#cplusplus #cuda #cutlass #gpu #pytorch
Flux is a library that helps speed up machine learning on GPUs by overlapping communication and computation tasks. It supports various parallelisms in model training and inference, making it compatible with PyTorch and different Nvidia GPU architectures. This means you can train models faster because Flux combines the steps of sending data between GPUs (communication) and doing calculations (computation), allowing them to happen at the same time. This overlap reduces overall training time, which is beneficial for users working with large or complex models.
https://github.com/bytedance/flux
Flux is a library that helps speed up machine learning on GPUs by overlapping communication and computation tasks. It supports various parallelisms in model training and inference, making it compatible with PyTorch and different Nvidia GPU architectures. This means you can train models faster because Flux combines the steps of sending data between GPUs (communication) and doing calculations (computation), allowing them to happen at the same time. This overlap reduces overall training time, which is beneficial for users working with large or complex models.
https://github.com/bytedance/flux
GitHub
GitHub - bytedance/flux: A fast communication-overlapping library for tensor/expert parallelism on GPUs.
A fast communication-overlapping library for tensor/expert parallelism on GPUs. - bytedance/flux