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  1. Free, publicly-accessible full text available June 20, 2023
  2. Kim, S. ; Feng, B. ; Smith, K. ; Masoud, S. ; Zheng, Z. ; Szabo, C. ; Loper, M. (Ed.)
    High performance computing (HPC) system runs compute-intensive parallel applications requiring large number of nodes. An HPC system consists of heterogeneous computer architecture nodes, including CPUs, GPUs, field programmable gate arrays (FPGAs), etc. Power capping is a method to improve parallel application performance subject to variable power constraints. In this paper, we propose a parallel application power and performance prediction simulator. We present prediction model to predict application power and performance for unknown power-capping values considering heterogeneous computing architecture. We develop a job scheduling simulator based on parallel discrete-event simulation engine. The simulator includes a power and performance prediction model, as well as a resource allocation model. Based on real-life measurements and trace data, we show the applicability of our proposed prediction model and simulator.
  3. Free, publicly-accessible full text available May 1, 2023