Image de couverture de livre

ClipFormer: Key-Value Clipping of Transformers on Memristive Crossbars for Write Noise Mitigation

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Bhattacharjee, Abhiroop, Moitra, Abhishek, Panda, Priyadarshini
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning Emerging Technologies
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Low-power Spike-based Wearable Analytics on RRAM Crossbars
par: Bhattacharjee, Abhiroop, et autres
Publié: (2025)

AutoGMap: Learning to Map Large-scale Sparse Graphs on Memristive Crossbars
par: Lyu, Bo, et autres
Publié: (2021)

Efficient Reprogramming of Memristive Crossbars for DNNs: Weight Sorting and Bit Stucking
par: Farias, Matheus, et autres
Publié: (2024)

Multi-Objective Optimization of ReRAM Crossbars for Robust DNN Inferencing under Stochastic Noise
par: Yang, Xiaoxuan, et autres
Publié: (2021)

MDM: Manhattan Distance Mapping of DNN Weights for Parasitic-Resistance-Resilient Memristive Crossbars
par: Farias, Matheus, et autres
Publié: (2025)

Pruning for Improved ADC Efficiency in Crossbar-based Analog In-memory Accelerators
par: Ibrayev, Timur, et autres
Publié: (2024)

Optimizing Binary and Ternary Neural Network Inference on RRAM Crossbars using CIM-Explorer
par: Pelke, Rebecca, et autres
Publié: (2025)

Comparative Evaluation of Memory Technologies for Synaptic Crossbar Arrays- Part 2: Design Knobs and DNN Accuracy Trends
par: Victor, Jeffry, et autres
Publié: (2024)

A Fast and Energy-Efficient Latch-Based Memristive Analog Content-Addressable Memory
par: Manea, Paul-Philipp, et autres
Publié: (2026)

XbarSim: A Decomposition-Based Memristive Crossbar Simulator
par: Kolinko, Anzhelika, et autres
Publié: (2024)

XBTorch: A Unified Framework for Modeling and Co-Design of Crossbar-Based Deep Learning Accelerators
par: Yousuf, Osama, et autres
Publié: (2026)

A Cryogenic Memristive Neural Decoder for Fault-tolerant Quantum Error Correction
par: Yon, Victor, et autres
Publié: (2023)

M2RU: Memristive Minion Recurrent Unit for On-Chip Continual Learning at the Edge
par: Zyarah, Abdullah M., et autres
Publié: (2025)

An Automated Machine Learning Approach to Inkjet Printed Component Analysis: A Step Toward Smart Additive Manufacturing
par: Sahu, Abhishek, et autres
Publié: (2024)

Few-Shot Testing: Estimating Uncertainty of Memristive Deep Neural Networks Using One Bayesian Test Vector
par: Ahmed, Soyed Tuhin, 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)

Sorted Weight Sectioning for Energy-Efficient Unstructured Sparse DNNs on Compute-in-Memory Crossbars
par: Farias, Matheus, et autres
Publié: (2024)

PIVOT- Input-aware Path Selection for Energy-efficient ViT Inference
par: Moitra, Abhishek, et autres
Publié: (2024)

Energy-Constrained Information Storage on Memristive Devices in the Presence of Resistive Drift
par: El-Geresy, Waleed, et autres
Publié: (2024)

Adaptive Semantic Token Communication for Transformer-based Edge Inference
par: Devoto, Alessio, et autres
Publié: (2025)

Empirical Quantum Advantage Analysis of Quantum Kernel in Gene Expression Data
par: Ghosh, Arpita, et autres
Publié: (2024)

Improving Performance Prediction of Electrolyte Formulations with Transformer-based Molecular Representation Model
par: Priyadarsini, Indra, et autres
Publié: (2024)

Sense Less, Infer More: Agentic Multimodal Transformers for Edge Medical Intelligence
par: Zhou, Chengwei, et autres
Publié: (2026)

Machine Learning for Quantum Noise Reduction
par: Kendre, Karan
Publié: (2025)

Efficient Reinforcement Learning On Passive RRAM Crossbar Array
par: Tyagi, Arjun, et autres
Publié: (2024)

A Fully Automated Platform for Evaluating ReRAM Crossbars
par: Pelke, Rebecca, et autres
Publié: (2024)

Energy Efficient Knapsack Optimization Using Probabilistic Memristor Crossbars
par: Li, Jinzhan, et autres
Publié: (2024)

Integrated Security Mechanisms for Weight Protection in Memristive Crossbar Arrays
par: Rahman, Muhammad Faheemur, et autres
Publié: (2025)

Exploring the Decentraland Economy: Multifaceted Parcel Attributes, Key Insights, and Benchmarking
par: Jha, Dipika, et autres
Publié: (2024)

Quantum-Assisted Machine Learning Models for Enhanced Weather Prediction
par: Sakhuja, Saiyam, et autres
Publié: (2025)

TReX- Reusing Vision Transformer's Attention for Efficient Xbar-based Computing
par: Moitra, Abhishek, et autres
Publié: (2024)

OPIMA: Optical Processing-In-Memory for Convolutional Neural Network Acceleration
par: Sunny, Febin, et autres
Publié: (2024)

FaA-CAF: Modular Single-RF-Chain Near-Field mmWave Sensing via Clip-On Antenna Fabric
par: Ho, Pin-Han, et autres
Publié: (2026)

CNN-Based Automated Parameter Extraction Framework for Modeling Memristive Devices
par: Hamid, Akif, et autres
Publié: (2025)

Sneak Path Current Modeling in Memristor Crossbar Arrays for Analog In-Memory Computing
par: Riam, Shah Zayed, et autres
Publié: (2025)

Walking Noise: On Layer-Specific Robustness of Neural Architectures against Noisy Computations and Associated Characteristic Learning Dynamics
par: Borras, Hendrik, et autres
Publié: (2022)

Mapping Spiking Neural Networks to Heterogeneous Crossbar Architectures using Integer Linear Programming
par: Pohl, Devin, et autres
Publié: (2025)

Bayesian Optimization of Crossbar-Based Compute-In-Memory System Design for Efficient DNN Inference
par: Saha, Arnob, et autres
Publié: (2026)

Gödel Number based Clustering Algorithm with Decimal First Degree Cellular Automata
par: Vikrant, Vicky, et autres
Publié: (2024)

Tunable Synaptic Working Memory with Volatile Memristive Devices
par: Ricci, Saverio, et autres
Publié: (2023)