Stuck-at Faults in ReRAM Neuromorphic Circuit Array and their Correction through Machine Learning
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Sawal, Vedant, Wong, Hiu Yung |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Application of Machine Learning for Correcting Defect-induced Neuromorphic Circuit Inference Errors
par: Sawal, Vedant, et autres
Publié: (2025)
par: Sawal, Vedant, et autres
Publié: (2025)
A Realistic Simulation Framework for Analog/Digital Neuromorphic Architectures
par: Quintana, Fernando M., et autres
Publié: (2024)
par: Quintana, Fernando M., et autres
Publié: (2024)
Advancing Neuromorphic Computing: Mixed-Signal Design Techniques Leveraging Brain Code Units and Fundamental Code Units
par: Isik, Murat, et autres
Publié: (2024)
par: Isik, Murat, et autres
Publié: (2024)
Benchmarking the Energy Cost of Assurance in Neuromorphic Edge Robotics
par: Kaczmarek, Sylvester
Publié: (2026)
par: Kaczmarek, Sylvester
Publié: (2026)
NeuroNAS: Enhancing Efficiency of Neuromorphic In-Memory Computing for Intelligent Mobile Agents through Hardware-Aware Spiking Neural Architecture Search
par: Putra, Rachmad Vidya Wicaksana, et autres
Publié: (2024)
par: Putra, Rachmad Vidya Wicaksana, et autres
Publié: (2024)
Enabling Efficient Processing of Spiking Neural Networks with On-Chip Learning on Commodity Neuromorphic Processors for Edge AI Systems
par: Putra, Rachmad Vidya Wicaksana, et autres
Publié: (2025)
par: Putra, Rachmad Vidya Wicaksana, et autres
Publié: (2025)
YANA: Bridging the Neuromorphic Simulation-to-Hardware Gap
par: Pachideh, Brian, et autres
Publié: (2026)
par: Pachideh, Brian, et autres
Publié: (2026)
Explore Activation Sparsity in Recurrent LLMs for Energy-Efficient Neuromorphic Computing
par: Knunyants, Ivan, et autres
Publié: (2025)
par: Knunyants, Ivan, et autres
Publié: (2025)
Neuromorphic Principles for Efficient Large Language Models on Intel Loihi 2
par: Abreu, Steven, et autres
Publié: (2025)
par: Abreu, Steven, et autres
Publié: (2025)
A Quarter of a Century of Neuromorphic Architectures on FPGAs -- an Overview
par: Szczerek, Wiktor J., et autres
Publié: (2025)
par: Szczerek, Wiktor J., et autres
Publié: (2025)
A Case for Hypergraphs to Model and Map SNNs on Neuromorphic Hardware
par: Ronzani, Marco, et autres
Publié: (2026)
par: Ronzani, Marco, et autres
Publié: (2026)
You Only Spike Once: Improving Energy-Efficient Neuromorphic Inference to ANN-Level Accuracy
par: P, Srivatsa, et autres
Publié: (2020)
par: P, Srivatsa, et autres
Publié: (2020)
An Efficient Multicast Addressing Encoding Scheme for Multi-Core Neuromorphic Processors
par: Su, Zhe, et autres
Publié: (2024)
par: Su, Zhe, et autres
Publié: (2024)
Memory Wall is not gone: A Critical Outlook on Memory Architecture in Digital Neuromorphic Computing
par: Yousefzadeh, Amirreza, et autres
Publié: (2026)
par: Yousefzadeh, Amirreza, et autres
Publié: (2026)
Energy-Aware FPGA Implementation of Spiking Neural Network with LIF Neurons
par: Ali, Asmer Hamid, et autres
Publié: (2024)
par: Ali, Asmer Hamid, et autres
Publié: (2024)
Optimal Gradient Checkpointing for Sparse and Recurrent Architectures using Off-Chip Memory
par: Bencheikh, Wadjih, et autres
Publié: (2024)
par: Bencheikh, Wadjih, et autres
Publié: (2024)
SpiDR: A Reconfigurable Digital Compute-in-Memory Spiking Neural Network Accelerator for Event-based Perception
par: Sharma, Deepika, et autres
Publié: (2024)
par: Sharma, Deepika, et autres
Publié: (2024)
Genetic Quantization-Aware Approximation for Non-Linear Operations in Transformers
par: Dong, Pingcheng, et autres
Publié: (2024)
par: Dong, Pingcheng, et autres
Publié: (2024)
Embedding Hardware Approximations in Discrete Genetic-based Training for Printed MLPs
par: Afentaki, Florentia, et autres
Publié: (2024)
par: Afentaki, Florentia, et autres
Publié: (2024)
Resource-Efficient and Robust Inference of Deep and Bayesian Neural Networks on Embedded and Analog Computing Platforms
par: Klein, Bernhard
Publié: (2025)
par: Klein, Bernhard
Publié: (2025)
Demonstrating Analog Inference on the BrainScaleS-2 Mobile System
par: Stradmann, Yannik, et autres
Publié: (2021)
par: Stradmann, Yannik, et autres
Publié: (2021)
When Spike Sparsity Does Not Translate to Deployed Cost: VS-WNO on Jetson Orin Nano
