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Replication Data for: Analyzing HPC Monitoring Data With a View Towards Efficient Resource Utilization
Replication Data for: Analyzing HPC Monitoring Data With a View Towards Efficient Resource Utilization
Nov 29, 2024 - System Performance Metrics
Maloney, Samuel; Suarez, Estela; Eicker, Norbert; Guimarães, Filipe; Frings, Wolfgang, 2024, "Replication Data for: Analyzing HPC Monitoring Data With a View Towards Efficient Resource Utilization", https://doi.org/10.26165/JUELICH-DATA/BDFBPQ, Jülich DATA, V1
Replication Data for the analysis described in the IEEE/SBC SBAC-PAD 2024 paper "Analyzing HPC Monitoring Data With a View Towards Efficient Resource Utilization". Specifically, it contains the data and Python scripts used to generate Figures 2 through 9 in the paper, by computin...
booster_data.parquet
Unknown - 3.0 MB - SHA-256: f832fdbda07d830e38d899891d6480df5f2a56845f8768adcd39ddef68162639
booster_data.parquet
Unknown - 3.2 MB - SHA-256: 2a004d4aeaec7abf21b0a422022207232dd637514eb8388852b3945d046be64f
cluster_data.parquet
Unknown - 4.2 MB - SHA-256: 587edc51ad2727040caff335916551d2137dad93fd333818035e6f33a613eb07
cluster_data.parquet
Unknown - 2.6 MB - SHA-256: 65ef955e82e5331bc72f921a103bbb6c844c8d2aa1dcce385f47f407eaa563ac
gpu_data.parquet
Unknown - 9.4 MB - SHA-256: 6ba83c4250a6aba1cdda6953af57face22a942ced23f0c70fe7b8a75e8acd6ec
gpu_data.parquet
Unknown - 13.2 MB - SHA-256: 7553559f70e4628d8ede6c5f968e1eb732debbc2e58e52ca60bc5c7f622e8430
__init__.cpython-311.pyc
Unknown - 2.9 KB - SHA-256: f15a9e290757bd282d4c9e10cdb684bd9c2c265f093806f218ff3f5fd9df10f0
__init__.cpython-312.pyc
Unknown - 3.6 KB - SHA-256: b97dbe8fe02df74f9dbd28a4a9a866366740b7464be2594eb67988a8711dadc6
__init__.py
Python Source Code - 2.5 KB - SHA-256: da258e7666f961756ac46c30075b6a161cf1949e98b431a050f4422e8b86424c
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