1 citations · 2 across the 7 of their papers we have counts for
7 papers
Experiments and Modeling of Defect Dynamics and BTI Behavior in Doped InO TFTs during C Post-Processing Forming Gas Annealing
Yu-Hsin Kuo, Chengyang Zhang, Priyankka Ravikumar +13
We investigate the impact of a monolithic three-dimensional (M3D) integration process-critical C post-processing forming gas anneal (FGA) on the electrical performance,…
Cross-Domain Acceleration of Open Modification Search: From Commodity Platforms to Emerging Memory and Storage Devices
Sumukh Pinge, Chang Eun Song, Po-Kai Hsu +10
Open modification search (OMS) in mass spectrometry (MS) is a data-intensive workload whose performance is dominantly limited by reference data movement rather than computation. Pr…
Probabilistic Memory for Trustworthy Edge Intelligence
Likai Pei, Jiahao Zheng, Xueji Zhao +9
Probabilistic computation plays an important role in trustworthy edge intelligence to quantify uncertainty, enhance robustness, reconstruct data, and protect privacy, but its adopt…
Thermal Processing Limits in Oxide-Channel Ferroelectric Field Effect Transistors
Lance Fernandes, Yu-Hsin Kuo, Chengyang Zhang +15
In this work, we report a systematic study of the impact of high-temperature post-capping thermal annealing on the memory characteristics of Oxide-semiconductor channel ferroelectr…
ChatNeuroSim: An LLM Agent Framework for Automated Compute-in-Memory Accelerator Deployment and Optimization
Ming-Yen Lee, Shimeng Yu
Compute-in-Memory (CIM) architectures have been widely studied for deep neural network (DNN) acceleration by reducing data transfer overhead between the memory and computing units.…
Cryogenic Characterization of Ferroelectric Non-volatile Capacitors
Madhav Vadlamani, Dyutimoy Chakraborty, Jianwei Jia +5
Ferroelectric-based capacitive crossbar arrays have been proposed for energy-efficient in-memory computing in the charge domain. They combat the challenges like sneak paths and hig…
Hardware Acceleration of Kolmogorov-Arnold Network (KAN) for Lightweight Edge Inference
Wei-Hsing Huang, Jianwei Jia, Yuyao Kong +4
Recently, a novel model named Kolmogorov-Arnold Networks (KAN) has been proposed with the potential to achieve the functionality of traditional deep neural networks (DNNs) using or…