Automatic Generation of Fast and Accurate Performance Models for Deep Neural Network Accelerators

dc.contributor.author	Wedlich, Felix
dc.contributor.author	Steinmetz, Jannik
dc.contributor.author	Biermaier, Valentin
dc.contributor.author	Frischknecht, Adrian
dc.contributor.author	Bernardo, Paul Palomero
dc.contributor.author	Bringmann, Oliver
dc.contributor.author	Lübeck, Konstantin
dc.contributor.author	Jung, Alexander
dc.contributor.author	Müller, Mika Markus
dc.date.accessioned	2026-02-03T09:20:36Z
dc.date.available	2026-02-03T09:20:36Z
dc.date.issued	2025
dc.identifier.issn	1539-9087
dc.identifier.uri	http://hdl.handle.net/10900/174673
dc.language.iso	en	de_DE
dc.publisher	New York : Assoc Computing Machinery	de_DE
dc.relation.uri	http://dx.doi.org/10.1145/3715122	de_DE
dc.subject.ddc	004	de_DE
dc.title	Automatic Generation of Fast and Accurate Performance Models for Deep Neural Network Accelerators	de_DE
dc.type	Article	de_DE
utue.quellen.id	20250630000000_01491
utue.publikation.seiten	1-32	de_DE
utue.personen.roh	Luebeck, Konstantin
utue.personen.roh	Jung, Alexander Louis-Ferdinand
utue.personen.roh	Wedlich, Felix
utue.personen.roh	Mueller, Mika Markus
utue.personen.roh	Peccia, Federico Nicolas
utue.personen.roh	Thoemmes, Felix
utue.personen.roh	Steinmetz, Jannik
utue.personen.roh	Biermaier, Valentin
utue.personen.roh	Frischknecht, Adrian
utue.personen.roh	Bernardo, Paul Palomero
utue.personen.roh	Bringmann, Oliver
dcterms.isPartOf.ZSTitelID	Acm Transactions on Embedded Computing Systems	de_DE
dcterms.isPartOf.ZS-Issue	Article 36	de_DE
dcterms.isPartOf.ZS-Volume	24 (2)	de_DE
utue.fakultaet	07 Mathematisch-Naturwissenschaftliche Fakultät	de_DE