Skip to main content
AI Crawler DoS Attacks | Dataverse Creation Restriction – Please note:
  • We are experiencing a coordinated attack by AI training crawler bots, which slow down the service. We are working on mitigating the problem and apologize for any inconveniences.
  • Institutional or project level dataverses have to be created with confirming permissions. See details in guide.
Jülich Supercomputing Centre (JSC) (Forschungszentrum Jülich)
Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Find Advanced Search

11 to 20 of 69 Results
data_files.tgz.part_1
Unknown - 2.0 GB - SHA-256: d2bf9af32ef61ae567223223695bcfb7eb8d458022392c8c3fea9dc718e4d023
data_files.tgz.part_2
Unknown - 1.9 GB - SHA-256: ebc92dbc84ca1d7c8e52b5fb9e2005e8128c001da65b3df28e836e9ad82e866c
preflyby_disc.dat
Fixed Field Text Data - 8.7 MB - SHA-256: 93ed04161a9a209430d08f994827d3d2301fcbb4004bca0de8a75bdc1b83f4bc
initial state data file
README.md
Markdown Text - 5.0 KB - SHA-256: 6a15a8945f47c1e76070e94b0cde0b3ff6ec3348e7f56882ed213cda4737e9eb
stellar_flyby_final_snapshot.dat
Fixed Field Text Data - 11.0 MB - SHA-256: 62ce878bbf2c0b6bc99d126102ca72b53dae6db9c692d85521b3805627760d46
final state data file
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
Add Data

Log in to create a dataverse or add a dataset.

Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.

Contact Jülich DATA Support

Jülich DATA Support

Please fill this out to prove you are not a robot.

+ =