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S. Hunold, A. Carpen-Amarie, F. Lübbe, J. Träff:
"Automatic Verification of Self-consistent MPI Performance Guidelines";
Talk: 22nd International European Conference on Parallel and Distributed Computing (Euro-Par 2016), Grenoble, France; 2016-08-22 - 2016-08-26; in: "Euro-Par 2016: Parallel Processing, 22nd International Conference on Parallel and Distributed Computing, Proceedings", P. Dutot, D. Trystram (ed.); Springer International Publishing, LNCS 9833 (2016), ISBN: 978-3-319-43658-6; 433 - 446.

The Message Passing Interface (MPI) is the most commonly used application programming interface for process communication on current large-scale parallel systems. Due to the scale and complexity of modern parallel architectures, it is becoming increasingly difficult to optimize MPI libraries, as many factors can influence the communication performance. To assist MPI developers and users, we propose an automatic way to check whether MPI libraries respect self-consistent performance guidelines for collective communication operations. We introduce the PGMPI framework to detect violations of performance guidelines through benchmarking. Our experimental results show that PGMPI can pinpoint undesired and often unexpected performance degradations of collective MPI operations. We demonstrate how to overcome performance issues of several libraries by adapting the algorithmic implementations of their respective collective MPI calls.

MPI - Collectives - Performance guidelines - Benchmarking

http://dx.doi.org/10.1007/978-3-319-43659-3_32

Project Head Jesper Larsson Träff:
MPI

Project Head Jesper Larsson Träff:
ReproPC