Abstract: Recently, analog matrix inversion circuits (INV) have demonstrated significant advantages in solving matrix equations. However, solving large-scale sparse tridiagonal linear systems (TLS) ...

Abstract: Computing three-phase short-circuit currents (3pSCCs) in large-scale high-voltage power systems needs to find the inverted nodal admittance matrix, which is generally time- consuming.

TensorRT Edge-LLM is NVIDIA's high-performance C++ inference runtime for Large Language Models (LLMs) and Vision-Language Models (VLMs) on embedded platforms. It enables efficient deployment of ...

Dual-Level Refinement (DLR) with CLIP for Few-Shot Learning. This project implements advanced multi-module fusion techniques for improving CLIP performance on few-shot learning tasks through ...