Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework

Research article (2021 IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2021) · cited 117× · AI/ML
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Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework

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Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework. Retrieved May 24, 2026, from https://4ort.xyz/entity/mix-and-match-a-novel-fpga-centric-deep-neural-network-quantization-framework
MLA “Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/mix-and-match-a-novel-fpga-centric-deep-neural-network-quantization-framework.
BibTeX @misc{4ortxyz_mix-and-match-a-novel-fpga-centric-deep-neural-network-quantization-framework_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework}}, year = {2026}, url = {https://4ort.xyz/entity/mix-and-match-a-novel-fpga-centric-deep-neural-network-quantization-framework}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework — https://4ort.xyz/entity/mix-and-match-a-novel-fpga-centric-deep-neural-network-quantization-framework (retrieved 2026-05-24)

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