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        <datestamp>2025-01-19T10:53:34Z</datestamp>
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          <dc:title>Using Intel oneAPI for multi-hybrid acceleration programming with GPU and FPGA coupling</dc:title>
          <dc:title xml:lang="en">Using Intel oneAPI for multi-hybrid acceleration programming with GPU and FPGA coupling</dc:title>
          <jpcoar:creator>
            <jpcoar:creatorName>Wentao, Liang</jpcoar:creatorName>
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          <jpcoar:creator>
            <jpcoar:creatorName>Norihisa, Fujita</jpcoar:creatorName>
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          <jpcoar:creator>
            <jpcoar:creatorName>Ryohei, Kobayashi</jpcoar:creatorName>
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          <jpcoar:creator>
            <jpcoar:creatorName>Taisuke, Boku</jpcoar:creatorName>
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          <jpcoar:creator>
            <jpcoar:creatorName xml:lang="en">Wentao, Liang</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName xml:lang="en">Norihisa, Fujita</jpcoar:creatorName>
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          <jpcoar:creator>
            <jpcoar:creatorName xml:lang="en">Ryohei, Kobayashi</jpcoar:creatorName>
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          <jpcoar:creator>
            <jpcoar:creatorName xml:lang="en">Taisuke, Boku</jpcoar:creatorName>
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          <jpcoar:subject subjectScheme="Other">アクセラレータ</jpcoar:subject>
          <datacite:description descriptionType="Other">Intel oneAPI is a programming framework that accepts various accelerators such as GPUs, FPGAs, and multi-core CPUs, with a focus on HPC applications. Users can apply their code written in a single language, DPC++, to this heterogeneous programming environment. However, in practice, it is not easy to apply to different accelerators, especially for non-Intel devices such as NVIDIA and AMD GPUs. We have successfully constructed a oneAPI environment set to utilize the single DPC++ programming to handle true multi-hetero acceleration including NVIDIA GPU and Intel FPGA simultaneously. In this paper, we will show how this is done and what kind of applications can be targeted.</datacite:description>
          <datacite:description descriptionType="Other">Intel oneAPI is a programming framework that accepts various accelerators such as GPUs, FPGAs, and multi-core CPUs, with a focus on HPC applications. Users can apply their code written in a single language, DPC++, to this heterogeneous programming environment. However, in practice, it is not easy to apply to different accelerators, especially for non-Intel devices such as NVIDIA and AMD GPUs. We have successfully constructed a oneAPI environment set to utilize the single DPC++ programming to handle true multi-hetero acceleration including NVIDIA GPU and Intel FPGA simultaneously. In this paper, we will show how this is done and what kind of applications can be targeted.</datacite:description>
          <dc:publisher xml:lang="ja">情報処理学会</dc:publisher>
          <datacite:date dateType="Issued">2023-11-28</datacite:date>
          <dc:language>eng</dc:language>
          <dc:type rdf:resource="http://purl.org/coar/resource_type/c_18gh">technical report</dc:type>
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          <jpcoar:sourceIdentifier identifierType="ISSN">2188-8574</jpcoar:sourceIdentifier>
          <jpcoar:sourceIdentifier identifierType="NCID">AN10096105</jpcoar:sourceIdentifier>
          <jpcoar:sourceTitle>研究報告システム・アーキテクチャ（ARC）</jpcoar:sourceTitle>
          <jpcoar:volume>2023-ARC-255</jpcoar:volume>
          <jpcoar:issue>16</jpcoar:issue>
          <jpcoar:pageStart>1</jpcoar:pageStart>
          <jpcoar:pageEnd>7</jpcoar:pageEnd>
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            <datacite:date dateType="Available">2025-11-28</datacite:date>
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