#gpu-acceleration

#gpu-acceleration

Newton provides GPU-accelerated, extensible, high-fidelity physics simulation to accelerate generalist robotics research, enabling scalable, accurate training and testing of contact-rich behaviors.

DataPelago's Nucleus dramatically accelerates data processing across hardware, outperforming Nvidia's cuDF and exposing significant software-driven GPU performance limitations.

GPU acceleration can greatly enhance traditional machine learning workflows

Focus on cuML, XGBoost, and dimensionality reduction techniques for efficient data processing

Leveraging GPU acceleration can significantly improve performance in graph analytics.

nx-cugraph provides a solution for enhancing NetworkX workflows on larger datasets.