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Pure C++ Approach to Optimized Parallel Traversal of Regular Data Structures

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F24%3A10481450" target="_blank" >RIV/00216208:11320/24:10481450 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1145/3649169.3649247" target="_blank" >https://doi.org/10.1145/3649169.3649247</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1145/3649169.3649247" target="_blank" >10.1145/3649169.3649247</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Pure C++ Approach to Optimized Parallel Traversal of Regular Data Structures

  • Original language description

    Many computational problems consider memory throughput a performance bottleneck. The problem becomes even more pronounced in the case of parallel platforms, where the ratio between computing elements and memory bandwidth shifts towards computing. Software needs to be attuned to hardware features like cache architectures or memory banks to reach a decent level of performance efficiency. This can be achieved by selecting the right memory layouts for data structures or changing the order of data structure traversal. In this work, we present an abstraction for traversing a set of regular data structures (e.g., multidimensional arrays) that allows the design of traversal-agnostic algorithms. Such algorithms can be adjusted for particular memory layouts of the data structures, semi-automated parallelization, or auto-tuning without altering their internal code. The proposed solution was implemented as an extension of the Noarr library that simplifies a layout-agnostic design of regular data structures. It is implemented entirely using C++ template meta-programming without any nonstandard dependencies, so it is fully compatible with existing compilers, including CUDA NVCC. We evaluate the performance and expressiveness of our approach on the Polybench-C benchmarks.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • 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

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2024

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of the 15th International Workshop on Programming Models and Applications for Multicores and Manycores

  • ISBN

    979-8-4007-0599-1

  • ISSN

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    42-51

  • Publisher name

    Association for Computing Madinery

  • Place of publication

    New York, NY, USA

  • Event location

    Edinburgh

  • Event date

    Mar 3, 2024

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    001182171800005