figshare
Browse
2018-04-NSF-SSI-BinaryTools-Rice-Wisconsin-Slide.pdf (1.02 MB)

Binary Analysis for Performance, 
Security, and Correctness Tools

Download (1.02 MB)
journal contribution
posted on 2018-04-24, 05:04 authored by John Mellor-CrummeyJohn Mellor-Crummey, Barton MillerBarton Miller
The attached document is a one-slide lightning talk for a companion poster that describes work during 2018 as part of an NSF-funded collaboration between Rice University and the University of Wisconsin-Madison. Among other things, the companion poster describes adding task-based parallelism to Wisconsin's Dyninst binary analyzer, a new dynamic data race detector for OpenMP programs, and new capabilities in Rice's HPCToolkit performance tools to measure and analyze the the performance of GPU-accelerated code and generate insights into parallel application performance using automated analysis of program traces.

Funding

NSF ACI-1450273 (Rice), ACI-1449918 (Wisconsin), DOE Exascale Computing Project, Argonne National Laboratory, Lawrence Livermore National Laboratory, ARM, Cisco, Cray, Intel, and Red Hat.

History

Usage metrics

    Categories

    Keywords

    NSF-SI2-2018-TalkComputer SoftwareOpen SoftwareConcurrent Programming

    Licence

    CC BY 4.0

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC