88 citations · 219 across the 25 of their papers we have counts for
25 papers
A Novel FeFET Differential Bit-Cell With Hybrid Volatile and Non-Volatile Memory Modes
Jianze Wang, Wei Zhang, Xuanyao Fong
Non-volatile SRAM (nvSRAM) designs have been investigated to address the high leakage power of CMOS-based SRAM and the large write latency of emerging non-volatile memory (eNVM) te…
SHIELD: A Segmented Hierarchical Memory Architecture for Energy-Efficient LLM Inference on Edge NPUs
Jintao Zhang, Xuanyao Fong
Large Language Model (LLM) inference on edge Neural Processing Units (NPUs) is fundamentally constrained by limited on-chip memory capacity. Although high-density embedded DRAM (eD…
A Unified Evaluation Framework for Spiking Neural Network Hardware Accelerators Based on Emerging Non-Volatile Memory Devices
Debasis Das, Xuanyao Fong
Spiking Neural Networks (SNNs) have emerged as a promising paradigm, offering event-driven and energy-efficient computation. In recent studies, various devices tailored for SNN syn…
Massively Parallel Continuous Local Search for Hybrid SAT Solving on GPUs
Yunuo Cen, Zhiwei Zhang, Xuanyao Fong
Although state-of-the-art (SOTA) SAT solvers based on conflict-driven clause learning (CDCL) have achieved remarkable engineering success, their sequential nature limits the parall…
Energy-efficient superparamagnetic Ising machine and its application to traveling salesman problems
Jia Si, Shuhan Yang, Yunuo Cen +7
The growth of artificial intelligence and IoT has created a significant computational load for solving non-deterministic polynomial-time (NP)-hard problems, which are difficult to…
Anomalous and Topological Hall Resistivity in Ta/CoFeB/MgO Magnetic Systems for Neuromorphic Computing Applications
Aijaz H. Lone, Xuecui Zou, Debasis Das +3
Topologically protected spin textures, such as magnetic skyrmions, have the potential for dense data storage as well as energy-efficient computing due to their small size and a low…
Efficient domain wall motion driven by the out-of-plane spin polarization
Jingwei Long, Yumeng Yang, Shuyuan Shi +3
Fast domain wall motion in systems with perpendicular magnetization is necessary for many novel applications such as the racetrack memory, domain wall logic devices and artificial…
Electrical Tunable Spintronic Neuron with Trainable Activation Function
Yue Xin, Kang Zhou, Xuanyao Fong +3
Spintronic devices have been widely studied for the hardware realization of artificial neurons. The stochastic switching of magnetic tunnel junction driven by the spin torque is co…
Design of Spintronics-based Neuronal and Synaptic Devices for Spiking Neural Network Circuits
Debasis Das, Yunuo Cen, Jianze Wang +1
Topologically stable magnetic skyrmion has a much lower depinning current density that may be useful for memory as well as neuromorphic computing. However, skyrmion-based devices s…
Self-reset schemes for Magnetic domain wall-based neuron
Debasis Das, Xuanyao Fong
Spintronic artificial spiking neurons are promising due to their ability to closely mimic the leaky integrate-and-fire (LIF) dynamics of the biological LIF spiking neuron. However,…
CITS: Coherent Ising Tree Search Algorithm Towards Solving Combinatorial Optimization Problems
Yunuo Cen, Debasis Das, Xuanyao Fong
Simulated annealing (SA) attracts more attention among classical heuristic algorithms because the solution of the combinatorial optimization problem can be naturally mapped to the…
Bilayer-skyrmion-based design of neuron and synapse for spiking neural network
Debasis Das, Yunuo Cen, Jianze Wang +1
Magnetic skyrmion technology is promising for the next-generation spintronics-based memory and neuromorphic computing due to their small size, non-volatility and low depinning curr…
