Shimeng Yu

Orcid: 0000-0002-0068-3652

According to our database1, Shimeng Yu authored at least 201 papers between 2012 and 2024.

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Bibliography

2024
Thermally Constrained Codesign of Heterogeneous 3-D Integration of Compute-in-Memory, Digital ML Accelerator, and RISC-V Cores for Mixed ML and Non-ML Workloads.
IEEE Trans. Very Large Scale Integr. Syst., September, 2024

Endurance-Aware Compiler for 3-D Stackable FeRAM as Global Buffer in TPU-Like Architecture.
IEEE Trans. Very Large Scale Integr. Syst., September, 2024

H3D-Transformer: A Heterogeneous 3D (H3D) Computing Platform for Transformer Model Acceleration on Edge Devices.
ACM Trans. Design Autom. Electr. Syst., May, 2024

NeuroSim V1.4: Extending Technology Support for Digital Compute-in-Memory Toward 1nm Node.
IEEE Trans. Circuits Syst. I Regul. Pap., April, 2024

A Heterogeneous Platform for 3D NAND-Based In-Memory Hyperdimensional Computing Engine for Genome Sequencing Applications.
IEEE Trans. Circuits Syst. I Regul. Pap., April, 2024

Semiconductor Memory Technologies: State-of-the-Art and Future Trends.
Computer, April, 2024

Neuro-Symbolic Computing: Advancements and Challenges in Hardware-Software Co-Design.
IEEE Trans. Circuits Syst. II Express Briefs, March, 2024

A FeFET-Based ADC Offset Robust Compute-In-Memory Architecture for Streaming Keyword Spotting (KWS).
IEEE Trans. Emerg. Top. Comput., 2024

Hardware Acceleration of Kolmogorov-Arnold Network (KAN) for Lightweight Edge Inference.
CoRR, 2024

Towards Reverse-Engineering the Brain: Brain-Derived Neuromorphic Computing Approach with Photonic, Electronic, and Ionic Dynamicity in 3D integrated circuits.
CoRR, 2024

Paving the Way for Pass Disturb Free Vertical NAND Storage via A Dedicated and String-Compatible Pass Gate.
CoRR, 2024

P-type SnO Semiconductor Transistor and Application.
Proceedings of the IEEE Symposium on VLSI Technology and Circuits 2024, 2024

Back-side Design Methodology for Power Delivery Network and Clock Routing.
Proceedings of the IEEE Symposium on VLSI Technology and Circuits 2024, 2024

Co-Optimization for Robust Power Delivery Design in 3D-Heterogeneous Integration of Compute In-Memory Accelerators.
Proceedings of the IEEE Symposium on VLSI Technology and Circuits 2024, 2024

Demonstration of On-Chip Switched-Capacitor DC-DC Converters using BEOL Compatible Oxide Power Transistors and Superlattice MIM Capacitors.
Proceedings of the IEEE Symposium on VLSI Technology and Circuits 2024, 2024

Amorphous Oxide Semiconductors for Monolithic 3D Integrated Circuits.
Proceedings of the IEEE Symposium on VLSI Technology and Circuits 2024, 2024

Impact of In-Pixel Processing Circuit Non-idealities on Multi-object Tracking Accuracy for Autonomous Driving.
Proceedings of the 67th IEEE International Midwest Symposium on Circuits and Systems, 2024

A Reconfigurable Bandpass Filter with Ferroelectric Devices for Intracardiac Electrograms Monitoring.
Proceedings of the 67th IEEE International Midwest Symposium on Circuits and Systems, 2024

Monolithic 3D Transposable 3T Embedded DRAM with Back-end-of-line Oxide Channel Transistor.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

Comprehensive Time Dependent Dielectric Breakdown (TDDB) Characterization of Ferroelectric Capacitors Under Bipolar Stress Conditions.
Proceedings of the IEEE International Reliability Physics Symposium, 2024

