Placement Semantics for Distributed Deep Learning: A Systematic Framework for Analyzing Parallelism Strategies

Deep Pankajbhai Mehta

Training large language models requires distributing computation across many accelerators, yet practitioners select parallelism strategies (data, tensor, pipeline, ZeRO) through tr…