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1 Ergebnisse
1
MoCA: Memory-Centric, Adaptive Execution for Multi-Tenant D..:
, In:
2023 IEEE International Symposium on High-Performance Computer Architecture (HPCA)
,
Kim, Seah
;
Genc, Hasan
;
Nikiforov, Vadim Vadimovich
... - p. 828-841 , 2023
Link:
https://doi.org/10.1109/HPCA56546.2023.10071035
RT T1 <cTitle>2023 IEEE International Symposium on High-Performance Computer Architecture (HPCA)</cTitle>: T1 <Title>MoCA: Memory-Centric, Adaptive Execution for Multi-Tenant Deep Neural Networks</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10071035&Exemplar=1&LAN=DE A1 Kim, Seah A1 Genc, Hasan A1 Nikiforov, Vadim Vadimovich A1 Asanovic, Krste A1 Nikolic, Borivoje A1 Shao, Yakun Sophia YR 2023 SN 2378-203X K1 Deep learning K1 Degradation K1 Adaptive systems K1 Neural networks K1 Accelerator architectures K1 Quality of service K1 Throughput SP 828 OP 841 LK http://dx.doi.org/https://doi.org/10.1109/HPCA56546.2023.10071035 DO https://doi.org/10.1109/HPCA56546.2023.10071035 SF ELIB - SuUB Bremen
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