Reliability Assesement of Ferroelectric nvCAP for Small-Signal Capacitive Read-Out.
Proceedings of the IEEE International Reliability Physics Symposium, 2024

Engineering nvCap From FEOL to BEOL with Ferroelectric Small-signal Non-destructive Read.
Proceedings of the IEEE International Memory Workshop, 2024

Design Framework for Ferroelectric Gate Stack Engineering of Vertical NAND Structures for Efficient TLC and QLC Operation.
Proceedings of the IEEE International Memory Workshop, 2024

Optimization of Backside of Silicon-Compatible High Voltage Superlattice Capacitor for 12V-to-6V On-Chip Voltage Conversion.
Proceedings of the Device Research Conference, 2024

Digital CIM with Noisy SRAM Bit: A Compact Clustered Annealer for Large-Scale Combinatorial Optimization.
Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

A Cross-layer Framework for Design Space and Variation Analysis of Non-Volatile Ferroelectric Capacitor-Based Compute-in-Memory Accelerators.
Proceedings of the 29th Asia and South Pacific Design Automation Conference, 2024

Accelerator Design using 3D Stacked Capacitorless DRAM for Large Language Models.
Proceedings of the 6th IEEE International Conference on AI Circuits and Systems, 2024

2023
H3DAtten: Heterogeneous 3-D Integrated Hybrid Analog and Digital Compute-in-Memory Accelerator for Vision Transformer Self-Attention.
IEEE Trans. Very Large Scale Integr. Syst., October, 2023

Temporal Frame Filtering for Autonomous Driving Using 3D-Stacked Global Shutter CIS With IWO Buffer Memory and Near-Pixel Compute.
IEEE Trans. Circuits Syst. I Regul. Pap., May, 2023

Scalable In-Memory Clustered Annealer With Temporal Noise of Charge Trap Transistor for Large Scale Travelling Salesman Problems.
IEEE J. Emerg. Sel. Topics Circuits Syst., March, 2023

ENNA: An Efficient Neural Network Accelerator Design Based on ADC-Free Compute-In-Memory Subarrays.
IEEE Trans. Circuits Syst. I Regul. Pap., January, 2023

Hardware-aware Quantization/Mapping Strategies for Compute-in-Memory Accelerators.
ACM Trans. Design Autom. Electr. Syst., 2023

Proxima: Near-storage Acceleration for Graph-based Approximate Nearest Neighbor Search in 3D NAND.
CoRR, 2023

Cold-FeFET as Embedded Non-Volatile Memory with Unlimited Cycling Endurance.
Proceedings of the 2023 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits), 2023

A Reconfigurable Monolithic 3D Switched-Capacitor DC-DC Converter with Back-End-of-Line Oxide Channel Transistor.
Proceedings of the 66th IEEE International Midwest Symposium on Circuits and Systems, 2023

An In-Storage Processing Architecture with 3D NAND Heterogeneous Integration for Spectra Open Modification Search.
Proceedings of the International Symposium on Memory Systems, 2023

Enabling Long-Term Robustness in RRAM-based Compute-In-Memory Edge Devices.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

Low-Frequency Noise Characteristics of Ferroelectric Field-Effect Transistors.
Proceedings of the IEEE International Reliability Physics Symposium, 2023

Design of Ferroelectric-Metal Field-Effect Transistor for Multi-Level-Cell 3D NAND Flash.
Proceedings of the IEEE International Memory Workshop, 2023

CLUE: Cross-Layer Uncertainty Estimator for Reliable Neural Perception using Processing-in-Memory Accelerators.
Proceedings of the International Joint Conference on Neural Networks, 2023

RAWAtten: Reconfigurable Accelerator for Window Attention in Hierarchical Vision Transformers.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

PRIVE: Efficient RRAM Programming with Chip Verification for RRAM-based In-Memory Computing Acceleration.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

Enabling Ultra-Low Power Ultrasound Imaging with Compute-in-Memory Sparse Reconstruction Accelerator.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023

Optimization Strategies for Digital Compute-in-Memory from Comparative Analysis with Systolic Array.
Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023

