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 4 articles )
Showing results 1 to 4 of 4.
- Zhang, Wei; Wei, Wenjie; Cai, Xing: Performance modeling of serial and parallel implementations of the fractional Adams-Bashforth-Moulton method (2014)
- Lobachev, Oleg; Guthe, Michael; Loogen, Rita: Estimating parallel performance (2013)
- Mohror, Kathryn; Karavanic, Karen L.: Trace profiling: scalable event tracing on high-end parallel systems (2012)
- Diethelm, Kai: An efficient parallel algorithm for the numerical solution of fractional differential equations (2011)
Further publications can be found at: http://www.scalasca.org/publications/by-year/publications-by-year.html