<?xml version="1.0" encoding="utf-8"?>
<export-example>
  <doc>
    <id>2877</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>11</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <articleNumber>20</articleNumber>
    <type>conferenceobject</type>
    <publisherName>ACM</publisherName>
    <publisherPlace>New York</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2022-10-13</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">AnySeq/GPU: A Novel Approach for Faster Sequence Alignment on GPUs</title>
    <parentTitle language="eng">Proceedings of the 36th ACM International Conference on Supercomputing (ICS-2022)</parentTitle>
    <identifier type="isbn">978-1-4503-9281-5</identifier>
    <enrichment key="THI_review">peer-review</enrichment>
    <enrichment key="THI_openaccess">nein</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="THI_conferenceName">ICS '22: 2022 International Conference on Supercomputing, online, 28.-30.06.2022</enrichment>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.1145/3524059.3532376</enrichment>
    <author>
      <first_name>André</first_name>
      <last_name>Müller</last_name>
    </author>
    <author>
      <first_name>Bertil</first_name>
      <last_name>Schmidt</last_name>
    </author>
    <author>
      <first_name>Richard</first_name>
      <last_name>Membarth</last_name>
    </author>
    <author>
      <first_name>Roland</first_name>
      <last_name>Leißa</last_name>
    </author>
    <author>
      <first_name>Sebastian</first_name>
      <last_name>Hack</last_name>
    </author>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="institutes" number="19379">AImotion Bavaria</collection>
    <collection role="persons" number="43674">Membarth, Richard</collection>
  </doc>
</export-example>
