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Usage Pattern Analysis for the Summit Login Nodes...

by Brett C Eiffert, Chen Zhang
Publication Type
Conference Paper
Book Title
Accelerating Science and Engineering Discoveries Through Integrated Research Infrastructure for Experiment, Big Data, Modeling and Simulation
Publication Date
Page Numbers
329 to 344
Volume
1690
Issue
CCIS
Publisher Location
Cham, Switzerland
Conference Name
Smoky Mountains Computational Sciences and Engineering Conference 2022 (SMC)
Conference Location
Remote, Tennessee, United States of America
Conference Sponsor
Oak Ridge National Laboratory
Conference Date
-

High performance computing (HPC) users interact with Summit through dedicated gateways, also known as login nodes. The performance and stability of these login nodes can have a significant impact on the user experience. In this study, the performance and stability of Summit’s five login nodes are evaluated by analyzing the log data from 2020 and 2021. The analysis focuses on the computing capability (CPU average load, users and tasks) and the storage performance, along with the associated job scheduler activity. The outcome of this study can serve as the foundation of a predictive modeling framework that enables the system admin of an HPC system to preemptively deploy countermeasures before the onset of a system failure.