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Evaluating and Enhancing Intel® Stratix® 10 FPGAs for Persi..:

, In: Proceedings of the 2019 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays,

Nurvitadhi, Eriko ; Kwon, Dongup ; Jafari, Ali... - p. 119 ff. , 2019

Link: https://dl.acm.org/doi/10.1145/3289602.3293943

RT 
T1 <cTitle>Proceedings of the 2019 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays</cTitle>: T1 <Title>Evaluating and Enhancing Intel® Stratix® 10 FPGAs for Persistent Real-Time AI</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3293943&Exemplar=1&LAN=DE
				
A1 Nurvitadhi, Eriko
A1 Kwon, Dongup
A1 Jafari, Ali
A1 Boutros, Andrew
A1 Sim, Jaewoong
A1 Tomson, Phillip
A1 Sumbul, Huseyin
A1 Chen, Gregory
A1 Knag, Phil
A1 Kumar, Raghavan
A1 Krishnamurthy, Ram
A1 Marr, Debbie
A1 Gribok, Sergey
A1 Pasca, Bogdan
A1 Langhammer, Martin
A1 Dasu, Aravind
PB ACM
YR 2019
K1 ai
K1 asic
K1 deep learning
K1 fpga
K1 gpu
K1 real-time
K1 Computing methodologies
K1 Machine learning
K1 Machine learning approaches
K1 Neural networks
K1 Hardware
K1 Integrated circuits
K1 Reconfigurable logic and FPGAs
K1 Hardware accelerators
K1 Computer systems organization
K1 Architectures
K1 Other architectures
SP 119 ff.
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3289602.3293943
DO https://dl.acm.org/doi/10.1145/3289602.3293943
SF ELIB - SuUB Bremen

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