par: Yoo, Jason, et autres
Publié: (2026)
par: Yoo, Jason, et autres
Publié: (2026)
UniSpike: Accelerating Spiking Neural Networks on Neuromorphic Systems via Eliminating Address Redundancy
par: Xing, Qinghui, et autres
Publié: (2026)
par: Xing, Qinghui, et autres
Publié: (2026)
Flexi-NeurA: A Configurable Neuromorphic Accelerator with Adaptive Bit-Precision Exploration for Edge SNNs
par: Farahani, Mohammad, et autres
Publié: (2026)
par: Farahani, Mohammad, et autres
Publié: (2026)
A 0.5-V Linear Neuromorphic Voltage-to-Spike Encoder Using a Bulk-Driven Transconductor
par: Akbari, Meysam, et autres
Publié: (2026)
par: Akbari, Meysam, et autres
Publié: (2026)
SNAP-V: A RISC-V SoC with Configurable Neuromorphic Acceleration for Small-Scale Spiking Neural Networks
par: Gunawardana, Kanishka, et autres
Publié: (2026)
par: Gunawardana, Kanishka, et autres
Publié: (2026)
Variability-Aware Approximate Circuit Synthesis via Genetic Optimization
par: Balaskas, Konstantinos, et autres
Publié: (2023)
par: Balaskas, Konstantinos, et autres
Publié: (2023)
Automated Placement of Analog Integrated Circuits using Priority-based Constructive Heuristic
par: Grus, Josef, et autres
Publié: (2024)
par: Grus, Josef, et autres
Publié: (2024)
When In-memory Computing Meets Spiking Neural Networks -- A Perspective on Device-Circuit-System-and-Algorithm Co-design
par: Moitra, Abhishek, et autres
Publié: (2024)
par: Moitra, Abhishek, et autres
Publié: (2024)
SparrowSNN: A Hardware/software Co-design for Energy Efficient ECG Classification
par: Yan, Zhanglu, et autres
Publié: (2024)
par: Yan, Zhanglu, et autres
Publié: (2024)
SPICEMixer - Netlist-Level Circuit Evolution
par: Uhlich, Stefan, et autres
Publié: (2025)
par: Uhlich, Stefan, et autres
Publié: (2025)
ReLANCE: A Resource-Efficient Low-Latency Cortical Neural Acceleration Engine
par: Kumar, Sonu, et autres
Publié: (2025)
par: Kumar, Sonu, et autres
Publié: (2025)
ASPO: Constraint-Aware Bayesian Optimization for FPGA-based Soft Processors
par: Wu, Haoran, et autres
Publié: (2025)
par: Wu, Haoran, et autres
Publié: (2025)
General-purpose Dataflow Model with Neuromorphic Primitives
par: Zhang, Weihao, et autres
Publié: (2024)
par: Zhang, Weihao, et autres
Publié: (2024)
PENDRAM: Enabling High-Performance and Energy-Efficient Processing of Deep Neural Networks through a Generalized DRAM Data Mapping Policy
par: Putra, Rachmad Vidya Wicaksana, et autres
Publié: (2024)
par: Putra, Rachmad Vidya Wicaksana, et autres
Publié: (2024)
Mean-Field Assisted Deep Boltzmann Learning with Probabilistic Computers
par: Chowdhury, Shuvro, et autres
Publié: (2024)
par: Chowdhury, Shuvro, et autres
Publié: (2024)
To Spike or Not To Spike: A Digital Hardware Perspective on Deep Learning Acceleration
par: Ottati, Fabrizio, et autres
Publié: (2023)
par: Ottati, Fabrizio, et autres
Publié: (2023)
When Routers, Switches and Interconnects Compute: A processing-in-interconnect Paradigm for Scalable Neuromorphic AI
par: Srivatsav, Madhuvanthi, et autres
Publié: (2025)
par: Srivatsav, Madhuvanthi, et autres
Publié: (2025)
Darwin3: A large-scale neuromorphic chip with a Novel ISA and On-Chip Learning
par: Ma, De, et autres
Publié: (2023)
par: Ma, De, et autres
Publié: (2023)
FlexNN: A Dataflow-aware Flexible Deep Learning Accelerator for Energy-Efficient Edge Devices
par: Raha, Arnab, et autres
Publié: (2024)
par: Raha, Arnab, et autres
Publié: (2024)
Documents similaires
-
Application of Machine Learning for Correcting Defect-induced Neuromorphic Circuit Inference Errors
par: Sawal, Vedant, et autres
Publié: (2025) -
A Realistic Simulation Framework for Analog/Digital Neuromorphic Architectures
par: Quintana, Fernando M., et autres
Publié: (2024) -
Advancing Neuromorphic Computing: Mixed-Signal Design Techniques Leveraging Brain Code Units and Fundamental Code Units
par: Isik, Murat, et autres
Publié: (2024) -
Benchmarking the Energy Cost of Assurance in Neuromorphic Edge Robotics
par: Kaczmarek, Sylvester
Publié: (2026) -
NeuroNAS: Enhancing Efficiency of Neuromorphic In-Memory Computing for Intelligent Mobile Agents through Hardware-Aware Spiking Neural Architecture Search
par: Putra, Rachmad Vidya Wicaksana, et autres
Publié: (2024)