Copertina

Comparative Evaluation of Memory Technologies for Synaptic Crossbar Arrays -- Part I: Robustness-driven Device-Circuit Co-Design and System Implications

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wang, Chunguang, Victor, Jeffry, Gupta, Sumeet K.
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Emerging Technologies
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Comparative Evaluation of Memory Technologies for Synaptic Crossbar Arrays- Part 2: Design Knobs and DNN Accuracy Trends
di: Victor, Jeffry, et al.
Pubblicazione: (2024)

WAGONN: Weight Bit Agglomeration in Crossbar Arrays for Reduced Impact of Interconnect Resistance on DNN Inference Accuracy
di: Victor, Jeffry, et al.
Pubblicazione: (2024)

Negative-Voltage-Enabled Energy Efficient Nonvolatile Memories And In-Memory Computing Based On 2D Piezoelectric Transistors
di: Victor, Jeffry, et al.
Pubblicazione: (2026)

STRIDe: Cross-Coupled STT-MRAM Enabling Robust In-Memory-Computing for Deep Neural Network Accelerators
di: Ahmed, Imtiaz, et al.
Pubblicazione: (2026)

Sneak Path Current Modeling in Memristor Crossbar Arrays for Analog In-Memory Computing
di: Riam, Shah Zayed, et al.
Pubblicazione: (2025)

Bayesian Optimization of Crossbar-Based Compute-In-Memory System Design for Efficient DNN Inference
di: Saha, Arnob, et al.
Pubblicazione: (2026)

Efficient Reinforcement Learning On Passive RRAM Crossbar Array
di: Tyagi, Arjun, et al.
Pubblicazione: (2024)

Tunable Synaptic Working Memory with Volatile Memristive Devices
di: Ricci, Saverio, et al.
Pubblicazione: (2023)

A Fully Automated Platform for Evaluating ReRAM Crossbars
di: Pelke, Rebecca, et al.
Pubblicazione: (2024)

Device-Circuit Co-Design of Variation-Resilient Read and Write Drivers for Antiferromagnetic Tunnel Junction (AFMTJ) Memories
di: Choudhary, Yousuf, et al.
Pubblicazione: (2026)

Device-Algorithm Co-Design of Ferroelectric Compute-in-Memory In-Situ Annealer for Combinatorial Optimization Problems
di: Qian, Yu, et al.
Pubblicazione: (2025)

Reverse Designing Ferroelectric Capacitors with Machine Learning-based Compact Modeling
di: Ferrer, Diego, et al.
Pubblicazione: (2025)

Energy Efficient Knapsack Optimization Using Probabilistic Memristor Crossbars
di: Li, Jinzhan, et al.
Pubblicazione: (2024)

XBTorch: A Unified Framework for Modeling and Co-Design of Crossbar-Based Deep Learning Accelerators
di: Yousuf, Osama, et al.
Pubblicazione: (2026)

Mapping Spiking Neural Networks to Heterogeneous Crossbar Architectures using Integer Linear Programming
di: Pohl, Devin, et al.
Pubblicazione: (2025)

ReCross: Efficient Embedding Reduction Scheme for In-Memory Computing using ReRAM-Based Crossbar
di: Lai, Yu-Hong, et al.
Pubblicazione: (2025)

Multi-Objective Optimization of ReRAM Crossbars for Robust DNN Inferencing under Stochastic Noise
di: Yang, Xiaoxuan, et al.
Pubblicazione: (2021)

Toward Intelligent Electronic-Photonic Design Automation for Large-Scale Photonic Integrated Circuits: from Device Inverse Design to Physical Layout Generation
di: Zhou, Hongjian, et al.
Pubblicazione: (2025)

Nonvolatile Electrochemical Random-Access Memory Under Short Circuit
di: Kim, Diana, et al.
Pubblicazione: (2022)

Defect-Aware Physics-Based Compact Model for Ferroelectric nvCap: From TCAD Calibration to Circuit Co-Design
di: Fehlings, Luca, et al.
Pubblicazione: (2025)

XbarSim: A Decomposition-Based Memristive Crossbar Simulator
di: Kolinko, Anzhelika, et al.
Pubblicazione: (2024)

Hybrid CMOS/Memristor Circuit Design Methodology
di: Maheshwari, Sachin, et al.
Pubblicazione: (2020)

Optimized Bistable Vortex Memory Arrays for Superconducting In-Memory Matrix-Vector Multiplication
di: Karamuftuoglu, Mustafa Altay, et al.
Pubblicazione: (2025)

Architectural and System Implications of CXL-enabled Tiered Memory
di: Yang, Yujie, et al.
Pubblicazione: (2025)

Pruning for Improved ADC Efficiency in Crossbar-based Analog In-memory Accelerators
di: Ibrayev, Timur, et al.
Pubblicazione: (2024)

QuCoWE Quantum Contrastive Word Embeddings with Variational Circuits for NearTerm Quantum Devices
di: Karanjai, Rabimba, et al.
Pubblicazione: (2025)

Is Circuit Depth Accurate for Comparing Quantum Circuit Runtimes?
di: Tremba, Matthew, et al.
Pubblicazione: (2025)

Scaling Effects of Transistor Leakage Current and IR Drop on 1T1R Memory Arrays
di: Chen, Junren, et al.
Pubblicazione: (2024)

Online Soft Error Tolerance in ReRAM Crossbars for Deep Learning Accelerators
di: Khezeli, Benyamin, et al.
Pubblicazione: (2024)

AutoGMap: Learning to Map Large-scale Sparse Graphs on Memristive Crossbars
di: Lyu, Bo, et al.
Pubblicazione: (2021)

Delay Balancing with Clock-Follow-Data: Optimizing Area Delay Trade-offs for Robust Rapid Single Flux Quantum Circuits
di: Aviles, Robert S., et al.
Pubblicazione: (2024)

Hardware-Algorithm Co-Design for Hyperdimensional Computing Based on Memristive System-on-Chip
di: Huang, Yi, et al.
Pubblicazione: (2025)

Memory Sharing with CXL: Hardware and Software Design Approaches
di: Jain, Sunita, et al.
Pubblicazione: (2024)

Evaluating Fitness Averaging Strategies in Cooperative NeuroCoEvolution for Automated Soft Actuator Design
di: Alcaraz-Herrera, Hugo, et al.
Pubblicazione: (2025)

Evaluating System-Level Fidelity with Peaked Random Circuits
di: Brieger, Martin, et al.
Pubblicazione: (2026)

ClipFormer: Key-Value Clipping of Transformers on Memristive Crossbars for Write Noise Mitigation
di: Bhattacharjee, Abhiroop, et al.
Pubblicazione: (2024)

Optimizing Binary and Ternary Neural Network Inference on RRAM Crossbars using CIM-Explorer
di: Pelke, Rebecca, et al.
Pubblicazione: (2025)

Thermal Implications of Non-Uniform Power in BSPDN-Enabled 2.5D/3D Chiplet-based Systems-in-Package using Nanosheet Technology
di: Chen, Yukai, et al.
Pubblicazione: (2025)

Circuit Partitioning and Full Circuit Execution: A Comparative Study of GPU-Based Quantum Circuit Simulation
di: Sarode, Kartikey, et al.
Pubblicazione: (2025)

CutVQA: Co-Designing Circuit Cutting and Architecture Search for Scaling Variational Quantum Algorithms
di: Wu, Jun, et al.
Pubblicazione: (2025)