Simulation-based Performance Analysis and Tuning for a Two-level Directly Connected System

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Hardware and software co-design is becoming increasingly important due to complexities in supercomputing architectures. Simulating applications before there is access to the real hardware can assist machine architects in making better design decisions that can optimize application performance. At the same time, the application and runtime can be optimized and tuned beforehand. BigSim is a simulation-based performance prediction framework designed for these purposes. It can be used to perform packet-level network simulations of parallel applications using existing parallel machines. In this paper, we demonstrate the utility of BigSim in analyzing and optimizing parallel application performance for future systems based on ... continued below

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Totoni, E; Bhatele, A; Bohm, E J; Jain, N; Mendes, C L; Mokos, R M et al. September 19, 2011.

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Hardware and software co-design is becoming increasingly important due to complexities in supercomputing architectures. Simulating applications before there is access to the real hardware can assist machine architects in making better design decisions that can optimize application performance. At the same time, the application and runtime can be optimized and tuned beforehand. BigSim is a simulation-based performance prediction framework designed for these purposes. It can be used to perform packet-level network simulations of parallel applications using existing parallel machines. In this paper, we demonstrate the utility of BigSim in analyzing and optimizing parallel application performance for future systems based on the PERCS network. We present simulation studies using benchmarks and real applications expected to run on future supercomputers. Future petascale systems will have more than 100,000 cores, and we present simulations at that scale.

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  • Presented at: The 17th IEEE International Conference on Parallel and Distributed Systems, Tainan, Taiwan, Dec 07 - Dec 09, 2011

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  • Report No.: LLNL-CONF-500821
  • Grant Number: W-7405-ENG-48
  • Office of Scientific & Technical Information Report Number: 1035952
  • Archival Resource Key: ark:/67531/metadc833337

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  • September 19, 2011

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  • May 19, 2016, 3:16 p.m.

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  • Dec. 1, 2016, 8:18 p.m.

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Totoni, E; Bhatele, A; Bohm, E J; Jain, N; Mendes, C L; Mokos, R M et al. Simulation-based Performance Analysis and Tuning for a Two-level Directly Connected System, article, September 19, 2011; Livermore, California. (digital.library.unt.edu/ark:/67531/metadc833337/: accessed October 16, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.