Shantenu Jha

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Abstract

The computing systems used by LHC experiments has historically consisted of the federation of hundreds to thousands of distributed resources, ranging from small to mid-size resource. In spite of the impressive scale of the existing distributed computing solutions, the federation of small to mid-size resources will be insufficient to meet projected future demands. This paper is a case study of how the ATLAS experiment has embraced Titan---a DOE leadership facility in conjunction with traditional distributed high- throughput computing to reach sustained production scales of approximately 52M core-hours a years. The three main contributions of this paper are: (i) a critical evaluation of design and operational considerations to support the sustained, scalable and production usage of Titan; (ii) a preliminary characterization of a next generation executor for PanDA to support new workloads and advanced execution modes; and (iii) early lessons for how current and future experimental and observational systems can be integrated with production supercomputers and other platforms in a general and extensible manner.

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Danila Oleynik, Sergey Panitkin, Matteo Turilli, Alessio Angius, Kaushik De, Alexei Klimentov, Sarp H. Oral, Jack C. Wells, Shantenu Jha. 2017-04-04. High-Throughput Computing on High-Performance Platforms: A Case Study. https://arxiv.org/abs/1704.00978

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