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AdaPT: Fast Emulation of Approximate DNN Accelerators in PyTorch

Research article (IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2022) · cited 43× · AI/ML
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AdaPT: Fast Emulation of Approximate DNN Accelerators in PyTorch

Summary

AdaPT: Fast Emulation of Approximate DNN Accelerators in PyTorch is a scholarly article[1].

Key Facts

  • AdaPT: Fast Emulation of Approximate DNN Accelerators in PyTorch's instance of is recorded as scholarly article[2].

Related Entities

Jörg Henkel

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). AdaPT: Fast Emulation of Approximate DNN Accelerators in PyTorch. Retrieved May 24, 2026, from https://4ort.xyz/entity/adapt-fast-emulation-of-approximate-dnn-accelerators-in-pytorch
MLA “AdaPT: Fast Emulation of Approximate DNN Accelerators in PyTorch.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/adapt-fast-emulation-of-approximate-dnn-accelerators-in-pytorch.
BibTeX @misc{4ortxyz_adapt-fast-emulation-of-approximate-dnn-accelerators-in-pytorch_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{AdaPT: Fast Emulation of Approximate DNN Accelerators in PyTorch}}, year = {2026}, url = {https://4ort.xyz/entity/adapt-fast-emulation-of-approximate-dnn-accelerators-in-pytorch}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): AdaPT: Fast Emulation of Approximate DNN Accelerators in PyTorch — https://4ort.xyz/entity/adapt-fast-emulation-of-approximate-dnn-accelerators-in-pytorch (retrieved 2026-05-24)

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