Scalasca is a software tool that supports the performance optimization of parallel programs by measuring and analyzing their runtime behavior. The analysis identifies potential performance bottlenecks – in particular those concerning communication and synchronization – and offers guidance in exploring their causes.
Keywords for this software
References in zbMATH (referenced in 9 articles )
Showing results 1 to 9 of 9.
- Augustin, Christoph M.; Neic, Aurel; Liebmann, Manfred; Prassl, Anton J.; Niederer, Steven A.; Haase, Gundolf; Plank, Gernot: Anatomically accurate high resolution modeling of human whole heart electromechanics: A strongly scalable algebraic multigrid solver method for nonlinear deformation (2016)
- Gmeiner, Björn; Rüde, Ulrich; Stengel, Holger; Waluga, Christian; Wohlmuth, Barbara: Performance and scalability of hierarchical hybrid multigrid solvers for Stokes systems (2015)
- Zhang, Wei; Wei, Wenjie; Cai, Xing: Performance modeling of serial and parallel implementations of the fractional Adams-Bashforth-Moulton method (2014)
- Liebmann, Manfred; Neic, Aurel; Haase, Gundolf: A balanced accumulation scheme for parallel PDE solvers (2013)
- Lobachev, Oleg; Guthe, Michael; Loogen, Rita: Estimating parallel performance (2013) ioport
- Mohror, Kathryn; Karavanic, Karen L.: Trace profiling: scalable event tracing on high-end parallel systems (2012) ioport
- Diethelm, Kai: An efficient parallel algorithm for the numerical solution of fractional differential equations (2011)
- Geimer, Markus; Wolf, Felix; Wylie, Brian J.N.; Ábrahám, Erika; Becker, Daniel; Mohr, Bernd: The Scalasca performance toolset architecture (2010) ioport
- Wylie, Brian J.N.; Geimer, Markus; Mohr, Bernd; Böhme, David; Szebenyi, Zoltán; Wolf, Felix: Large-scale performance analysis of Sweep3D with the scalasca toolset (2010) ioport
Further publications can be found at: http://www.scalasca.org/publications/by-year/publications-by-year.html