A Fokker-Planck Approach for Modeling the Stochastic Phenomena in Magnetic and Resistive Random Access Memory Devices
Debasis Das, Xuanyao Fong
Embedded non-volatile memory technologies such as resistive random access memory (RRAM) and spin-transfer torque magnetic RAM (STT MRAM) are increasingly being researched for appli…
Connection Pruning for Deep Spiking Neural Networks with On-Chip Learning
Thao N. N. Nguyen, Bharadwaj Veeravalli, Xuanyao Fong
Long training time hinders the potential of the deep, large-scale Spiking Neural Network (SNN) with the on-chip learning capability to be realized on the embedded systems hardware.…
Electrical generation and detection of terahertz signal based on spin-wave emission from ferrimagnets
Zhifeng Zhu, Kaiming Cai, Jiefang Deng +4
Terahertz (THz) signals, mainly generated by photonic or electronic approaches, are being sought for various applications, whereas the development of magnetic source might be a nec…
SIMBA: A Skyrmionic In-Memory Binary Neural Network Accelerator
Venkata Pavan Kumar Miriyala, Kale Rahul Vishwanath, Xuanyao Fong
Magnetic skyrmions are emerging as potential candidates for next generation non-volatile memories. In this paper, we propose an in-memory binary neural network (BNN) accelerator ba…
Voltage-input spintronic oscillator based on competing effect for extended oscillation regions
Zhu Zhifeng, Deng Jiefang, Fong Xuanyao +1
The stable precession region in the spintronic oscillator with an in-plane magnetic tunnel junction is very narrow under small external fields, restricting its applications such as…
Spin-wave mediated interactions for Majority Computation using Skyrmions and Spin-torque Nano-oscillators
Venkata Pavan Kumar Miriyala, Zhifeng Zhu, Gengchiau Liang +1
Recent progress in all-electrical nucleation, detection and manipulation of magnetic skyrmions has unlocked the tremendous potential of skyrmion-based spintronic devices. Here, we…
Spin-torque-induced magnetization dynamics in ferrimagnets based on Landau-Lifshitz-Bloch Equation
Zhifeng Zhu, Xuanyao Fong, Gengchiau Liang
A theoretical model based on the Landau-Lifshitz-Bloch equation is developed to study the spin-torque effect in ferrimagnets. Experimental findings, such as the temperature depende…
Electric-field-induced Three-terminal pMTJ Switching in the absence of an External Magnetic Field
Jiefang Deng, Xuanyao Fong, Gengchiau Liang
Since it is undesirable to require an external magnetic field for on-chip memory applications, we investigate the use of a Rashba effective field alternatively for assisting the el…
Theoretical Proposal for Determining Angular Momentum Compensation in Ferrimagnets
Zhifeng Zhu, Xuanyao Fong, Gengchiau Liang
This work demonstrates that the magnetization and angular momentum compensation temperature (TMC and TAMC) in ferrimagnets (FiM) can be unambiguously determined by performing two s…
Yield, Area and Energy Optimization in Stt-MRAMs using failure aware ECC
Zoha Pajouhi, Xuanyao Fong, Anand Raghunathan +1
Spin Transfer Torque MRAMs are attractive due to their non-volatility, high density and zero leakage. However, STT-MRAMs suffer from poor reliability due to shared read and write p…
Modeling and Simulation of Spin Transfer Torque Generated at Topological Insulator/Ferromagnetic Heterostructure
Ahmed K. Reza, Xuanyao Fong, Zubair Al Azim +1
Topological Insulator (TI) has recently emerged as an attractive candidate for possible application to spintronic circuits because of its strong spin orbit coupling. TIs are unique…
Spin-Orbit Torque Induced Spike-Timing Dependent Plasticity
Abhronil Sengupta, Zubair Al Azim, Xuanyao Fong +1
Nanoelectronic devices that mimic the functionality of synapses are a crucial requirement for performing cortical simulations of the brain. In this work we propose a ferromagnet-he…