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Enabling energy-efficient DNN training on hybrid GPU-FPGA accelerators

Research article (Proceedings of the ACM International Conference on Supercomputing, 2021) · cited 12× · AI/ML
academia openalex:W3159436656
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Enabling energy-efficient DNN training on hybrid GPU-FPGA accelerators

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Enabling energy-efficient DNN training on hybrid GPU-FPGA accelerators is a scholarly article[1].

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  • Enabling energy-efficient DNN training on hybrid GPU-FPGA accelerators's instance of is recorded as scholarly article[2].

Related Entities

Hao Chen

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Enabling energy-efficient DNN training on hybrid GPU-FPGA accelerators. Retrieved May 24, 2026, from https://4ort.xyz/entity/enabling-energy-efficient-dnn-training-on-hybrid-gpu-fpga-accelerators
MLA “Enabling energy-efficient DNN training on hybrid GPU-FPGA accelerators.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/enabling-energy-efficient-dnn-training-on-hybrid-gpu-fpga-accelerators.
BibTeX @misc{4ortxyz_enabling-energy-efficient-dnn-training-on-hybrid-gpu-fpga-accelerators_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Enabling energy-efficient DNN training on hybrid GPU-FPGA accelerators}}, year = {2026}, url = {https://4ort.xyz/entity/enabling-energy-efficient-dnn-training-on-hybrid-gpu-fpga-accelerators}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Enabling energy-efficient DNN training on hybrid GPU-FPGA accelerators — https://4ort.xyz/entity/enabling-energy-efficient-dnn-training-on-hybrid-gpu-fpga-accelerators (retrieved 2026-05-24)

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