Virtualizing the Stampede2 Supercomputer with Applications to HPC in the Cloud
| Autor: | Anagha Jamthe, Joseph Stubbs, Richard Cardone, W. Cyrus Proctor, Mike Packard |
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| Rok vydání: | 2018 |
| Předmět: |
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FOS: Computer and information sciences Computer science business.industry 020206 networking & telecommunications Cloud computing 02 engineering and technology computer.software_genre Virtualization Supercomputer 01 natural sciences Turnaround time Application profile 010305 fluids & plasmas Software Computer Science - Distributed Parallel and Cluster Computing 0103 physical sciences 0202 electrical engineering electronic engineering information engineering Operating system Distributed Parallel and Cluster Computing (cs.DC) Web service business computer |
| Zdroj: | PEARC |
| DOI: | 10.48550/arxiv.1807.04616 |
| Popis: | Methods developed at the Texas Advanced Computing Center (TACC) are described and demonstrated for automating the construction of an elastic, virtual cluster emulating the Stampede2 high performance computing (HPC) system. The cluster can be built and/or scaled in a matter of minutes on the Jetstream self-service cloud system and shares many properties of the original Stampede2, including: i) common identity management, ii) access to the same file systems, iii) equivalent software application stack and module system, iv) similar job scheduling interface via Slurm. We measure time-to-solution for a number of common scientific applications on our virtual cluster against equivalent runs on Stampede2 and develop an application profile where performance is similar or otherwise acceptable. For such applications, the virtual cluster provides an effective form of "cloud bursting" with the potential to significantly improve overall turnaround time, particularly when Stampede2 is experiencing long queue wait times. In addition, the virtual cluster can be used for test and debug without directly impacting Stampede2. We conclude with a discussion of how science gateways can leverage the TACC Jobs API web service to incorporate this cloud bursting technique transparently to the end user. Comment: 6 pages, 0 figures, PEARC '18: Practice and Experience in Advanced Research Computing, July 22--26, 2018, Pittsburgh, PA, USA |
| Databáze: | OpenAIRE |
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