From model to FPGA: Software-hardware co-design for efficient neural network acceleration

Research article (2016 IEEE Hot Chips 28 Symposium (HCS), 2016) · cited 52× · AI/ML
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From model to FPGA: Software-hardware co-design for efficient neural network acceleration

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From model to FPGA: Software-hardware co-design for efficient neural network acceleration is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). From model to FPGA: Software-hardware co-design for efficient neural network acceleration. Retrieved May 24, 2026, from https://4ort.xyz/entity/from-model-to-fpga-software-hardware-co-design-for-efficient-neural-network-acceleration
MLA “From model to FPGA: Software-hardware co-design for efficient neural network acceleration.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/from-model-to-fpga-software-hardware-co-design-for-efficient-neural-network-acceleration.
BibTeX @misc{4ortxyz_from-model-to-fpga-software-hardware-co-design-for-efficient-neural-network-acceleration_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{From model to FPGA: Software-hardware co-design for efficient neural network acceleration}}, year = {2026}, url = {https://4ort.xyz/entity/from-model-to-fpga-software-hardware-co-design-for-efficient-neural-network-acceleration}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): From model to FPGA: Software-hardware co-design for efficient neural network acceleration — https://4ort.xyz/entity/from-model-to-fpga-software-hardware-co-design-for-efficient-neural-network-acceleration (retrieved 2026-05-24)

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