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<titleInfo><title>Self-aware Operation of Heterogeneous Compute Nodes using the Learning Classifier System XCS</title></titleInfo>


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<name type="personal">
  <namePart type="given">Tim</namePart>
  <namePart type="family">Hansmeier</namePart>
  <role><roleTerm type="text">author</roleTerm> </role><identifier type="local">49992</identifier><description xsi:type="identifierDefinition" type="orcid">0000-0003-1377-3339</description></name>







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  <namePart>International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies (HEART ’21)</namePart>
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  <namePart>SFB 901 - Project Area C</namePart>
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  <namePart>SFB 901: SFB 901</namePart>
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  <namePart>SFB 901 - C2: SFB 901 - Subproject C2</namePart>
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<originInfo><publisher>Association for Computing Machinery (ACM)</publisher><dateIssued encoding="w3cdtf">2021</dateIssued><place><placeTerm type="text">Online</placeTerm></place>
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<language><languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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<relatedItem type="host"><titleInfo><title>HEART &apos;21: Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies</title></titleInfo><identifier type="doi">10.1145/3468044.3468055</identifier>
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<ama>Hansmeier T. Self-aware Operation of Heterogeneous Compute Nodes using the Learning Classifier System XCS. In: &lt;i&gt;HEART ’21: Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies&lt;/i&gt;. Association for Computing Machinery (ACM); 2021. doi:&lt;a href=&quot;https://doi.org/10.1145/3468044.3468055&quot;&gt;10.1145/3468044.3468055&lt;/a&gt;</ama>
<ieee>T. Hansmeier, “Self-aware Operation of Heterogeneous Compute Nodes using the Learning Classifier System XCS,” presented at the International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies (HEART ’21), Online, 2021, doi: &lt;a href=&quot;https://doi.org/10.1145/3468044.3468055&quot;&gt;10.1145/3468044.3468055&lt;/a&gt;.</ieee>
<chicago>Hansmeier, Tim. “Self-Aware Operation of Heterogeneous Compute Nodes Using the Learning Classifier System XCS.” In &lt;i&gt;HEART ’21: Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies&lt;/i&gt;. New York, NY, United States: Association for Computing Machinery (ACM), 2021. &lt;a href=&quot;https://doi.org/10.1145/3468044.3468055&quot;&gt;https://doi.org/10.1145/3468044.3468055&lt;/a&gt;.</chicago>
<apa>Hansmeier, T. (2021). Self-aware Operation of Heterogeneous Compute Nodes using the Learning Classifier System XCS. &lt;i&gt;HEART ’21: Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies&lt;/i&gt;. International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies (HEART ’21), Online. &lt;a href=&quot;https://doi.org/10.1145/3468044.3468055&quot;&gt;https://doi.org/10.1145/3468044.3468055&lt;/a&gt;</apa>
<short>T. Hansmeier, in: HEART ’21: Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies, Association for Computing Machinery (ACM), New York, NY, United States, 2021.</short>
<bibtex>@inproceedings{Hansmeier_2021, place={New York, NY, United States}, title={Self-aware Operation of Heterogeneous Compute Nodes using the Learning Classifier System XCS}, DOI={&lt;a href=&quot;https://doi.org/10.1145/3468044.3468055&quot;&gt;10.1145/3468044.3468055&lt;/a&gt;}, booktitle={HEART ’21: Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies}, publisher={Association for Computing Machinery (ACM)}, author={Hansmeier, Tim}, year={2021} }</bibtex>
<mla>Hansmeier, Tim. “Self-Aware Operation of Heterogeneous Compute Nodes Using the Learning Classifier System XCS.” &lt;i&gt;HEART ’21: Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies&lt;/i&gt;, Association for Computing Machinery (ACM), 2021, doi:&lt;a href=&quot;https://doi.org/10.1145/3468044.3468055&quot;&gt;10.1145/3468044.3468055&lt;/a&gt;.</mla>
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