GBDT Accelerated Ranker Framework
This framework is designed to accelerate ad and document ranking tasks using trained XGBoost models, leveraging hardware acceleration on NVIDIA CUDA GPUs, Apple Silicon Metal GPUs, and single-threaded C for portability. The project aims to improve performance by concurrently scoring user-feature vectors against large candidate document vectors i...
- Language
- Python
- Last updated