133 citations · 344 across the 9 of their papers we have counts for
9 papers
Software-Hardware Codesign for Efficient In-Memory Regular Pattern Matching
Lingkun Kong, Qixuan Yu, Agnishom Chattopadhyay +4
Regular pattern matching is used in numerous application domains, including text processing, bioinformatics, and network security. Patterns are typically expressed with an extended…
MeNTT: A Compact and Efficient Processing-in-Memory Number Theoretic Transform (NTT) Accelerator
Dai Li, Akhil Pakala, Kaiyuan Yang
Lattice-based cryptography (LBC) exploiting Learning with Errors (LWE) problems is a promising candidate for post-quantum cryptography. Number theoretic transform (NTT) is the late…
Magnetoelectric Bio-Implants Powered and Programmed by a Single Transmitter for Coordinated Multisite Stimulation
Zhanghao Yu, Joshua C. Chen, Yan He +5
This article presents a hardware platform including stimulating implants wirelessly powered and controlled by a shared transmitter (TX) for coordinated leadless multisite stimulati…
Training BatchNorm Only in Neural Architecture Search and Beyond
Yichen Zhu, Jie Du, Yuqin Zhu +4
This work investigates the usage of batch normalization in neural architecture search (NAS). Specifically, Frankle et al. find that training BatchNorm only can achieve nontrivial p…
A Self-Regulated and Reconfigurable CMOS Physically Unclonable Function Featuring Zero-Overhead Stabilization
Dai Li, Kaiyuan Yang
This article presents a reconfigurable physically unclonable function (PUF) design fabricated using 65-nm CMOS technology. A subthreshold-inverter-based static PUF cell achieves 0.…
MagNI: A Magnetoelectrically Powered and Controlled Wireless Neurostimulating Implant
Zhanghao Yu, Joshua C. Chen, Fatima T. Alrashdan +5
This paper presents the first wireless and programmable neural stimulator leveraging magnetoelectric (ME) effects for power and data transfer. Thanks to low tissue absorption, low…
A Dual-Port 8-T CAM-Based Network Intrusion Detection Engine for IoT
Dai Li, Kaiyuan Yang
This letter presents an energy- and memory-efficient pattern-matching engine for a network intrusion detection system (NIDS) in the Internet of Things. Tightly coupled architecture…
CAP-RAM: A Charge-Domain In-Memory Computing 6T-SRAM for Accurate and Precision-Programmable CNN Inference
Zhiyu Chen, Zhanghao Yu, Qing Jin +6
A compact, accurate, and bitwidth-programmable in-memory computing (IMC) static random-access memory (SRAM) macro, named CAP-RAM, is presented for energy-efficient convolutional ne…
NPAS: A Compiler-aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration
Zhengang Li, Geng Yuan, Wei Niu +13
With the increasing demand to efficiently deploy DNNs on mobile edge devices, it becomes much more important to reduce unnecessary computation and increase the execution speed. Pri…