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1
FusedGCN: A Systolic Three-Matrix Multiplication Architectu..:
, In:
2022 IEEE 33rd International Conference on Application-specific Systems, Architectures and Processors (ASAP)
,
Peltekis, Christodoulos
;
Filippas, Dionysios
;
Nicopoulos, Chrysostomos
. - p. 93-97 , 2022
Link:
https://doi.org/10.1109/ASAP54787.2022.00024
RT T1 <cTitle>2022 IEEE 33rd International Conference on Application-specific Systems, Architectures and Processors (ASAP)</cTitle>: T1 <Title>FusedGCN: A Systolic Three-Matrix Multiplication Architecture for Graph Convolutional Networks</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9912105&Exemplar=1&LAN=DE A1 Peltekis, Christodoulos A1 Filippas, Dionysios A1 Nicopoulos, Chrysostomos A1 Dimitrakopoulos, Giorgos YR 2022 SN 2160-052X K1 Training K1 Convolution K1 Systems architecture K1 Computer architecture K1 Machine learning K1 Bandwidth K1 Systolic arrays K1 Graph Neural Networks K1 Graph Convolution K1 Machine Learning Accelerators SP 93 OP 97 LK http://dx.doi.org/https://doi.org/10.1109/ASAP54787.2022.00024 DO https://doi.org/10.1109/ASAP54787.2022.00024 SF ELIB - SuUB Bremen
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