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SimNet : Accurate and High-Performance Computer Architec..:
, In:
Abstract Proceedings of the 2022 ACM SIGMETRICS/IFIP PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems
,
Li, Lingda
;
Pandey, Santosh
;
Flynn, Thomas
... - p. 67-68 , 2022
Link:
https://dl.acm.org/doi/10.1145/3489048.3530958
RT T1 <cTitle>Abstract Proceedings of the 2022 ACM SIGMETRICS/IFIP PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems</cTitle>: T1 <Title>SimNet : Accurate and High-Performance Computer Architecture Simulation using Deep Learning</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3530958&Exemplar=1&LAN=DE A1 Li, Lingda A1 Pandey, Santosh A1 Flynn, Thomas A1 Liu, Hang A1 Wheeler, Noel A1 Hoisie, Adolfy PB ACM YR 2022 K1 computer architecture simulation K1 deep learning K1 gpu K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks K1 Modeling and simulation K1 Simulation types and techniques K1 Discrete-event simulation SP 67 OP 68 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3489048.3530958 DO https://dl.acm.org/doi/10.1145/3489048.3530958 SF ELIB - SuUB Bremen
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