259 citations · 499 across the 6 of their papers we have counts for
7 papers
The Changing Role of RSEs over the Lifetime of Parsl
Daniel S. Katz, Ben Clifford, Yadu Babuji +3
This position paper describes the Parsl open source research software project and its various phases over seven years. It defines four types of research software engineers (RSEs) w…
funcX: Federated Function as a Service for Science
Zhuozhao Li, Ryan Chard, Yadu Babuji +9
funcX is a distributed function as a service (FaaS) platform that enables flexible, scalable, and high performance remote function execution. Unlike centralized FaaS systems, funcX…
Extended Abstract: Productive Parallel Programming with Parsl
Kyle Chard, Yadu Babuji, Anna Woodard +6
Parsl is a parallel programming library for Python that aims to make it easy to specify parallelism in programs and to realize that parallelism on arbitrary parallel and distribute…
funcX: A Federated Function Serving Fabric for Science
Ryan Chard, Yadu Babuji, Zhuozhao Li +5
Exploding data volumes and velocities, new computational methods and platforms, and ubiquitous connectivity demand new approaches to computation in the sciences. These new approach…
Serverless Supercomputing: High Performance Function as a Service for Science
Ryan Chard, Tyler J. Skluzacek, Zhuozhao Li +6
Growing data volumes and velocities are driving exciting new methods across the sciences in which data analytics and machine learning are increasingly intertwined with research. Th…
Parsl: Pervasive Parallel Programming in Python
Yadu Babuji, Anna Woodard, Zhuozhao Li +9
High-level programming languages such as Python are increasingly used to provide intuitive interfaces to libraries written in lower-level languages and for assembling applications…
DLHub: Model and Data Serving for Science
Ryan Chard, Zhuozhao Li, Kyle Chard +7
While the Machine Learning (ML) landscape is evolving rapidly, there has been a relative lag in the development of the "learning systems" needed to enable broad adoption. Furthermo…