Evaluating Cross-Architecture Performance Modeling of Distributed ML Workloads Using StableHLO

Jonas Svedas, Nathan Laubeuf, Ryan Harvey +6

Predicting the performance of large-scale distributed machine learning (ML) workloads across multiple accelerator architectures remains a central challenge in ML system design. Exi…