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Pegasus: Performance Engineering for Software Applications Targeting HPC Systems

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F22%3A10250100" target="_blank" >RIV/61989100:27740/22:10250100 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/9113456" target="_blank" >https://ieeexplore.ieee.org/document/9113456</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/TSE.2020.3001257" target="_blank" >10.1109/TSE.2020.3001257</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Pegasus: Performance Engineering for Software Applications Targeting HPC Systems

  • Original language description

    Developing and optimizing software applications for high performance and energy efficiency is a very challenging task, even when considering a single target machine. For instance, optimizing for multicore-based computing systems requires in-depth knowledge about programming languages, application programming interfaces (APIs), compilers, performance tuning tools, and computer architecture and organization. Many of the tasks of performance engineering methodologies require manual efforts and the use of different tools not always part of an integrated toolchain. This paper presents Pegasus, a performance engineering approach supported by a framework that consists of a source-to-source compiler, controlled and guided by strategies programmed in a Domain-Specific Language, and an autotuner. Pegasus is a holistic and versatile approach spanning various decision layers composing the software stack, and exploiting the system capabilities and workloads effectively through the use of runtime autotuning. The Pegasus approach helps developers by automating tasks regarding the efficient implementation of software applications in multicore computing systems. These tasks focus on application analysis, profiling, code transformations, and the integration of runtime autotuning. Pegasus allows developers to program their strategies or to automatically apply existing strategies to software applications in order to ensure the compliance of non-functional requirements, such as performance and energy efficiency. We show how to apply Pegasus and demonstrate its applicability and effectiveness in a complex case study, which includes tasks from a smart navigation system.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    IEEE Transactions on Software Engineering

  • ISSN

    0098-5589

  • e-ISSN

    1939-3520

  • Volume of the periodical

    48

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    23

  • Pages from-to

    732-754

  • UT code for WoS article

    000769989900001

  • EID of the result in the Scopus database

    2-s2.0-85086722258