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Efficient Parallel Generation of Many-Nucleon Basis for Large-Scale Ab Initio Nuclear Structure Calculations

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F18%3A10390720" target="_blank" >RIV/00216208:11320/18:10390720 - isvavai.cz</a>

  • Alternative codes found

    RIV/61389005:_____/18:00491174

  • Result on the web

    <a href="https://doi.org/10.1007/978-3-319-78054-2_32" target="_blank" >https://doi.org/10.1007/978-3-319-78054-2_32</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-78054-2_32" target="_blank" >10.1007/978-3-319-78054-2_32</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Efficient Parallel Generation of Many-Nucleon Basis for Large-Scale Ab Initio Nuclear Structure Calculations

  • Original language description

    We address the problem of generating a many-nucleon basis for ab initio nuclear structure modeling, which quickly becomes a significant runtime bottleneck for large model spaces. We first analyze the original basis generation algorithm, which does not employ multi-threading parallel paradigm. Based on the analysis, we propose and empirically evaluate a new efficient scalable basis generation algorithm. We report a reduction of basis generation runtime by a factor of 42 on the Blue Waters supercomputer and by two orders of magnitude on our test-bed computer system with Broadwell CPUs.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10304 - Nuclear physics

Result continuities

  • Project

    <a href="/en/project/GA16-16772S" target="_blank" >GA16-16772S: Development of symmetry-guided methods for first principle modeling of medium-mass atomic nuclei</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    PARALLEL PROCESSING AND APPLIED MATHEMATICS (PPAM 2017), PT II

  • ISBN

    978-3-319-78054-2

  • ISSN

    0302-9743

  • e-ISSN

    1611-3349

  • Number of pages

    10

  • Pages from-to

    341-350

  • Publisher name

    SPRINGER INTERNATIONAL PUBLISHING AG

  • Place of publication

    CHAM

  • Event location

    Lublin

  • Event date

    Sep 10, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000458563900032