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Transfer-learning-based Autotuning using Gaussian Copula:

, In: Proceedings of the 37th ACM International Conference on Supercomputing,

Randall, Thomas ; Koo, Jaehoon ; Videau, Brice... - p. 37-49 , 2023

Link: https://dl.acm.org/doi/10.1145/3577193.3593712

RT 
T1 <cTitle>Proceedings of the 37th ACM International Conference on Supercomputing</cTitle>: T1 <Title>Transfer-learning-based Autotuning using Gaussian Copula</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3593712&Exemplar=1&LAN=DE
				
A1 Randall, Thomas
A1 Koo, Jaehoon
A1 Videau, Brice
A1 Kruse, Michael
A1 Wu, Xingfu
A1 Hovland, Paul
A1 Hall, Mary
A1 Ge, Rong
A1 Balaprakash, Prasanna
PB ACM
YR 2023
K1 transfer learning
K1 autotuning
K1 few-shot learning
K1 gaussian copula
K1 Computing methodologies
K1 Machine learning
K1 Learning paradigms
K1 Multi-task learning
K1 Transfer learning
K1 Mathematics of computing
K1 Probability and statistics
K1 Probabilistic inference problems
K1 Hypothesis testing and confidence interval computation
K1 Software and its engineering
K1 Software notations and tools
K1 Compilers
K1 Source code generation
SP 37
OP 49
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3577193.3593712
DO https://dl.acm.org/doi/10.1145/3577193.3593712
SF ELIB - SuUB Bremen

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