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DyBatch: Efficient Batching and Fair Scheduling for Deep Learning Inference on Time-sharing Devices

Research article (2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID), 2020) · cited 10× · AI/ML
academia openalex:W3043302551
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DyBatch: Efficient Batching and Fair Scheduling for Deep Learning Inference on Time-sharing Devices

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DyBatch: Efficient Batching and Fair Scheduling for Deep Learning Inference on Time-sharing Devices is a scholarly article[1].

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  • DyBatch: Efficient Batching and Fair Scheduling for Deep Learning Inference on Time-sharing Devices's instance of is recorded as scholarly article[2].

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Albert Zomaya

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APA 4ort.xyz Knowledge Graph. (2026). DyBatch: Efficient Batching and Fair Scheduling for Deep Learning Inference on Time-sharing Devices. Retrieved May 24, 2026, from https://4ort.xyz/entity/dybatch-efficient-batching-and-fair-scheduling-for-deep-learning-inference-on-time-sharing-devices
MLA “DyBatch: Efficient Batching and Fair Scheduling for Deep Learning Inference on Time-sharing Devices.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/dybatch-efficient-batching-and-fair-scheduling-for-deep-learning-inference-on-time-sharing-devices.
BibTeX @misc{4ortxyz_dybatch-efficient-batching-and-fair-scheduling-for-deep-learning-inference-on-time-sharing-devices_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DyBatch: Efficient Batching and Fair Scheduling for Deep Learning Inference on Time-sharing Devices}}, year = {2026}, url = {https://4ort.xyz/entity/dybatch-efficient-batching-and-fair-scheduling-for-deep-learning-inference-on-time-sharing-devices}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): DyBatch: Efficient Batching and Fair Scheduling for Deep Learning Inference on Time-sharing Devices — https://4ort.xyz/entity/dybatch-efficient-batching-and-fair-scheduling-for-deep-learning-inference-on-time-sharing-devices (retrieved 2026-05-24)

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