HomeEventsMars-on-Ray: Accelerating Large-scale Tensor and D...

Ray Summit

Mars-on-Ray: Accelerating Large-scale Tensor and DataFrame Workloads

Wednesday, June 23, 8:35PM UTC

Chris Qin, Senior Software Engineer, Alibaba Cloud

View Slides >>>

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions. Ray, which provides a general purpose task and actor API, is extremely expressive, and guarantees high performance for distributed Python applications. Mars-on-Ray takes advantage of both Mars and Ray; Mars provides familiar data science APIs, and highly optimized, locality-aware, fine-grained task scheduling, and now Mars-on-Ray allows Mars workloads to run on Ray with the same scheduling strategy, but has an extensive ability to scale on Ray clusters.

Speakers

Chris Qin

Chris Qin

Senior Software Engineer, Alibaba Cloud

Chris Qin, is a Senior Software Engineer Alibaba Cloud, and a core developer and architect of Mars project.