Using continuous statistical machine learning to enable high-speed performance prediction in hybrid instruction-/cycle-accurate instruction set simulators. | D2R Server publishing the DBLP Bibliography Database, hosted at L3S Research Center

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dc:creator	<http://dblp.l3s.de/d2r/resource/authors/Bj%C3%B6rn_Franke>
dc:creator	<http://dblp.l3s.de/d2r/resource/authors/Daniel_Christopher_Powell>
foaf:homepage	<http://doi.acm.org/10.1145/1629435.1629478>
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dc:identifier	DBLP conf/codes/PowellF09 (xsd:string)
dc:identifier	DOI 10.1145%2F1629435.1629478 (xsd:string)
dcterms:issued	2009 (xsd:gYear)
rdfs:label	Using continuous statistical machine learning to enable high-speed performance prediction in hybrid instruction-/cycle-accurate instruction set simulators. (xsd:string)
foaf:maker	<http://dblp.l3s.de/d2r/resource/authors/Bj%C3%B6rn_Franke>
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rdfs:seeAlso	<http://doi.acm.org/10.1145/1629435.1629478>
swrc:series	<http://dblp.l3s.de/d2r/resource/conferences/codes>
dc:subject	continuous statistical machine learning, instruction set simulator, performance prediction (xsd:string)
dc:title	Using continuous statistical machine learning to enable high-speed performance prediction in hybrid instruction-/cycle-accurate instruction set simulators. (xsd:string)
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