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On the Anatomy of Predictive Models for Accelerating GPU Co..:

Labini, Paolo Sylos ; Cianfriglia, Marco ; Perri, Damiano...
ACM Transactions on Architecture and Code Optimization (TACO). 18 (2021) 1 - p. 1-24 , 2021

Link: https://dl.acm.org/doi/10.1145/3434402

RT Journal
T1 <Title>On the Anatomy of Predictive Models for Accelerating GPU Convolution Kernels and Beyond</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3434402&Exemplar=1&LAN=DE
				
A1 Labini, Paolo Sylos
A1 Cianfriglia, Marco
A1 Perri, Damiano
A1 Gervasi, Osvaldo
A1 Fursin, Grigori
A1 Lokhmotov, Anton
A1 Nugteren, Cedric
A1 Carpentieri, Bruno
A1 Zollo, Fabiana
A1 Vella, Flavio
PB ACM
YR 2021
SN 1544-3566
SN 1544-3973
K1 GPU computing
K1 neural networks
K1 performance optimization
K1 predictive models
K1 supervised classification
K1 tuning
K1 General and reference
K1 Cross-computing tools and techniques
K1 Performance
K1 Computing methodologies
K1 Modeling and simulation
K1 Model development and analysis
K1 Modeling methodologies
K1 Computer systems organization
K1 Architectures
K1 Parallel architectures
JF ACM Transactions on Architecture and Code Optimization (TACO)
VO 18
IS 1
SP 1
OP 24
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3434402
DO https://dl.acm.org/doi/10.1145/3434402
SF ELIB - SuUB Bremen

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