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dcterms:bibliographicCitation <http://dblp.uni-trier.de/rec/bibtex/conf/mlsys/XiePBP0MBLZ22>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Azalia_Mirhoseini>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Eugene_Brevdo>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/James_Laudon>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Phitchaya_Mangpo_Phothilimthana>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Prakash_Prabhu>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Sudip_Roy_0002>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Ulysse_Beaugnon>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Xinfeng_Xie>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Yanqi_Zhou>
foaf:homepage <https://proceedings.mlsys.org/paper/2022/hash/7f1de29e6da19d22b51c68001e7e0e54-Abstract.html>
dc:identifier DBLP conf/mlsys/XiePBP0MBLZ22 (xsd:string)
dcterms:issued 2022 (xsd:gYear)
rdfs:label A Transferable Approach for Partitioning Machine Learning Models on Multi-Chip-Modules. (xsd:string)
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Azalia_Mirhoseini>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Eugene_Brevdo>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/James_Laudon>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Phitchaya_Mangpo_Phothilimthana>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Prakash_Prabhu>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Sudip_Roy_0002>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Ulysse_Beaugnon>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Xinfeng_Xie>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Yanqi_Zhou>
dcterms:partOf <https://dblp.l3s.de/d2r/resource/publications/conf/mlsys/2022>
owl:sameAs <http://bibsonomy.org/uri/bibtexkey/conf/mlsys/XiePBP0MBLZ22/dblp>
owl:sameAs <http://dblp.rkbexplorer.com/id/conf/mlsys/XiePBP0MBLZ22>
rdfs:seeAlso <http://dblp.uni-trier.de/db/conf/mlsys/mlsys2022.html#XiePBP0MBLZ22>
rdfs:seeAlso <https://proceedings.mlsys.org/paper/2022/hash/7f1de29e6da19d22b51c68001e7e0e54-Abstract.html>
swrc:series <https://dblp.l3s.de/d2r/resource/conferences/mlsys>
dc:title A Transferable Approach for Partitioning Machine Learning Models on Multi-Chip-Modules. (xsd:string)
dc:type <http://purl.org/dc/dcmitype/Text>
rdf:type swrc:InProceedings
rdf:type foaf:Document