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| Home > Publications database > Assessing Measurement and Analysis Performance and Scalability of Scalasca 2.0 > print |
| 001 | 153477 | ||
| 005 | 20250314084110.0 | ||
| 020 | _ | _ | |a 978-3-642-54419-4 (print) |
| 020 | _ | _ | |a 978-3-642-54420-0 (electronic) |
| 024 | 7 | _ | |a 10.1007/978-3-642-54420-0_61 |2 doi |
| 024 | 7 | _ | |a 1611-3349 |2 ISSN |
| 024 | 7 | _ | |a 0302-9743 |2 ISSN |
| 037 | _ | _ | |a FZJ-2014-03075 |
| 082 | _ | _ | |a 004 |
| 100 | 1 | _ | |a Zhukov, Ilya |0 P:(DE-Juel1)144419 |b 0 |e Corresponding Author |u fzj |
| 111 | 2 | _ | |a Euro-Par 2013: Parallel Processing Workshops |c Aachen |d 2013-08-26 - 2013-08-27 |w Germany |
| 245 | _ | _ | |a Assessing Measurement and Analysis Performance and Scalability of Scalasca 2.0 |
| 260 | _ | _ | |a Berlin, Heidelberg |c 2014 |b Springer Berlin Heidelberg |
| 295 | 1 | 0 | |a Euro-Par 2013: Parallel Processing Workshops |
| 300 | _ | _ | |a 627 - 636 |
| 336 | 7 | _ | |a Contribution to a conference proceedings |b contrib |m contrib |0 PUB:(DE-HGF)8 |s 1399880741_4092 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a Contribution to a book |0 PUB:(DE-HGF)7 |2 PUB:(DE-HGF) |m contb |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
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| 336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
| 490 | 0 | _ | |a Lecture Notes in Computer Science |v 8374 |
| 520 | _ | _ | |a The Scalasca toolset was developed to provide highly scalable performance measurement and analysis of scientific applications on current HPC platforms, including leadership systems such as IBM BlueGene/Q and more traditional Linux clusters. Its primary focus is support for C/C++/Fortran applications using MPI and OpenMP, and mixed-mode combinations thereof, offering detailed call-path profiles for each process and thread produced by runtime summarization or augmented with wait-state analysis of event traces. A new generation of Scalasca (2.0) uses the community-developed infrastructure comprising of Score-P and associated components, while continuing to provide the previous functionality. By comparing the new version of Scalasca with its predecessor, using the applications from the NPB3.3-MZ-MPI benchmark suite, we validate core functionality and assess overheads and scalability. Although adequate for general use, various aspects are identified for further improvement, particularly for larger scales. |
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| 700 | 1 | _ | |a Wylie, Brian J. N. |0 P:(DE-Juel1)132302 |b 1 |u fzj |
| 773 | _ | _ | |a 10.1007/978-3-642-54420-0_61 |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/153477/files/FZJ-2014-03075.pdf |y Restricted |
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| 914 | 1 | _ | |y 2014 |
| 915 | _ | _ | |a No Peer review |0 StatID:(DE-HGF)0020 |2 StatID |
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