This project develops a theoretical view of convergence and delayed updates in randomized PipeDream-style pipeline parallelism. It studies how pipeline stages, stale information, and optimization dynamics interact when model updates are distributed across a pipeline.
The related preprint, “Demystifying Pipeline Parallelism: First Theory for PipeDream,” is accompanied by a public research codebase with synthetic objectives and reproducible experiments.