skip to main content
US FlagAn official website of the United States government
dot gov icon
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
https lock icon
Secure .gov websites use HTTPS
A lock ( lock ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

Explore Research Products in the PAR
It may take a few hours for recently added research products to appear in PAR search results.


  • Home
  • Search Results
  • Page 1 of 1

Search for: All records

Creators/Authors contains: "Lumsden, Ian"

Note: When clicking on a Digital Object Identifier (DOI) number, you will be taken to an external site maintained by the publisher. Some full text articles may not yet be available without a charge during the embargo (administrative interval).
What is a DOI Number?

Some links on this page may take you to non-federal websites. Their policies may differ from this site.

  1. ; ; ; ; ; ; (, ACM)
    Free, publicly-accessible full text available July 20, 2026
  2. ; ; ; ; ; ; ; ; ; ; et al (, ACM)
    Free, publicly-accessible full text available July 20, 2026
  3. ; ; ; ; ; ; (, Springer Nature Switzerland)
    Free, publicly-accessible full text available January 1, 2026
  4. ; ; ; ; ; ; (, IEEE)
    Free, publicly-accessible full text available November 13, 2025
  5. ; ; ; ; ; ; ; ; ; ; et al (, IEEE)
    Free, publicly-accessible full text available November 17, 2025
  6. ; ; ; ; ; ; ; ; ; ; et al (, IEEE)
    Free, publicly-accessible full text available September 2, 2026
  7. ; ; ; ; ; ; ; (, IEEE)
    Full Text Available 
  8. ; ; ; ; ; ; ; (, IEEE)
    Full Text Available 
  9. ; ; ; ; ; ; ; ; (, 2020 IEEE/ACM International Workshop on HPC User Support Tools (HUST) and Workshop on Programming and Performance Visualization Tools (ProTools))
    null (Ed.)
    Performance analysis is critical for pinpointing bottlenecks in parallel applications. Several profilers exist to instrument parallel programs on HPC systems and gather performance data. Hatchet is an open-source Python library that can read profiling output of several tools, and enables the user to perform a variety of programmatic analyses on hierarchical performance profiles. In this paper, we augment Hatchet to support new features: a query language for representing call path patterns that can be used to filter a calling context tree, visualization support for displaying and interacting with performance profiles, and new operations for performing analyses on multiple datasets. Additionally, we present performance optimizations in Hatchet’s HPCToolkit reader and the unify operation to enable scalable analysis of large datasets. 
    more » « less
    Full Text Available