viable/strict/1770444036: [SymmMem] put_signal and wait_signal (#174034)
New PyTorch features let AI chips talk directly, speeding up complex model training.
Deep Dive
PyTorch has introduced two new operations, 'put_signal' and 'wait_signal', to streamline communication between processors during AI training. These backend-agnostic tools allow one chip to send data and a notification directly to another's shared memory, reducing coordination overhead. Currently implemented for NVIDIA's NCCL, the feature aims to boost performance for large-scale distributed training by making inter-processor signaling more efficient, with support for other hardware backends planned for the future.
Why It Matters
This speeds up training for massive AI models, making development faster and more cost-effective.