A Blueprint for Precise and Fault-Tolerant Analog Neural Networks
Fuente:
arXiv
Saved in:
| Main Authors: | Demirkiran, Cansu, Nair, Lakshmi, Bunandar, Darius, Joshi, Ajay |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Mirage: An RNS-Based Photonic Accelerator for DNN Training
by: Demirkiran, Cansu, et al.
Published: (2023)
by: Demirkiran, Cansu, et al.
Published: (2023)
Towards Efficient Hyperdimensional Computing Using Photonics
by: Fayza, Farbin, et al.
Published: (2023)
by: Fayza, Farbin, et al.
Published: (2023)
Rapid yet accurate Tile-circuit and device modeling for Analog In-Memory Computing
by: Luquin, J., et al.
Published: (2025)
by: Luquin, J., et al.
Published: (2025)
HEANA: A Hybrid Time-Amplitude Analog Optical Accelerator with Flexible Dataflows for Energy-Efficient CNN Inference
by: Vatsavai, Sairam Sri, et al.
Published: (2024)
by: Vatsavai, Sairam Sri, et al.
Published: (2024)
Fault-Free Analog Computing with Imperfect Hardware
by: Xu, Zhicheng, et al.
Published: (2025)
by: Xu, Zhicheng, et al.
Published: (2025)
Seizure Detection and Prediction by Parallel Memristive Convolutional Neural Networks
by: Li, Chenqi, et al.
Published: (2022)
by: Li, Chenqi, et al.
Published: (2022)
Fault Tolerant Design of IGZO-based Binary Search ADCs
by: Duarte, Paula Carolina Lozano, et al.
Published: (2026)
by: Duarte, Paula Carolina Lozano, et al.
Published: (2026)
DarwinWafer: A Wafer-Scale Neuromorphic Chip
by: Zhu, Xiaolei, et al.
Published: (2025)
by: Zhu, Xiaolei, et al.
Published: (2025)
A System Level Performance Evaluation for Superconducting Digital Systems
by: Kundu, Joyjit, et al.
Published: (2024)
by: Kundu, Joyjit, et al.
Published: (2024)
Lifetime-Aware Design for Item-Level Intelligence at the Extreme Edge
by: Prakash, Shvetank, et al.
Published: (2025)
by: Prakash, Shvetank, et al.
Published: (2025)
Multibit neural inference in a N-ary crossbar architecture
by: Moureaux, Anatole, et al.
Published: (2026)
by: Moureaux, Anatole, et al.
Published: (2026)
Dataflow-Aware PIM-Enabled Manycore Architecture for Deep Learning Workloads
by: Sharma, Harsh, et al.
Published: (2024)
by: Sharma, Harsh, et al.
Published: (2024)
StoX-Net: Stochastic Processing of Partial Sums for Efficient In-Memory Computing DNN Accelerators
by: Rogers, Ethan G, et al.
Published: (2024)
by: Rogers, Ethan G, et al.
Published: (2024)
KVNAND: Efficient On-Device Large Language Model Inference Using DRAM-Free In-Flash Computing
by: Deng, Lishuo, et al.
Published: (2025)
by: Deng, Lishuo, et al.
Published: (2025)
Governance at the Edge of Architecture: Regulating NeuroAI and Neuromorphic Systems
by: Kashif, Afifah, et al.
Published: (2026)
by: Kashif, Afifah, et al.
Published: (2026)
Hardware-software co-exploration with racetrack memory based in-memory computing for CNN inference in embedded systems
by: Choong, Benjamin Chen Ming, et al.
Published: (2025)
by: Choong, Benjamin Chen Ming, et al.
Published: (2025)
Efficient and accurate neural field reconstruction using resistive memory
by: Yu, Yifei, et al.
Published: (2024)
by: Yu, Yifei, et al.
Published: (2024)
Low-power Spike-based Wearable Analytics on RRAM Crossbars
by: Bhattacharjee, Abhiroop, et al.
Published: (2025)
by: Bhattacharjee, Abhiroop, et al.
Published: (2025)
Designing Silicon Brains using LLM: Leveraging ChatGPT for Automated Description of a Spiking Neuron Array
by: Tomlinson, Michael, et al.
Published: (2024)
by: Tomlinson, Michael, et al.
Published: (2024)
AnalogToBi: Device-Level Analog Circuit Topology Generation via Bipartite Graph and Grammar Guided Decoding
by: Kim, Seungmin, et al.
Published: (2026)
by: Kim, Seungmin, et al.
Published: (2026)
Function Approximation Using Analog Building Blocks in Flexible Electronics
by: Duarte, Paula Carolina Lozano, et al.
Published: (2025)
by: Duarte, Paula Carolina Lozano, et al.
Published: (2025)
Analog-to-Stochastic Converter Using Magnetic Tunnel Junction Devices for Vision Chips
by: Onizawa, Naoya, et al.
Published: (2026)
by: Onizawa, Naoya, et al.
