activity
20182022
most citedParsl: Pervasive Parallel Programming in Python

259 citations · 505 across the 5 of their papers we have counts for

collaborators

8 papers

cs.DC202233 cited

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…

cs.DC2022

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…

cs.DC2020

IMPECCABLE: Integrated Modeling PipelinE for COVID Cure by Assessing Better LEads

Aymen Al Saadi, Dario Alfe, Yadu Babuji +33

The drug discovery process currently employed in the pharmaceutical industry typically requires about 10 years and $2-3 billion to deliver one new drug. This is both too expensive…

q-bio.BM202020 cited

Targeting SARS-CoV-2 with AI- and HPC-enabled Lead Generation: A First Data Release

Yadu Babuji, Ben Blaiszik, Tom Brettin +15

Researchers across the globe are seeking to rapidly repurpose existing drugs or discover new drugs to counter the the novel coronavirus disease (COVID-19) caused by severe acute re…

cs.DC2020193 cited

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…

cs.DC2019

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…