3 papers
cs.DC2025
Scaling Point-based Differentiable Rendering for Large-scale Reconstruction
Hexu Zhao, Xiaoteng Liu, Xiwen Min +6
Point-based Differentiable Rendering (PBDR) enables high-fidelity 3D scene reconstruction, but scaling PBDR to high-resolution and large scenes requires efficient distributed train…
cs.CV2025
CLM: Removing the GPU Memory Barrier for 3D Gaussian Splatting
Hexu Zhao, Xiwen Min, Xiaoteng Liu +6
3D Gaussian Splatting (3DGS) is an increasingly popular novel view synthesis approach due to its fast rendering time, and high-quality output. However, scaling 3DGS to large (or in…
cs.DC2024
Understanding GEMM Performance and Energy on NVIDIA Ada Lovelace: A Machine Learning-Based Analytical Approach
Xiaoteng, Liu, Pavly Halim
Analytical framework for predicting General Matrix Multiplication (GEMM) performance on modern GPUs, focusing on runtime, power consumption, and energy efficiency. Our study employ…