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Found 5 papers, 1 papers with code
Correlation-wise Smoothing: Lightweight Knowledge Extraction for HPC Monitoring Data
Modern High-Performance Computing (HPC) and data center operators rely more and more on data analytics techniques to improve the efficiency and reliability of their operations.
A Machine Learning Approach to Online Fault Classification in HPC Systems
We introduce a high-level, easy-to-use fault injection tool called FINJ, with a focus on the management of complex experiments.
DCDB Wintermute: Enabling Online and Holistic Operational Data Analytics on HPC Systems
However, while monitoring is a common reality in HPC, there is no well-stated and comprehensive list of requirements, nor matching frameworks, to support holistic and online ODA.
Online Fault Classification in HPC Systems through Machine Learning
As High-Performance Computing (HPC) systems strive towards the exascale goal, studies suggest that they will experience excessive failure rates.
Distributed, Parallel, and Cluster Computing
FINJ: A Fault Injection Tool for HPC Systems
We present FINJ, a high-level fault injection tool for High-Performance Computing (HPC) systems, with a focus on the management of complex experiments.
Distributed, Parallel, and Cluster Computing
