IEEE

FPGA Implementation of Sparse Matrix Vector Multiplication with Small-Scale Matrix Element Router

Abstract: Sparse Matrix Vector multiplication (SpMV) is a fundamental operation in various computational science applications, characterized by a significant degree of inherent parallelism. Recent ...
IEEE

HC-SpMM: Accelerating Sparse Matrix-Matrix Multiplication for Graphs with Hybrid GPU Cores

Abstract: Sparse Matrix-Matrix Multiplication (SpMM) is a fundamental operation in graph computing and analytics. However, the irregularity of real-world graphs poses significant challenges to ...
GitHub

Efficient 3D Recognition with Event-driven Spike Sparse Convolution

This repo is the official implementation of Efficient 3D Recognition with Event-driven Spike Sparse Convolution. It currently concludes codes and models for the following tasks: 3D Classification: See ...
GitHub

Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models

Sparse Autoencoders (SAEs) have recently been shown to enhance interpretability and steerability in Large Language Models (LLMs). In this work, we extend the application of SAEs to Vision-Language ...