2022
Achieving High In Situ Training Accuracy and Energy Efficiency with Analog Non-Volatile Synaptic Devices.
ACM Trans. Design Autom. Electr. Syst., 2022

Design and Optimization of Non-Volatile Capacitive Crossbar Array for In-Memory Computing.
IEEE Trans. Circuits Syst. II Express Briefs, 2022

Robust Processing-In-Memory With Multibit ReRAM Using Hessian-Driven Mixed-Precision Computation.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

A Ferroelectric-Based Volatile/Non-Volatile Dual-Mode Buffer Memory for Deep Neural Network Accelerators.
IEEE Trans. Computers, 2022

Temperature-Resilient RRAM-Based In-Memory Computing for DNN Inference.
IEEE Micro, 2022

Two-Way Transpose Multibit 6T SRAM Computing-in-Memory Macro for Inference-Training AI Edge Chips.
IEEE J. Solid State Circuits, 2022

A 40-nm MLC-RRAM Compute-in-Memory Macro With Sparsity Control, On-Chip Write-Verify, and Temperature-Independent ADC References.
IEEE J. Solid State Circuits, 2022

Accelerating On-Chip Training with Ferroelectric-Based Hybrid Precision Synapse.
ACM J. Emerg. Technol. Comput. Syst., 2022

Guest Editorial Memristive Circuits and Systems for Edge-Computing Applications.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2022

GP3D: 3D NAND Based In-Memory Graph Processing Accelerator.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2022

A Compute-in-Memory Hardware Accelerator Design With Back-End-of-Line (BEOL) Transistor Based Reconfigurable Interconnect.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2022

MAC-ECC: In-Situ Error Correction and Its Design Methodology for Reliable NVM-Based Compute-in-Memory Inference Engine.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2022

Analog-to-Digital Converter Design Exploration for Compute-in-Memory Accelerators.
IEEE Des. Test, 2022

Nonvolatile Capacitive Crossbar Array for In-Memory Computing.
Adv. Intell. Syst., 2022

Determination of Domain Wall Velocity and Nucleation Time by Switching Dynamics Studies of Ferroelectric Hafnium Zirconium Oxide.
Proceedings of the IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits 2022), 2022

BEOL Compatible Ferroelectric Routers for Run-time Reconfigurable Compute-in-Memory Accelerators.
Proceedings of the IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits 2022), 2022

A 40nm Analog-Input ADC-Free Compute-in-Memory RRAM Macro with Pulse-Width Modulation between Sub-arrays.
Proceedings of the IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits 2022), 2022

Machine Learning Assisted Statistical Variation Analysis of Ferroelectric Transistors: From Experimental Metrology to Predictive Modeling.
Proceedings of the IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits 2022), 2022

A Thousand State Superlattice(SL) FEFET Analog Weight Cell.
Proceedings of the IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits 2022), 2022

A monolithic 3D design technology co-optimization with back-end-of-line oxide channel transistor.
Proceedings of the 17th ACM International Symposium on Nanoscale Architectures, 2022

A Method for Reverse Engineering Neural Network Parameters from Compute-in-Memory Accelerators.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2022

Sparse and Robust RRAM-based Efficient In-memory Computing for DNN Inference.
Proceedings of the IEEE International Reliability Physics Symposium, 2022

Performance Benchmarking of Spin-Orbit Torque Magnetic RAM (SOT-MRAM) for Deep Neural Network (DNN) Accelerators.
Proceedings of the IEEE International Memory Workshop, 2022

In-Memory 3D NAND Flash Hyperdimensional Computing Engine for Energy-Efficient SARS-CoV-2 Genome Sequencing.
Proceedings of the IEEE International Memory Workshop, 2022

A 40nm RRAM Compute-in-Memory Macro with Parallelism-Preserving ECC for Iso-Accuracy Voltage Scaling.
Proceedings of the 48th IEEE European Solid State Circuits Conference, 2022

