The International Conference for High Performance Computing, Networking, Storage, and Analysis
The International Conference for High Performance Computing, Networking, Storage, and Analysis
Workshop:ProTools 2020: Workshop on Programming and Performance Visualization Tools
Authors: Stephanie Brink (Lawrence Livermore National Laboratory), Ian Lumsden (University of Tennessee), Connor Scully-Allison and Katy Williams (University of Arizona), Olga Pearce and Todd Gamblin (Lawrence Livermore National Laboratory), Michela Taufer (University of Tennessee), Katherine Isaacs (University of Arizona), and Abhinav Bhatele (University of Maryland)
Abstract: Performance analysis is critical for pinpointing bottlenecks in applications. Many different profilers exist to instrument parallel programs on HPC systems, however, there is a lack of tools for analyzing such data programmatically. Hatchet, an open-source Python library, can read profiling data from several tools, and enables the user to perform a variety of analyses on hierarchical performance data. In this paper, we augment Hatchet to support new features: a syntax query language for representing call path-related queries, visualizations for displaying and interacting with the structured data, and new operations for performing analysis on multiple datasets. Additionally, we present performance optimizations in Hatchet's HPCToolkit reader and the unify operation to enable scalable analysis of large profiles.
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