Statistical scalability analysis of communication operations in distributed applications
PPoPP '01 Proceedings of the eighth ACM SIGPLAN symposium on Principles and practices of parallel programming
Predictive performance and scalability modeling of a large-scale application
Proceedings of the 2001 ACM/IEEE conference on Supercomputing
A performance prediction framework for scientific applications
ICCS'03 Proceedings of the 2003 international conference on Computational science: PartIII
Determination of performance characteristics of scientific applications on IBM Blue Gene/Q
IBM Journal of Research and Development
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Performance analysis and prediction of parallel applications using the Message-Passing Interface (MPI) standard is a challenging task. Collecting, organizing, and making sense of profiling data for MPI jobs of even modest scale is difficult and time-consuming. The task is further complicated by the inherent difficulty in interpreting the resulting communication measurements. In this paper we introduce MPInside, a new profiling and diagnostic tool that overcomes these constraints with carefully considered choices for measurement techniques, capabilities, and output formats. Using examples from real-world applications, we illustrate the innovative features of the tool--including late senders for point-to-point calls and unaligned collective calls--all in an instrumentation-free framework. We also demonstrate the in-flight modeling capabilities of MPInside with several "what if" experiments.