Improved Endurance with Electron-Only Switching in Ferroelectric Devices.
Proceedings of the Device Research Conference, 2022

Design-Technology Co-optimization for Cryogenic Tensor Processing Unit.
Proceedings of the IEEE Asia Pacific Conference on Circuit and Systems, 2022

Temporal Frame Filtering with Near-Pixel Compute for Autonomous Driving.
Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022

2021
Heterogeneous Mixed-Signal Monolithic 3-D In-Memory Computing Using Resistive RAM.
IEEE Trans. Very Large Scale Integr. Syst., 2021

Secure XOR-CIM Engine: Compute-In-Memory SRAM Architecture With Embedded XOR Encryption.
IEEE Trans. Very Large Scale Integr. Syst., 2021

A Runtime Reconfigurable Design of Compute-in-Memory-Based Hardware Accelerator for Deep Learning Inference.
ACM Trans. Design Autom. Electr. Syst., 2021

Structured Pruning of RRAM Crossbars for Efficient In-Memory Computing Acceleration of Deep Neural Networks.
IEEE Trans. Circuits Syst. II Express Briefs, 2021

RRAM for Compute-in-Memory: From Inference to Training.
IEEE Trans. Circuits Syst. I Regul. Pap., 2021

DNN+NeuroSim V2.0: An End-to-End Benchmarking Framework for Compute-in-Memory Accelerators for On-Chip Training.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021

AILC: Accelerate On-Chip Incremental Learning With Compute-in-Memory Technology.
IEEE Trans. Computers, 2021

A wearable sensor vest for social humanoid robots with GPGPU, IoT, and modular software architecture.
Robotics Auton. Syst., 2021

A Highly Reliable RRAM Physically Unclonable Function Utilizing Post-Process Randomness Source.
IEEE J. Solid State Circuits, 2021

NeuroSim Simulator for Compute-in-Memory Hardware Accelerator: Validation and Benchmark.
Frontiers Artif. Intell., 2021

Genetic Algorithm-Based Energy-Aware CNN Quantization for Processing-In-Memory Architecture.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2021

Mitigating Adversarial Attack for Compute-in-Memory Accelerator Utilizing On-chip Finetune.
Proceedings of the 10th IEEE Non-Volatile Memory Systems and Applications Symposium, 2021

Cryogenic Performance for Compute-in-Memory Based Deep Neural Network Accelerator.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

Exploiting Process Variations to Protect Machine Learning Inference Engine from Chip Cloning.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

Impact of Multilevel Retention Characteristics on RRAM based DNN Inference Engine.
Proceedings of the IEEE International Reliability Physics Symposium, 2021

Characterization and Mitigation of Relaxation Effects on Multi-level RRAM based In-Memory Computing.
Proceedings of the IEEE International Reliability Physics Symposium, 2021

Design of Non-volatile Capacitive Crossbar Array for In-Memory Computing.
Proceedings of the IEEE International Memory Workshop, 2021

A Technology Path for Scaling Embedded FeRAM to 28nm with 2T1C Structure.
Proceedings of the IEEE International Memory Workshop, 2021

Compute-in-Memory: From Device Innovation to 3D System Integration.
Proceedings of the 51st IEEE European Solid-State Device Research Conference, 2021

A 40nm RRAM Compute-in-Memory Macro Featuring On-Chip Write-Verify and Offset-Cancelling ADC References.
Proceedings of the 51st IEEE European Solid-State Device Research Conference, 2021

Experimental RF Characterization of Ferroelectric Hafnium Zirconium Oxide Material at GHz for Microwave Applications.
Proceedings of the Device Research Conference, 2021

A FeRAM based Volatile/Non-volatile Dual-mode Buffer Memory for Deep Neural Network Training.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

A Runtime Reconfigurable Design of Compute-in-Memory based Hardware Accelerator.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

Secure-RRAM: A 40nm 16kb Compute-in-Memory Macro with Reconfigurability, Sparsity Control, and Embedded Security.
Proceedings of the IEEE Custom Integrated Circuits Conference, 2021

