Parallel Application Power and Performance Prediction Modeling Using Simulation

• Published in: Proceedings - Winter Simulation Conference pp. 1 - 12
• Main Authors: Ahmed, Kishwar, Yoshii, Kazutomo, Tasnim, Samia
• Format: Conference Proceeding
• Language: English
• Published: IEEE 12.12.2021
• Subjects: Computational modeling; Computer architecture; Data models; Heterogeneous networks; Power measurement; Predictive models; Processor scheduling
• ISSN: 1558-4305
• DOI: 10.1109/WSC52266.2021.9715340

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.