Abstract
Allinea MAP was introduced in 2013 as a highly scalable, commercially-supported sampling-based MPI profiler that tracks performance data over time and relates it directly to the program source code. We have since extended its capabilities to support profiling of OpenMP regions and POSIX threads (pthreads) in general. We will show the principles we used to highlight the balance between multi-core (OpenMP) computation, MPI communication and serial code in Allinea MAP’s updated GUI. Graphs detailing performance metrics (memory, IO, vectorised operations etc.) complete the performance profile. We have also added power-usage metrics to Allinea MAP and are actively seeking collaboration with vendors, application users and other tools writers to define how best HPC can meet the power requirements moving towards exascale. MAP’s data is provided for export to other tools and analysis in an open XML-based format.
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January, C., Byrd, J., Oró, X., O’Connor, M. (2015). Allinea MAP: Adding Energy and OpenMP Profiling Without Increasing Overhead. In: Niethammer, C., Gracia, J., Knüpfer, A., Resch, M., Nagel, W. (eds) Tools for High Performance Computing 2014. Springer, Cham. https://doi.org/10.1007/978-3-319-16012-2_2
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DOI: https://doi.org/10.1007/978-3-319-16012-2_2
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