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1 Ergebnisse
1
RT-Swap: Addressing GPU Memory Bottlenecks for Real-Time Mu..:
, In:
2024 IEEE 30th Real-Time and Embedded Technology and Applications Symposium (RTAS)
,
Kang, Woosung
;
Lee, Jinkyu
;
Lee, Youngmoon
... - p. 373-385 , 2024
Link:
https://doi.org/10.1109/RTAS61025.2024.00037
RT T1 <cTitle>2024 IEEE 30th Real-Time and Embedded Technology and Applications Symposium (RTAS)</cTitle>: T1 <Title>RT-Swap: Addressing GPU Memory Bottlenecks for Real-Time Multi-DNN Inference</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10568074&Exemplar=1&LAN=DE A1 Kang, Woosung A1 Lee, Jinkyu A1 Lee, Youngmoon A1 Oh, Sangeun A1 Lee, Kilho A1 Chwa, Hoon Sung YR 2024 SN 2642-7346 K1 Scheduling algorithms K1 Memory management K1 Graphics processing units K1 Artificial neural networks K1 Machine learning K1 Drives K1 Real-time systems K1 Real-Time Scheduling K1 Deep Neural Network K1 Memory SP 373 OP 385 LK http://dx.doi.org/https://doi.org/10.1109/RTAS61025.2024.00037 DO https://doi.org/10.1109/RTAS61025.2024.00037 SF ELIB - SuUB Bremen
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