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Felix Wolf
Felix Wolf
Professor of Computer Science, TU Darmstadt
Verified email at tu-darmstadt.de - Homepage
Title
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Cited by
Year
The Scalasca performance toolset architecture
M Geimer, F Wolf, BJN Wylie, E Ábrahám, D Becker, B Mohr
Concurrency and computation: Practice and experience 22 (6), 702-719, 2010
6732010
Score-p: A joint performance measurement run-time infrastructure for periscope, scalasca, tau, and vampir
A Knüpfer, C Rössel, D Mey, S Biersdorff, K Diethelm, D Eschweiler, ...
Tools for High Performance Computing 2011: Proceedings of the 5th …, 2012
4302012
Automatic performance analysis of hybrid MPI/OpenMP applications
F Wolf, B Mohr
Journal of Systems Architecture 49 (10-11), 421-439, 2003
2192003
Using automated performance modeling to find scalability bugs in complex codes
A Calotoiu, T Hoefler, M Poke, F Wolf
Proceedings of the International Conference on High Performance Computing …, 2013
1802013
KOJAK–A tool set for automatic performance analysis of parallel programs
B Mohr, F Wolf
Euro-Par 2003 Parallel Processing: 9th International Euro-Par Conference …, 2003
1742003
Design and prototype of a performance tool interface for OpenMP
B Mohr, AD Malony, S Shende, F Wolf
The Journal of Supercomputing 23, 105-128, 2002
1592002
Open trace format 2: The next generation of scalable trace formats and support libraries
D Eschweiler, M Wagner, M Geimer, A Knüpfer, WE Nagel, F Wolf
Applications, Tools and Techniques on the Road to Exascale Computing, 481-490, 2012
1552012
Scalable parallel trace-based performance analysis
M Geimer, F Wolf, BJN Wylie, B Mohr
Recent Advances in Parallel Virtual Machine and Message Passing Interface …, 2006
1372006
Scalable massively parallel I/O to task-local files
W Frings, F Wolf, V Petkov
Proceedings of the Conference on High Performance Computing Networking …, 2009
1232009
Score-P: A unified performance measurement system for petascale applications
DA Mey, S Biersdorf, C Bischof, K Diethelm, D Eschweiler, M Gerndt, ...
Competence in High Performance Computing 2010: Proceedings of an …, 2012
1052012
Identifying the root causes of wait states in large-scale parallel applications
D Böhme, M Geimer, L Arnold, F Voigtlaender, F Wolf
ACM Transactions on Parallel Computing (TOPC) 3 (2), 1-24, 2016
932016
Usage of the SCALASCA toolset for scalable performance analysis of large-scale parallel applications
F Wolf, BJN Wylie, E Abraham, D Becker, W Frings, K Fürlinger, M Geimer, ...
Tools for High Performance Computing: Proceedings of the 2nd International …, 2008
932008
Knowledge specification for automatic performance analysis
T Fahringer, M Gerndt, B Mohr, F Wolf, G Riley, JL Träff
Technical Report FZJ-ZAM-IB-2001-08, ESPRIT IV Working Group APART …, 2001
902001
A batch system with efficient adaptive scheduling for malleable and evolving applications
S Prabhakaran, M Neumann, S Rinke, F Wolf, A Gupta, LV Kale
2015 IEEE international parallel and distributed processing symposium, 429-438, 2015
882015
Towards a performance tool interface for OpenMP: An approach based on directive rewriting
B Mohr, AD Malony, S Shende, F Wolf
Proceedings of the Third Workshop on OpenMP (EWOMP’01), 2001
862001
Interoperation of world‐wide production e‐Science infrastructures
M Riedel, E Laure, T Soddemann, L Field, JP Navarro, J Casey, ...
Concurrency and Computation: Practice and Experience 21 (8), 961-990, 2009
842009
A scalable tool architecture for diagnosing wait states in massively parallel applications
M Geimer, F Wolf, BJN Wylie, B Mohr
Parallel Computing 35 (7), 375-388, 2009
802009
Scalable critical-path based performance analysis
D Böhme, F Wolf, BR de Supinski, M Schulz, M Geimer
2012 IEEE 26th International Parallel and Distributed Processing Symposium …, 2012
782012
An algebra for cross-experiment performance analysis
F Song, F Wolf, N Bhatia, J Dongarra, S Moore
International Conference on Parallel Processing, 2004. ICPP 2004., 63-72, 2004
772004
Fast multi-parameter performance modeling
A Calotoiu, D Beckinsale, CW Earl, T Hoefler, I Karlin, M Schulz, F Wolf
2016 IEEE International Conference on Cluster Computing (CLUSTER), 172-181, 2016
722016
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