| Home > Publications database > Testing. Testing? Testing! How RSEs can Assure Software Quality in Complex HPC Code Bases. > print |
| 001 | 1019684 | ||
| 005 | 20240102203541.0 | ||
| 037 | _ | _ | |a FZJ-2023-05541 |
| 100 | 1 | _ | |a Kabadshow, Ivo |0 P:(DE-Juel1)132152 |b 0 |e Corresponding author |u fzj |
| 111 | 2 | _ | |a Platform for Advanced Scientific Computing Conference |g PASC 23 |c Davos |d 2023-06-26 - 2023-06-28 |w Switzerland |
| 245 | _ | _ | |a Testing. Testing? Testing! How RSEs can Assure Software Quality in Complex HPC Code Bases. |
| 260 | _ | _ | |c 2023 |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
| 336 | 7 | _ | |a Other |2 DataCite |
| 336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
| 336 | 7 | _ | |a conferenceObject |2 DRIVER |
| 336 | 7 | _ | |a LECTURE_SPEECH |2 ORCID |
| 336 | 7 | _ | |a Conference Presentation |b conf |m conf |0 PUB:(DE-HGF)6 |s 1704194507_26654 |2 PUB:(DE-HGF) |x After Call |
| 520 | _ | _ | |a HPC software is often regarded simply as a tool to advance science and publish results. However, the process of developing and maintaining HPC software is getting more complex. Since the lifetime of a code outlasts the lifetime of an HPC cluster, porting and optimizing for a new system is always required. How can we improve and automate the workflow of development and maintenance? In this talk, we focus on the software engineering part of HPC code development. We describe how automated unit testing and continuous integration help to keep the software in a manageable state. |
| 536 | _ | _ | |a 5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs) and Research Groups (POF4-511) |0 G:(DE-HGF)POF4-5112 |c POF4-511 |f POF IV |x 0 |
| 536 | _ | _ | |a DFG project 443189148 - FMhub - Eine Plattform zur Bereitstellung schneller Multipol-Löser für die Wissenschaft (443189148) |0 G:(GEPRIS)443189148 |c 443189148 |x 1 |
| 856 | 4 | _ | |u https://pasc23.pasc-conference.org/presentation/?id=msa214&sess=sess140 |
| 909 | C | O | |o oai:juser.fz-juelich.de:1019684 |p VDB |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)132152 |
| 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)POF4-511 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-500 |4 G:(DE-HGF)POF |v Enabling Computational- & Data-Intensive Science and Engineering |9 G:(DE-HGF)POF4-5112 |x 0 |
| 914 | 1 | _ | |y 2023 |
| 920 | 1 | _ | |0 I:(DE-Juel1)JSC-20090406 |k JSC |l Jülich Supercomputing Center |x 0 |
| 980 | _ | _ | |a conf |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a I:(DE-Juel1)JSC-20090406 |
| 980 | _ | _ | |a UNRESTRICTED |
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