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High-Performance and Programmable Attentional Graph Neural ..:

, In: SC23: International Conference for High Performance Computing, Networking, Storage and Analysis,

Besta, Maciej ; Renc, Pawel ; Gerstenberger, Robert... - p. 1-18 , 2023

Link: https://doi.org/10.1145/3581784.3607067

RT 
T1 <cTitle>SC23: International Conference for High Performance Computing, Networking, Storage and Analysis</cTitle>: T1 <Title>High-Performance and Programmable Attentional Graph Neural Networks with Global Tensor Formulations</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-10485183&Exemplar=1&LAN=DE
				
A1 Besta, Maciej
A1 Renc, Pawel
A1 Gerstenberger, Robert
A1 Labini, Paolo Sylos
A1 Ziogas, Alexandros
A1 Chen, Tiancheng
A1 Gianinazzi, Lukas
A1 Scheidl, Florian
A1 Szenes, Kalman
A1 Carigiet, Armon
A1 Iff, Patrick
A1 Kwasniewski, Grzegorz
A1 Kanakagiri, Raghavendra
A1 Ge, Chio
A1 Jaeger, Sammy
A1 Was, Jaroslaw
A1 Vella, Flavio
A1 Hoefler, Torsten
YR 2023
SN 2167-4337
K1 Training
K1 Tensors
K1 Scalability
K1 High performance computing
K1 Graph neural networks
K1 Libraries
K1 Vectors
K1 Graph Attention Models
K1 Graph Neural Networks
K1 Sparse-Dense Tensor Operations
SP 1
OP 18
LK http://dx.doi.org/https://doi.org/10.1145/3581784.3607067
DO https://doi.org/10.1145/3581784.3607067
SF ELIB - SuUB Bremen

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