A Low-cost Residue-based Scheme for Error-resiliency of RNN Accelerators
Author:
Affiliation:
1. University of Tehran,School of Electrical and Computer Engineering, College of Engineering,Tehran,Iran
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10139314/10138940/10139388.pdf?arnumber=10139388
Reference19 articles.
1. FitAct: Error Resilient Deep Neural Networks via Fine-Grained Post-Trainable Activation Functions
2. Minerva
3. Design of Fault-Secure Transposed FIR Filters Protected Using Residue Codes
4. Arithmetic Error Codes: Cost and Effectiveness Studies for Application in Digital System Design
5. Selective Hardening for Neural Networks in FPGAs
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1. Analysis and Enhancement of Resilience for LSTM Accelerators Using Residue-Based CEDs;IEEE Access;2024
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