ABSTRACT
The Stampede 1 supercomputer was a tremendous success as an XSEDE resource, providing more than eight million successful computational simulations and data analysis jobs to more than ten thousand users. In addition, Stampede 1 introduced new technology that began to move users towards many core processors. As Stampede 1 reaches the end of its production life, it is being replaced in phases by a new supercomputer, Stampede 2, that will not only take up much of the original system's workload, but continue the bridge to technologies on the path to exascale computing. This paper provides a brief summary of the experiences of Stampede 1, and details the design and architecture of Stampede 2. Early results are presented from a subset of Intel Knights Landing nodes that are bridging between the two systems.
- NSF Cyberinfrastructure Council. National Science Foundation, January 20, 2006, http://www.nsf.gov/od/oci/ci_v5.pdf.Google Scholar
- John Towns et al, "XSEDE: Accelerating Scientific Discovery", Computing in Science & Engineering, vol.16, no. 5, pp. 62--74, Sept.-Oct. 2014.Google Scholar
- Community Input on the Future of High Performance Computing, NSF Workshop Report, December 2009.Google Scholar
- J. T. Oden, O. Ghattas, et al., Cyber Science and Engineering: A Report of the NSF Advisory Committee for Cyberinfrastructure Task Force on Grand Challenges, National Science Foundation, 2011 (to appear).Google Scholar
- J. Decker, et al., Exascale Workshop Panel Meeting Report, Department of Energy, January 19-20, 2010.Google Scholar
- Committee on the Potential Impact of High-End Computing on Illustrative Fields of Science and Engineering, The Potential Impact of High-End Capability Computing on Four Illustrative Fields of Science and Engineering, National Research Council, 2008.Google Scholar
- S. Glotzer, S. Kim, et al., International Assessment of Research and Development in Simulation-based Engineering and Science, World Technology Evaluation Center (WTEC) Panel Report, January 2009.Google Scholar
- R. Babich, M.A. Clark, B. Joó, "Parallelizing the QUDA Library for Multi-GPU Calculations in Lattice Quantum Chromodynamics", Proceedings of SC10, ACM/IEEE, New Orleans, LA, 2010. Google ScholarDigital Library
- Heinecke, Barth, et al. 2014. Petascale high order dynamic rupture earthquake simulations on heterogeneous supercomputers. In Proceedings of SC14. IEEE Press, Piscataway, NJ, USA, 3--14. Google ScholarDigital Library
- NSF Advisory Committee for Cyberinfrastructure Task Force on Grand Challenges. Final Report. March 2011.Google Scholar
- Intel® Xeon Processor E5 Family, http://www.intel.com/content/www/us/en/processors/xeon/xeon-processor-e5-family.htmlGoogle Scholar
- Council on Competitiveness. "The Exascale Effect: the Benefits of Supercomputing Investment for U.S. Industry." October 2014.Google Scholar
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