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1 Ergebnisse
1
Performance of CPUs and GPUs on Deep Learning Models For He..:
, In:
2022 6th International Conference on Electronics, Communication and Aerospace Technology
,
S, Nishanth
;
Rao, Manu S
;
B M, Sagar
.. - p. 978-985 , 2022
Link:
https://doi.org/10.1109/ICECA55336.2022.10009148
RT T1 <cTitle>2022 6th International Conference on Electronics, Communication and Aerospace Technology</cTitle>: T1 <Title>Performance of CPUs and GPUs on Deep Learning Models For Heterogeneous Datasets</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10009148&Exemplar=1&LAN=DE A1 S, Nishanth A1 Rao, Manu S A1 B M, Sagar A1 T, Padmashree A1 N K, Cauvery YR 2022 K1 Training K1 Deep learning K1 Recurrent neural networks K1 Image processing K1 Neural networks K1 Graphics processing units K1 Convolutional neural networks K1 GPU (Graphics Processing Unit) K1 CPU (Central Processing Unit) K1 Neural Networks K1 ANN (Artificial Neural Network) K1 CNN (Convolutional Neural Network) K1 RNN (Recurrent Neural Network) K1 LSTM (Long Short Term Memory) K1 Bandwidth K1 VRAM (Video RAM) K1 Parallelization SP 978 OP 985 LK http://dx.doi.org/https://doi.org/10.1109/ICECA55336.2022.10009148 DO https://doi.org/10.1109/ICECA55336.2022.10009148 SF ELIB - SuUB Bremen
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