Highly Perfrmant Dataflow in Stream-Orientd Programming in Rust

The lecture focuses on par-stream, a demonstration of stream-oriented programming. It can build a staged pipeline that scales up to CPU cores, and it leverages async/.await to mix I/O-bound and CPU-bound operations. All of them are written in iterator style, allowing users to build a scalable data processing pipeline without tears. The lecture introduces the building blocks to build the pipeline and explores the design in depth.

講者

林祥瑞 (Lin, Hsiang-Jui)

Currently a PhD student in Depart. of CSIE, National Taiwan University. My research focuses on vehicular communication and multi-vehicle consensus. A long-time open-source software hobbyist mainly working on Rust, machine learning and system programming projects.