RED: A ReRAM-Based Efficient Accelerator for Deconvolutional Computation

Research article (IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2020) · cited 12× · AI/ML
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RED: A ReRAM-Based Efficient Accelerator for Deconvolutional Computation

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RED: A ReRAM-Based Efficient Accelerator for Deconvolutional Computation is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). RED: A ReRAM-Based Efficient Accelerator for Deconvolutional Computation. Retrieved May 24, 2026, from https://4ort.xyz/entity/red-a-reram-based-efficient-accelerator-for-deconvolutional-computation
MLA “RED: A ReRAM-Based Efficient Accelerator for Deconvolutional Computation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/red-a-reram-based-efficient-accelerator-for-deconvolutional-computation.
BibTeX @misc{4ortxyz_red-a-reram-based-efficient-accelerator-for-deconvolutional-computation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{RED: A ReRAM-Based Efficient Accelerator for Deconvolutional Computation}}, year = {2026}, url = {https://4ort.xyz/entity/red-a-reram-based-efficient-accelerator-for-deconvolutional-computation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): RED: A ReRAM-Based Efficient Accelerator for Deconvolutional Computation — https://4ort.xyz/entity/red-a-reram-based-efficient-accelerator-for-deconvolutional-computation (retrieved 2026-05-24)

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