Compute-in-RRAM with Limited On-chip Resources.
Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021

NeuroSim Validation with 40nm RRAM Compute-in-Memory Macro.
Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021

Thermal Reliability Considerations of Resistive Synaptic Devices for 3D CIM System Performance.
Proceedings of the IEEE International 3D Systems Integration Conference, 2021

2020
Benchmark of the Compute-in-Memory-Based DNN Accelerator With Area Constraint.
IEEE Trans. Very Large Scale Integr. Syst., 2020

Optimizing Weight Mapping and Data Flow for Convolutional Neural Networks on Processing-in-Memory Architectures.
IEEE Trans. Circuits Syst. I Fundam. Theory Appl., 2020

Accelerating Deep Neural Network In-Situ Training With Non-Volatile and Volatile Memory Based Hybrid Precision Synapses.
IEEE Trans. Computers, 2020

CIMAT: A Compute-In-Memory Architecture for On-chip Training Based on Transpose SRAM Arrays.
IEEE Trans. Computers, 2020

A Twin-8T SRAM Computation-in-Memory Unit-Macro for Multibit CNN-Based AI Edge Processors.
IEEE J. Solid State Circuits, 2020

The Impact of Ferroelectric FETs on Digital and Analog Circuits and Architectures.
IEEE Des. Test, 2020

SMART Paths for Latency Reduction in ReRAM Processing-In-Memory Architecture for CNN Inference.
CoRR, 2020

Compute-in-Memory for AI: From Inference to Training.
Proceedings of the 2020 International Symposium on VLSI Design, Automation and Test, 2020

8T XNOR-SRAM based Parallel Compute-in-Memory for Deep Neural Network Accelerator.
Proceedings of the 63rd IEEE International Midwest Symposium on Circuits and Systems, 2020

Architectural Design of 3D NAND Flash based Compute-in-Memory for Inference Engine.
Proceedings of the MEMSYS 2020: The International Symposium on Memory Systems, 2020

15.2 A 28nm 64Kb Inference-Training Two-Way Transpose Multibit 6T SRAM Compute-in-Memory Macro for AI Edge Chips.
Proceedings of the 2020 IEEE International Solid- State Circuits Conference, 2020

A Variation Robust Inference Engine Based on STT-MRAM with Parallel Read-Out.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

MINT: Mixed-Precision RRAM-Based IN-Memory Training Architecture.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

Impact of Read Disturb on Multilevel RRAM based Inference Engine: Experiments and Model Prediction.
Proceedings of the 2020 IEEE International Reliability Physics Symposium, 2020

XOR-CIM: Compute-In-Memory SRAM Architecture with Embedded XOR Encryption.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

Modeling Multi-states in Ferroelectric Tunnel Junction.
Proceedings of the 2020 Device Research Conference, 2020

Overcoming Challenges for Achieving High in-situ Training Accuracy with Emerging Memories.
Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

A Two-way SRAM Array based Accelerator for Deep Neural Network On-chip Training.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

Compute-in-Memory with Emerging Nonvolatile-Memories: Challenges and Prospects.
Proceedings of the 2020 IEEE Custom Integrated Circuits Conference, 2020

Benchmark Non-volatile and Volatile Memory Based Hybrid Precision Synapses for In-situ Deep Neural Network Training.
Proceedings of the 25th Asia and South Pacific Design Automation Conference, 2020

2019
Impact of Selector Devices in Analog RRAM-Based Crossbar Arrays for Inference and Training of Neuromorphic System.
IEEE Trans. Very Large Scale Integr. Syst., 2019

Three-Dimensional nand Flash for Vector-Matrix Multiplication.
IEEE Trans. Very Large Scale Integr. Syst., 2019

A Dual-Split 6T SRAM-Based Computing-in-Memory Unit-Macro With Fully Parallel Product-Sum Operation for Binarized DNN Edge Processors.
IEEE Trans. Circuits Syst. I Regul. Pap., 2019