Published: (2026)
SAIM: Scalable Analog Ising Machine for Solving Quadratic Binary Optimization Problems
by: Razmkhah, Sasan, et al.
Published: (2024)
by: Razmkhah, Sasan, et al.
Published: (2024)
DISCA: A Digital In-memory Stochastic Computing Architecture Using A Compressed Bent-Pyramid Format
by: Agwa, Shady, et al.
Published: (2025)
by: Agwa, Shady, et al.
Published: (2025)
Analog In-Memory Computing Attention Mechanism for Fast and Energy-Efficient Large Language Models
by: Leroux, Nathan, et al.
Published: (2024)
by: Leroux, Nathan, et al.
Published: (2024)
Exploring Liquid Neural Networks on Loihi-2
by: Pawlak, Wiktoria Agata, et al.
Published: (2024)
by: Pawlak, Wiktoria Agata, et al.
Published: (2024)
DRAGON (Differentiable Graph Execution) : A suite of Hardware Simulation and Optimization tools for Modern AI/Non-AI Workloads
by: Sethi, Khushal
Published: (2022)
by: Sethi, Khushal
Published: (2022)
Online Soft Error Tolerance in ReRAM Crossbars for Deep Learning Accelerators
by: Khezeli, Benyamin, et al.
Published: (2024)
by: Khezeli, Benyamin, et al.
Published: (2024)
ARMAN: A Reconfigurable Monolithic 3D Accelerator Architecture for Convolutional Neural Networks
by: Sedaghatgoo, Ali, et al.
Published: (2024)
by: Sedaghatgoo, Ali, et al.
Published: (2024)
Architecture-Level Modeling of Photonic Deep Neural Network Accelerators
by: Andrulis, Tanner, et al.
Published: (2024)
by: Andrulis, Tanner, et al.
Published: (2024)
Bayes2IMC: In-Memory Computing for Bayesian Binary Neural Networks
by: Katti, Prabodh, et al.
Published: (2024)
by: Katti, Prabodh, et al.
Published: (2024)
Toward Large-Scale Photonics-Empowered AI Systems: From Physical Design Automation to System-Algorithm Co-Exploration
by: Yin, Ziang, et al.
Published: (2025)
by: Yin, Ziang, et al.
Published: (2025)
Democratizing Electronic-Photonic AI Systems: An Open-Source AI-Infused Cross-Layer Co-Design and Design Automation Toolflow
by: Zhou, Hongjian, et al.
Published: (2025)
by: Zhou, Hongjian, et al.
Published: (2025)
OISMA: On-the-fly In-memory Stochastic Multiplication Architecture for Matrix-Multiplication Workloads
by: Agwa, Shady, et al.
Published: (2025)
by: Agwa, Shady, et al.
Published: (2025)
All-in-One Analog AI Hardware: On-Chip Training and Inference with Conductive-Metal-Oxide/HfOx ReRAM Devices
by: Falcone, Donato Francesco, et al.
Published: (2025)
by: Falcone, Donato Francesco, et al.
Published: (2025)
PICO-RAM: A PVT-Insensitive Analog Compute-In-Memory SRAM Macro with In-Situ Multi-Bit Charge Computing and 6T Thin-Cell-Compatible Layout
by: Chen, Zhiyu, et al.
Published: (2024)
by: Chen, Zhiyu, et al.
Published: (2024)
Scalable Digital Compute-in-Memory Ising Machines for Robustness Verification of Binary Neural Networks
by: Vadlamani, Madhav, et al.
Published: (2026)
by: Vadlamani, Madhav, et al.
Published: (2026)
A Precision-Optimized Fixed-Point Near-Memory Digital Processing Unit for Analog In-Memory Computing
by: Ferro, Elena, et al.
Published: (2024)
by: Ferro, Elena, et al.
Published: (2024)
NeRTCAM: CAM-Based CMOS Implementation of Reference Frames for Neuromorphic Processors
by: Nair, Harideep, et al.
Published: (2024)
by: Nair, Harideep, et al.
Published: (2024)
Sensitivity-Aware Mixed-Precision Quantization for ReRAM-based Computing-in-Memory
by: Chen, Guan-Cheng, et al.
Published: (2025)
by: Chen, Guan-Cheng, et al.
Published: (2025)
Similar Items
-
Mirage: An RNS-Based Photonic Accelerator for DNN Training
by: Demirkiran, Cansu, et al.
Published: (2023) -
Towards Efficient Hyperdimensional Computing Using Photonics
by: Fayza, Farbin, et al.
Published: (2023) -
Rapid yet accurate Tile-circuit and device modeling for Analog In-Memory Computing
by: Luquin, J., et al.
Published: (2025) -
HEANA: A Hybrid Time-Amplitude Analog Optical Accelerator with Flexible Dataflows for Energy-Efficient CNN Inference
by: Vatsavai, Sairam Sri, et al.
Published: (2024) -
Fault-Free Analog Computing with Imperfect Hardware
by: Xu, Zhicheng, et al.
Published: (2025)