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| 001 | 1006595 | ||
| 005 | 20240226075316.0 | ||
| 024 | 7 | _ | |a 10.1109/CLUSTER51413.2022.00076 |2 doi |
| 024 | 7 | _ | |a 2128/34263 |2 Handle |
| 024 | 7 | _ | |a WOS:000920273100061 |2 WOS |
| 037 | _ | _ | |a FZJ-2023-01736 |
| 100 | 1 | _ | |a Zhu, Zhaobin |0 P:(DE-HGF)0 |b 0 |
| 111 | 2 | _ | |a 2022 IEEE International Conference on Cluster Computing (CLUSTER) |c Heidelberg |d 2022-09-05 - 2022-09-08 |w Germany |
| 245 | _ | _ | |a A Comprehensive I/O Knowledge Cycle for Modular and Automated HPC Workload Analysis |
| 260 | _ | _ | |c 2022 |b IEEE |
| 300 | _ | _ | |a 581-588 |
| 336 | 7 | _ | |a CONFERENCE_PAPER |2 ORCID |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
| 336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
| 336 | 7 | _ | |a conferenceObject |2 DRIVER |
| 336 | 7 | _ | |a Output Types/Conference Paper |2 DataCite |
| 336 | 7 | _ | |a Contribution to a conference proceedings |b contrib |m contrib |0 PUB:(DE-HGF)8 |s 1680765696_14197 |2 PUB:(DE-HGF) |
| 520 | _ | _ | |a On the way to the exascale era, millions of parallel processing elements are required. Accordingly, one major chal-lenge is the ever-widening gap between computational power and underlying I/O systems. To bridge this gap, I/O resources must be used efficiently, thus a profound I/O knowledge is required. In this work, we analyze state-of-the-art approaches that can be applied to improve the general I/O understanding and performance. Based on our analysis, we present an automated, modular, tool-agnostic I/Oanalysis workflow and a prototype implementation that can be used to generate, extract, store, analyze, and use I/O knowledge in a structured and reproducible way. |
| 536 | _ | _ | |a 5121 - Supercomputing & Big Data Facilities (POF4-512) |0 G:(DE-HGF)POF4-5121 |c POF4-512 |f POF IV |x 0 |
| 588 | _ | _ | |a Dataset connected to CrossRef Conference |
| 700 | 1 | _ | |a Neuwirth, Sarah |0 P:(DE-Juel1)188610 |b 1 |e Corresponding author |
| 700 | 1 | _ | |a Lippert, Thomas |0 P:(DE-Juel1)132179 |b 2 |
| 773 | _ | _ | |a 10.1109/CLUSTER51413.2022.00076 |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/1006595/files/2022-REXIO-Zhu-camera.pdf |y OpenAccess |
| 909 | C | O | |o oai:juser.fz-juelich.de:1006595 |p openaire |p open_access |p VDB |p driver |p dnbdelivery |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 1 |6 P:(DE-Juel1)188610 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 2 |6 P:(DE-Juel1)132179 |
| 913 | 1 | _ | |a DE-HGF |b Key Technologies |l Engineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action |1 G:(DE-HGF)POF4-510 |0 G:(DE-HGF)POF4-512 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-500 |4 G:(DE-HGF)POF |v Supercomputing & Big Data Infrastructures |9 G:(DE-HGF)POF4-5121 |x 0 |
| 914 | 1 | _ | |y 2023 |
| 915 | _ | _ | |a OpenAccess |0 StatID:(DE-HGF)0510 |2 StatID |
| 920 | 1 | _ | |0 I:(DE-Juel1)JSC-20090406 |k JSC |l Jülich Supercomputing Center |x 0 |
| 980 | _ | _ | |a contrib |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a UNRESTRICTED |
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| 980 | 1 | _ | |a FullTexts |
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