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1 Ergebnisse
1
DyBatch: Efficient Batching and Fair Scheduling for Deep Le..:
, In:
2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID)
,
Zhang, Shaojun
;
Li, Wei
;
Wang, Chen
.. - p. 609-618 , 2020
Link:
https://doi.org/10.1109/CCGrid49817.2020.00-32
RT T1 <cTitle>2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID)</cTitle>: T1 <Title>DyBatch: Efficient Batching and Fair Scheduling for Deep Learning Inference on Time-sharing Devices</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9139602&Exemplar=1&LAN=DE A1 Zhang, Shaojun A1 Li, Wei A1 Wang, Chen A1 Tari, Zahir A1 Zomaya, Albert Y. YR 2020 K1 Task analysis K1 Resource management K1 Scheduling K1 Machine learning K1 Graphics processing units K1 Data models K1 Throughput K1 deep learning inference K1 batching K1 scheduling K1 efficiency K1 fairness K1 model serving SP 609 OP 618 LK http://dx.doi.org/https://doi.org/10.1109/CCGrid49817.2020.00-32 DO https://doi.org/10.1109/CCGrid49817.2020.00-32 SF ELIB - SuUB Bremen
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