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Input-Aware Approximate Computing

Published:2022-05-19 Issue: Volume: Page:
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Container-title:2022 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR)
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Author:

Piri Ali¹,Saeedi Sepide²,Barbareschi Mario³,Deveautour Bastien¹,Carlo Stefano Di²,O'Connor Ian¹,Savino Alessandro²,Traiola Marcello⁴,Bosio Alberto¹

Affiliation:

1. Univ Lyon, ECL, INSA Lyon, CNRS, UCBL, CPE Lyon, INL, UMR5270,Ecully,France,69130

2. Politecnico di Torino,Dip. di Automatica e Informatica,Torino,Italy

3. University of Naples Federico II,Dep. of Electrical Engineering and Information Technology,Naples,Italy

4. University of Rennes, Inria, CNRS, IRISA, UMR6074

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9801904/9801909/09801944.pdf?arnumber=9801944

Reference28 articles.

1. Neural acceleration for general-purpose approximate programs

2. IMPACT: IMPrecise adders for low-power approximate computing

3. Low-Power Digital Signal Processing Using Approximate Adders

4. New metrics for the reliability of approximate and probabilistic adders;liang;Computers IEEE Transactions on,2013

5. A new speculative addition architecture suitable for two's complement operations

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. cecApprox: Enabling Automated Combinational Equivalence Checking for Approximate Circuits;IEEE Transactions on Circuits and Systems I: Regular Papers;2024-07

2. Approximate Fault-Tolerant Neural Network Systems;2024 IEEE European Test Symposium (ETS);2024-05-20

3. Input-aware accuracy characterization for approximate circuits;2023 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W);2023-06

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