DeepBurning-MixQ: An Open Source Mixed-Precision Neural Network Accelerator Design Framework for FPGAs

Research article (2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD), 2023) · cited 12× · AI/ML
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DeepBurning-MixQ: An Open Source Mixed-Precision Neural Network Accelerator Design Framework for FPGAs

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DeepBurning-MixQ: An Open Source Mixed-Precision Neural Network Accelerator Design Framework for FPGAs is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). DeepBurning-MixQ: An Open Source Mixed-Precision Neural Network Accelerator Design Framework for FPGAs. Retrieved May 24, 2026, from https://4ort.xyz/entity/deepburning-mixq-an-open-source-mixed-precision-neural-network-accelerator-design-framework-for-fpgas
MLA “DeepBurning-MixQ: An Open Source Mixed-Precision Neural Network Accelerator Design Framework for FPGAs.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deepburning-mixq-an-open-source-mixed-precision-neural-network-accelerator-design-framework-for-fpgas.
BibTeX @misc{4ortxyz_deepburning-mixq-an-open-source-mixed-precision-neural-network-accelerator-design-framework-for-fpgas_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DeepBurning-MixQ: An Open Source Mixed-Precision Neural Network Accelerator Design Framework for FPGAs}}, year = {2026}, url = {https://4ort.xyz/entity/deepburning-mixq-an-open-source-mixed-precision-neural-network-accelerator-design-framework-for-fpgas}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): DeepBurning-MixQ: An Open Source Mixed-Precision Neural Network Accelerator Design Framework for FPGAs — https://4ort.xyz/entity/deepburning-mixq-an-open-source-mixed-precision-neural-network-accelerator-design-framework-for-fpgas (retrieved 2026-05-24)

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