Automated Calibration of a Simulator of MPI Application Executions

The traditional approach for assessing the performance of scientific applications on HPC platforms consists in executing these applications on these platforms. But conducting these real-world experiments comes with several difficulties. Besides being often time-, labor-, and resource-intensive, experiments are limited to application and platform configurations at hand, thus precluding the exploration of "what if?" scenarios. A way to resolve these difficulties is to resort to simulation. The main concern, then, is that of simulation accuracy. For a simulation to be accurate, the parameters that define the behavior of the simulation models can be calibrated with respect to ground-truth executions. Simulation calibration, in the current state of the art, relies, at best, on labor-intensive manual procedures. We propose an automated simulation calibration approach, and apply this approach to the specific context of the simulation of MPI applications on leadership class HPC platforms. This poster will motivate the development of this approach and detail our methodology and results.

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Publication Details

Published
2024-09-16
DOI
https://doi.org/10.1109/e-science62913.2024.10678714
Primary Topic
Distributed and Parallel Computing Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

Automated Calibration of a Simulator of MPI Application Executions

Henri Casanova, Yick Ching Wong, Jesse McDonald, Frédéric Suter et al.
Distributed and Parallel Computing Systems
article

Automated Calibration of a Simulator of MPI Application Executions

Henri Casanova, Yick Ching Wong, Jesse McDonald, Frédéric Suter, Kshitij Mehta
article en

Abstract

The traditional approach for assessing the performance of scientific applications on HPC platforms consists in executing these applications on these platforms. But conducting these real-world experiments comes with several difficulties. Besides being often time-, labor-, and resource-intensive, experiments are limited to application and platform configurations at hand, thus precluding the exploration of "what if?" scenarios. A way to resolve these difficulties is to resort to simulation. The main concern, then, is that of simulation accuracy. For a simulation to be accurate, the parameters that define the behavior of the simulation models can be calibrated with respect to ground-truth executions. Simulation calibration, in the current state of the art, relies, at best, on labor-intensive manual procedures. We propose an automated simulation calibration approach, and apply this approach to the specific context of the simulation of MPI applications on leadership class HPC platforms. This poster will motivate the development of this approach and detail our methodology and results.

Oak Ridge National Laboratory (US), University of Hawaii System (US)
UT-Battelle
Openalex Percentile: Top 83%
Distributed and Parallel Computing Systems
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Automated Calibration of a Simulator of MPI Application Executions — Henri Casanova, Yick Ching Wong, et al. · (2024) | TGRS Research Map | TGRS