https://dblp.org/rdf/schema#authoredBy
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https://dblp.org/pid/326/1026 +
, https://dblp.org/pid/373/7186 +
, https://dblp.org/pid/373/6779 +
, https://dblp.org/pid/332/4418 +
, https://dblp.org/pid/321/1800 +
, https://dblp.org/pid/304/2364 +
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, https://dblp.org/pid/254/2588-1 +
, https://dblp.org/pid/243/2364 +
, https://dblp.org/pid/72/7413 +
, https://dblp.org/pid/129/3026 +
|
https://dblp.org/rdf/schema#bibtexType
|
http://purl.org/net/nknouf/ns/bibtex#Inproceedings +
|
https://dblp.org/rdf/schema#createdBy
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https://dblp.org/pid/326/1026 +
, https://dblp.org/pid/373/7186 +
, https://dblp.org/pid/373/6779 +
, https://dblp.org/pid/332/4418 +
, https://dblp.org/pid/321/1800 +
, https://dblp.org/pid/304/2364 +
, https://dblp.org/pid/121/3324 +
, https://dblp.org/pid/254/2588-1 +
, https://dblp.org/pid/243/2364 +
, https://dblp.org/pid/72/7413 +
, https://dblp.org/pid/129/3026 +
|
https://dblp.org/rdf/schema#documentPage
|
https://doi.org/10.1145/3620666.3651383 +
|
https://dblp.org/rdf/schema#doi
|
https://doi.org/10.1145/3620666.3651383 +
|
https://dblp.org/rdf/schema#listedOnTocPage
|
https://dblp.org/db/conf/asplos/asplos2024-3 +
|
https://dblp.org/rdf/schema#numberOfCreators
|
11
|
https://dblp.org/rdf/schema#pagination
|
755-769
|
https://dblp.org/rdf/schema#primaryDocumentPage
|
https://doi.org/10.1145/3620666.3651383 +
|
https://dblp.org/rdf/schema#publishedAsPartOf
|
https://dblp.org/rec/conf/asplos/2024-3 +
|
https://dblp.org/rdf/schema#publishedIn
|
ASPLOS (3)
|
https://dblp.org/rdf/schema#publishedInBook
|
ASPLOS (3)
|
https://dblp.org/rdf/schema#publishedInStream
|
https://dblp.org/streams/conf/asplos +
|
https://dblp.org/rdf/schema#title
|
Optimal Kernel Orchestration for Tensor Programs with Korch.
|
https://dblp.org/rdf/schema#yearOfEvent
|
2024
|
https://dblp.org/rdf/schema#yearOfPublication
|
2024
|
owl:sameAs |
https://doi.org/10.1145/3620666.3651383 +
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|
rdf:type |
https://dblp.org/rdf/schema#Publication +
, https://dblp.org/rdf/schema#Inproceedings +
|
rdfs:label |
Muyan Hu et al.: Optimal Kernel Orchestration for Tensor Programs with Korch. (2024)
|