Abstract
This paper introduces Numprof, a profiling framework for performance analysis of numerical libraries. The framework consists of a profiler and replayer for the BLAS and FFTW3 libraries. The profiler records library call events with a user configurable amount of detail. The replayer can be used to execute library calls based on the profiling trace files generated by the profiler. We explore real-world use cases for the framework and demonstrate that due to its low overhead it is feasible to be used for continuous statistical analysis of numerical library calls.
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Lehto, OP. (2013). Numprof: A Performance Analysis Framework for Numerical Libraries. In: Manninen, P., Öster, P. (eds) Applied Parallel and Scientific Computing. PARA 2012. Lecture Notes in Computer Science, vol 7782. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36803-5_22
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DOI: https://doi.org/10.1007/978-3-642-36803-5_22
Publisher Name: Springer, Berlin, Heidelberg
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