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1
A data-centric optimization framework for machine learning:
, In:
Proceedings of the 36th ACM International Conference on Supercomputing
,
Rausch, Oliver
;
Ben-Nun, Tal
;
Dryden, Nikoli
... - p. 1-13 , 2022
Link:
https://dl.acm.org/doi/10.1145/3524059.3532364
RT T1 <cTitle>Proceedings of the 36th ACM International Conference on Supercomputing</cTitle>: T1 <Title>A data-centric optimization framework for machine learning</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3532364&Exemplar=1&LAN=DE A1 Rausch, Oliver A1 Ben-Nun, Tal A1 Dryden, Nikoli A1 Ivanov, Andrei A1 Li, Shigang A1 Hoefler, Torsten PB ACM YR 2022 K1 deep neural network compilers K1 machine learning K1 training optimization K1 Software and its engineering K1 Software notations and tools K1 Compilers K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks SP 1 OP 13 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3524059.3532364 DO https://dl.acm.org/doi/10.1145/3524059.3532364 SF ELIB - SuUB Bremen
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