Monolithically Integrated RRAM- and CMOS-Based In-Memory Computing Optimizations for Efficient Deep Learning.
IEEE Micro, 2019

Impact of Non-Ideal Characteristics of Resistive Synaptic Devices on Implementing Convolutional Neural Networks.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2019

MAX<sup>2</sup>: An ReRAM-Based Neural Network Accelerator That Maximizes Data Reuse and Area Utilization.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2019

Technological Benchmark of Analog Synaptic Devices for Neuroinspired Architectures.
IEEE Des. Test, 2019

High-Throughput In-Memory Computing for Binary Deep Neural Networks with Monolithically Integrated RRAM and 90nm CMOS.
CoRR, 2019

Harnessing Intrinsic Noise in Memristor Hopfield Neural Networks for Combinatorial Optimization.
CoRR, 2019

Investigating Dynamic Minor Loop of Ferroelectric Capacitor.
Proceedings of the 19th Non-Volatile Memory Technology Symposium, 2019

Inference engine benchmarking across technological platforms from CMOS to RRAM.
Proceedings of the International Symposium on Memory Systems, 2019

CIMAT: a transpose SRAM-based compute-in-memory architecture for deep neural network on-chip training.
Proceedings of the International Symposium on Memory Systems, 2019

A Twin-8T SRAM Computation-In-Memory Macro for Multiple-Bit CNN-Based Machine Learning.
Proceedings of the IEEE International Solid- State Circuits Conference, 2019

A Reconfigurable RRAM Physically Unclonable Function Utilizing Post-Process Randomness Source With <6×10<sup>-6</sup> Native Bit Error Rate.
Proceedings of the IEEE International Solid- State Circuits Conference, 2019

Design Space Exploration of Ovonic Threshold Switch (OTS) for Sub-Threshold Read Operation in Cross-Point Memory Arrays.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

Optimizing Weight Mapping and Data Flow for Convolutional Neural Networks on RRAM Based Processing-In-Memory Architecture.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

Evaluation of Single Event Effects in SRAM and RRAM Based Neuromorphic Computing System for Inference.
Proceedings of the IEEE International Reliability Physics Symposium, 2019

MLP+NeuroSimV3.0: Improving On-chip Learning Performance with Device to Algorithm Optimizations.
Proceedings of the International Conference on Neuromorphic Systems, 2019

Design Guidelines of RRAM based Neural-Processing-Unit: A Joint Device-Circuit-Algorithm Analysis.
Proceedings of the 56th Annual Design Automation Conference 2019, 2019

2018
Design and Analysis of Energy-Efficient and Reliable 3-D ReRAM Cross-Point Array System.
IEEE Trans. Very Large Scale Integr. Syst., 2018

X-Point PUF: Exploiting Sneak Paths for a Strong Physical Unclonable Function Design.
IEEE Trans. Circuits Syst. I Regul. Pap., 2018

MNSIM: Simulation Platform for Memristor-Based Neuromorphic Computing System.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018

NeuroSim: A Circuit-Level Macro Model for Benchmarking Neuro-Inspired Architectures in Online Learning.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018

Neuro-Inspired Computing With Emerging Nonvolatile Memorys.
Proc. IEEE, 2018

Large-Scale Neuromorphic Spiking Array Processors: A quest to mimic the brain.
CoRR, 2018

Special session on reliability and vulnerability of neuromorphic computing systems.
Proceedings of the 36th IEEE VLSI Test Symposium, 2018

A Parallel RRAM Synaptic Array Architecture for Energy-Efficient Recurrent Neural Networks.
Proceedings of the 2018 IEEE International Workshop on Signal Processing Systems, 2018

A Versatile ReRAM-based Accelerator for Convolutional Neural Networks.
Proceedings of the 2018 IEEE International Workshop on Signal Processing Systems, 2018

