GitHub

Enable Loading and Processing of External Density Matrices in CSR Format

With the rise of AI-driven DFT (AI-DFT) models, there is a growing need to integrate their outputs with traditional DFT software. Our models can generate electron density matrices in the Compressed ...
IEEE

Accelerating Sparse Matrix-Matrix Multiplication by Adaptive Batching Strategy on MGPUSim

Abstract: Sparse Matrix-Matrix Multiplication (SpMM) is a widely used algorithm in Machine Learning, particularly in the increasingly popular Graph Neural Networks (GNNs). SpMM is an essential ...
GitHub

Matrix: Multi-Agent daTa geneRation Infra and eXperimentation

04/2025: 🔥 We officially released Matrix with Collaborative Reasoner, showcasing the generation of multi-agent collaborative conversation with Matrix as inference engine. Matrix is a library for fast ...
IEEE

FastLoad: Speeding Up Data Loading of Both Sparse Matrix and Vector for SpMV on GPUs

Abstract: Sparse Matrix-Vector Multiplication (SpMV) on GPUs has gained significant attention because of SpMV's importance in modern applications and the increasing computing power of GPUs in the last ...