GitHub

Towards GPU-Native SfM for the Deep Learning Era

Note: The project requires an NVIDIA GPU with CUDA support. The code is tested on Ubuntu 20.04 with CUDA 12.1 and PyTorch 2.3.1. Windows system is strongly ...
IEEE

VersaAccel: A Versatile Configurable Accelerator for Diverse Sparse-Dense Matrix Operators

Abstract: Matrix operators are fundamental to various applications, particularly in deep learning. While early models relied on dense operations, techniques like pruning have introduced sparsity, ...