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FlexCNN: An End-to-end Framework for Composing CNN Accelerators on FPGA

Research article (ACM Transactions on Reconfigurable Technology and Systems, 2022) · cited 59× · AI/ML
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FlexCNN: An End-to-end Framework for Composing CNN Accelerators on FPGA

Summary

FlexCNN: An End-to-end Framework for Composing CNN Accelerators on FPGA is a scholarly article[1].

Key Facts

  • FlexCNN: An End-to-end Framework for Composing CNN Accelerators on FPGA's instance of is recorded as scholarly article[2].

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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). FlexCNN: An End-to-end Framework for Composing CNN Accelerators on FPGA. Retrieved May 24, 2026, from https://4ort.xyz/entity/flexcnn-an-end-to-end-framework-for-composing-cnn-accelerators-on-fpga
MLA “FlexCNN: An End-to-end Framework for Composing CNN Accelerators on FPGA.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/flexcnn-an-end-to-end-framework-for-composing-cnn-accelerators-on-fpga.
BibTeX @misc{4ortxyz_flexcnn-an-end-to-end-framework-for-composing-cnn-accelerators-on-fpga_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{FlexCNN: An End-to-end Framework for Composing CNN Accelerators on FPGA}}, year = {2026}, url = {https://4ort.xyz/entity/flexcnn-an-end-to-end-framework-for-composing-cnn-accelerators-on-fpga}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): FlexCNN: An End-to-end Framework for Composing CNN Accelerators on FPGA — https://4ort.xyz/entity/flexcnn-an-end-to-end-framework-for-composing-cnn-accelerators-on-fpga (retrieved 2026-05-24)

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