Name
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 re-source. 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. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/eScience.2017.43 | 2017 IEEE 13th International Conference on e-Science (e-Science) |
Keywords | Field | DocType |
high-performance and throughput computing | Large Hadron Collider,Executor,High-throughput computing,Computer science,Server,Computing systems,Scalability,Distributed computing | Conference |
ISSN | ISBN | Citations |
2325-372X | 978-1-5386-2687-0 | 3 |
PageRank | References | Authors |
0.49 | 2 | 9 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Danila Oleynik | 1 | 3 | 0.82 |
| S. Panitkin | 2 | 5 | 1.90 |
| Matteo Turilli | 3 | 84 | 16.21 |
| Alessio Angius | 4 | 3 | 0.49 |
| Sarp H. Oral | 5 | 3 | 1.16 |
| Kaushik De | 6 | 171 | 23.99 |
| A. Klimentov | 7 | 5 | 2.57 |
| Jack C. Wells | 8 | 15 | 4.24 |
| Shantenu Jha | 9 | 188 | 32.40 |