A 65nm 4Kb algorithm-dependent computing-in-memory SRAM unit-macro with 2.3ns and 55.8TOPS/W fully parallel product-sum operation for binary DNN edge processors.
Proceedings of the 2018 IEEE International Solid-State Circuits Conference, 2018

Design Considerations of Selector Device in Cross-Point RRAM Array for Neuromorphic Computing.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Reliability perspective of resistive synaptic devices on the neuromorphic system performance.
Proceedings of the IEEE International Reliability Physics Symposium, 2018

XNOR-RRAM: A scalable and parallel resistive synaptic architecture for binary neural networks.
Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

Parallelizing SRAM arrays with customized bit-cell for binary neural networks.
Proceedings of the 55th Annual Design Automation Conference, 2018

Fully parallel RRAM synaptic array for implementing binary neural network with (+1, -1) weights and (+1, 0) neurons.
Proceedings of the 23rd Asia and South Pacific Design Automation Conference, 2018

Benchmark of RRAM based Architectures for Dot-Product Computation.
Proceedings of the 2018 IEEE Asia Pacific Conference on Circuits and Systems, 2018

2017
A Study of the Effect of RRAM Reliability Soft Errors on the Performance of RRAM-Based Neuromorphic Systems.
IEEE Trans. Very Large Scale Integr. Syst., 2017

Low-VDD Operation of SRAM Synaptic Array for Implementing Ternary Neural Network.
IEEE Trans. Very Large Scale Integr. Syst., 2017

A Multilayer Approach to Designing Energy-Efficient and Reliable ReRAM Cross-Point Array System.
IEEE Trans. Very Large Scale Integr. Syst., 2017

Energy-Efficient Adaptive Computing With Multifunctional Memory.
IEEE Trans. Circuits Syst. II Express Briefs, 2017

Improving efficiency in sparse learning with the feedforward inhibitory motif.
Neurocomputing, 2017

Analysis of RRAM Reliability Soft-Errors on the Performance of RRAM-Based Neuromorphic Systems.
Proceedings of the 2017 IEEE Computer Society Annual Symposium on VLSI, 2017

Design and optimization of a strong PUF exploiting sneak paths in resistive cross-point array.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

Mitigating the Effect of Reliability Soft-errors of RRAM Devices on the Performance of RRAM-based Neuromorphic Systems.
Proceedings of the on Great Lakes Symposium on VLSI 2017, 2017

Analyzing inference robustness of RRAM synaptic array in low-precision neural network.
Proceedings of the 47th European Solid-State Device Research Conference, 2017

1T2R: A novel memory cell design to resolve single-event upset in RRAM arrays.
Proceedings of the 12th IEEE International Conference on ASIC, 2017

Extending 1kb RRAM array from weak PUF to strong PUF by employment of SHA module.
Proceedings of the 2017 Asian Hardware Oriented Security and Trust Symposium, 2017

2016
Resistive Random Access Memory (RRAM)
Synthesis Lectures on Emerging Engineering Technologies, Morgan & Claypool Publishers, ISBN: 978-3-031-02030-8, 2016

Design Tradeoffs of Vertical RRAM-Based 3-D Cross-Point Array.
IEEE Trans. Very Large Scale Integr. Syst., 2016

Design of Resistive Synaptic Array for Implementing On-Chip Sparse Learning.
IEEE Trans. Multi Scale Comput. Syst., 2016

Technological Exploration of RRAM Crossbar Array for Matrix-Vector Multiplication.
J. Comput. Sci. Technol., 2016

Optimizing Latency, Energy, and Reliability of 1T1R ReRAM Through Cross-Layer Techniques.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2016

Design of a reliable RRAM-based PUF for compact hardware security primitives.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

Partition SRAM and RRAM based synaptic arrays for neuro-inspired computing.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

Compact oscillation neuron exploiting metal-insulator-transition for neuromorphic computing.
Proceedings of the 35th International Conference on Computer-Aided Design, 2016

A highly reliable and tamper-resistant RRAM PUF: Design and experimental validation.
Proceedings of the 2016 IEEE International Symposium on Hardware Oriented Security and Trust, 2016

