Showing 5 of 5 projects
A unified deep learning system for efficient large-scale model training and inference with advanced parallelism strategies.
An industrial deep learning framework supporting unified dynamic/static graphs, automatic parallelism, and integrated training/inference for large models.
An industrial deep learning framework from China supporting unified dynamic/static graphs, automatic parallelism, and integrated training/inference for large models.
A fast, expressive, and header-only C++ library for building task-parallel programs with static, dynamic, and conditional task graphs.
A C++ GPU computing library providing an STL-like interface for OpenCL-based parallel programming.
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