July 27, 2026 Software Open Access

Hanel, Tim; Manethia, Aditya Kumar; Albach, Daniel; Widera, Rene

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  <identifier identifierType="DOI">10.14278/rodare.4817</identifier>
  <creators>
    <creator>
      <creatorName>Hanel, Tim</creatorName>
      <givenName>Tim</givenName>
      <familyName>Hanel</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0009-0008-6324-3946</nameIdentifier>
      <affiliation>Helmholtz-Zentrum Dresden-Rossendorf, TU Dresden</affiliation>
    </creator>
    <creator>
      <creatorName>Manethia, Aditya Kumar</creatorName>
      <givenName>Aditya Kumar</givenName>
      <familyName>Manethia</familyName>
      <affiliation>TU Bergakademie Freiberg</affiliation>
    </creator>
    <creator>
      <creatorName>Albach, Daniel</creatorName>
      <givenName>Daniel</givenName>
      <familyName>Albach</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-5602-3007</nameIdentifier>
      <affiliation>Helmholtz-Zentrum Dresden-Rossendorf</affiliation>
    </creator>
    <creator>
      <creatorName>Widera, Rene</creatorName>
      <givenName>Rene</givenName>
      <familyName>Widera</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-1642-0459</nameIdentifier>
      <affiliation>Helmholtz-Zentrum Dresden-Rossendorf</affiliation>
    </creator>
  </creators>
  <titles>
    <title>HASEonGPU Software - High performance Amplified Spontaneous Emission on GPU</title>
  </titles>
  <publisher>Rodare</publisher>
  <publicationYear>2026</publicationYear>
  <subjects>
    <subject>laser</subject>
    <subject>laser-physics</subject>
    <subject>laser-construction</subject>
    <subject>high-intensity laser pulse</subject>
    <subject>high-power laser systems</subject>
    <subject>amplified spontaneous emission</subject>
    <subject>ASE</subject>
    <subject>gain media</subject>
    <subject>Monte Carlo ray tracing</subject>
    <subject>HPC</subject>
    <subject>GPU</subject>
    <subject>CUDA</subject>
    <subject>HIP</subject>
    <subject>MPI</subject>
    <subject>openPMD</subject>
    <subject>ADIOS2</subject>
    <subject>HDF5</subject>
    <subject>alpaka</subject>
    <subject>alpaka3</subject>
    <subject>C++20</subject>
    <subject>C++</subject>
    <subject>Python</subject>
    <subject>heterogeneous computing</subject>
    <subject>distributed computing</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2026-07-27</date>
  </dates>
  <resourceType resourceTypeGeneral="Software"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://rodare.hzdr.de/record/4817</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsSupplementTo">https://github.com/computationalradiationphysics/haseongpu</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsDocumentedBy">https://haseongpu.readthedocs.io/en/latest/</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="Cites">10.1016/j.cpc.2016.05.019</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="Cites">10.1364/OE.17.003792</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.14278/rodare.4724</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://rodare.hzdr.de/communities/hzdr</relatedIdentifier>
  </relatedIdentifiers>
  <version>2.1.1</version>
  <rightsList>
    <rights rightsURI="https://opensource.org/licenses/GPL-3.0">GNU General Public License v3.0 or later</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">HASEonGPU is open-source HPC software for calculating amplified spontaneous emission (ASE) flux in laser gain media. It supports the design and analysis of high-power laser systems by estimating ASE flux in configurable gain media using a Monte Carlo ray-tracing approach.
Release 2.1.1 moves pump time stepping into the compiled C++/Alpaka backend, adds compiled frozen-RK4 and ASE controls, improves streamed output handling, and separates the private Python runtime from optional public C++ installation artifacts.
HASEonGPU uses alpaka 3 (https://github.com/alpaka-group/alpaka3) to support ASE calculations on CPU and GPU (CUDA, HIP) backends with improved performance portability.</description>
  </descriptions>
</resource>