Security Primitive Design with Nanoscale Devices: A Case Study with Resistive RAM.
Proceedings of the 26th edition on Great Lakes Symposium on VLSI, 2016

MNSIM: Simulation platform for memristor-based neuromorphic computing system.
Proceedings of the 2016 Design, Automation & Test in Europe Conference & Exhibition, 2016

2015
Impact of Cell Failure on Reliable Cross-Point Resistive Memory Design.
ACM Trans. Design Autom. Electr. Syst., 2015

Parallel Architecture With Resistive Crosspoint Array for Dictionary Learning Acceleration.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2015

Device and System Level Design Considerations for Analog-Non-Volatile-Memory Based Neuromorphic Architectures.
CoRR, 2015

Programming strategies to improve energy efficiency and reliability of ReRAM memory systems.
Proceedings of the 2015 IEEE Workshop on Signal Processing Systems, 2015

Scaling 2-layer RRAM cross-point array towards 10 nm node: A device-circuit co-design.
Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015

RRAM based synaptic devices for neuromorphic visual systems.
Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015

Optimizing latency, energy, and reliability of 1T1R ReRAM through appropriate voltage settings.
Proceedings of the 33rd IEEE International Conference on Computer Design, 2015

Mitigating Effects of Non-ideal Synaptic Device Characteristics for On-chip Learning.
Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2015

Overcoming the challenges of crossbar resistive memory architectures.
Proceedings of the 21st IEEE International Symposium on High Performance Computer Architecture, 2015

Exploiting resistive cross-point array for compact design of physical unclonable function.
Proceedings of the IEEE International Symposium on Hardware Oriented Security and Trust, 2015

On-chip Sparse Learning with Resistive Cross-point Array Architecture.
Proceedings of the 25th edition on Great Lakes Symposium on VLSI, GLVLSI 2015, Pittsburgh, PA, USA, May 20, 2015

Technology-design co-optimization of resistive cross-point array for accelerating learning algorithms on chip.
Proceedings of the 2015 Design, Automation & Test in Europe Conference & Exhibition, 2015

Technological exploration of RRAM crossbar array for matrix-vector multiplication.
Proceedings of the 20th Asia and South Pacific Design Automation Conference, 2015

2014
Integration of threshold logic gates with RRAM devices for energy efficient and robust operation.
Proceedings of the IEEE/ACM International Symposium on Nanoscale Architectures, 2014

Design considerations of synaptic device for neuromorphic computing.
Proceedings of the IEEE International Symposium on Circuits and Systemss, 2014

Design guidelines for 3D RRAM cross-point architecture.
Proceedings of the IEEE International Symposium on Circuits and Systemss, 2014

Overview of resistive switching memory (RRAM) switching mechanism and device modeling.
Proceedings of the IEEE International Symposium on Circuits and Systemss, 2014

Orientation classification by a winner-take-all network with oxide RRAM based synaptic devices.
Proceedings of the IEEE International Symposium on Circuits and Systemss, 2014

Scaling and operation characteristics of HfOx based vertical RRAM for 3D cross-point architecture.
Proceedings of the IEEE International Symposium on Circuits and Systemss, 2014

Architecting 3D vertical resistive memory for next-generation storage systems.
Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2014

Reliability-aware cross-point resistive memory design.
Proceedings of the Great Lakes Symposium on VLSI 2014, GLSVLSI '14, Houston, TX, USA - May 21, 2014

Neurophysics-inspired parallel architecture with resistive crosspoint array for dictionary learning.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2014

Parallel Programming of Resistive Cross-point Array for Synaptic Plasticity.
Proceedings of the 5th Annual International Conference on Biologically Inspired Cognitive Architectures, 2014

Modeling and design analysis of 3D vertical resistive memory - A low cost cross-point architecture.
Proceedings of the 19th Asia and South Pacific Design Automation Conference, 2014

2012
Metal-Oxide RRAM.
Proc. IEEE, 2012


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