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Enabling Graph-Based Profiling Analysis Using Hatchet
ACM Student Research Competition: Graduate Poster
ACM Student Research Competition: Undergraduate Poster
DescriptionWe augment the Hatchet performance data analysis tool to leverage relational caller-callee data in the analysis of HPC applications. Specifically, we design a query language that enables data reduction using graph path pattern matching. We demonstrate the capabilities of our augmented Hatchet by examining the performance of MPI calls in three High Performance Computing (HPC) benchmarks when using MVAPICH and Spectrum-MPI. In doing so, we can identify hidden performance losses in specific MPI functions.