Jiaming Yuan
Engineer, RAPIDS, NVIDIA
China
Company / Organisation –NVIDIA
Session
11-16
12:40
15min
End-to-end GPU Acceleration for scikit-learn and XGBoost
Jiaming Yuan
With the ever-growing data size and the increasing complexity of data science workflows, high-performance computing becomes crucial for data scientists to tackle real-world problems. Attendees will learn to leverage RAPIDS projects with GPUs to accelerate and scale up scikit-learn and XGBoost model training workflows.
Performance
LT9