Full-stack optimization for accelerating CNNs using powers-of-two weights with FPGA validation

Research article (Proceedings of the ACM International Conference on Supercomputing, 2019) · cited 31× · AI/ML
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Full-stack optimization for accelerating CNNs using powers-of-two weights with FPGA validation

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Full-stack optimization for accelerating CNNs using powers-of-two weights with FPGA validation is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Full-stack optimization for accelerating CNNs using powers-of-two weights with FPGA validation. Retrieved May 24, 2026, from https://4ort.xyz/entity/full-stack-optimization-for-accelerating-cnns-using-powers-of-two-weights-with-fpga-validation
MLA “Full-stack optimization for accelerating CNNs using powers-of-two weights with FPGA validation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/full-stack-optimization-for-accelerating-cnns-using-powers-of-two-weights-with-fpga-validation.
BibTeX @misc{4ortxyz_full-stack-optimization-for-accelerating-cnns-using-powers-of-two-weights-with-fpga-validation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Full-stack optimization for accelerating CNNs using powers-of-two weights with FPGA validation}}, year = {2026}, url = {https://4ort.xyz/entity/full-stack-optimization-for-accelerating-cnns-using-powers-of-two-weights-with-fpga-validation}, note = {Accessed: 2026-05-24}}
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