Todd Mytkowicz

Niijima

2019

Multilingual data-parallel pipelines, such as Microsoft's Scope and Apache Spark, are widely used in real-world analytical tasks. While the involvement of multiple languages (often including both managed and native languages) provides much convenience in data …

Breaking the computation and communication abstraction barrier in distributed machine learning workloads

2022

Recent trends towards large machine learning models require both training and inference tasks to be distributed. Considering the huge cost of training these models, it is imperative to unlock optimizations in computation and communication to …