33 citations · 40 across the 3 of their papers we have counts for
4 papers · 1 filter
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…
ExaWorks: Workflows for Exascale
Aymen Al-Saadi, Dong H. Ahn, Yadu Babuji +12
Exascale computers will offer transformative capabilities to combine data-driven and learning-based approaches with traditional simulation applications to accelerate scientific dis…
Toward Enabling Reproducibility for Data-Intensive Research using the Whole Tale Platform
Kyle Chard, Niall Gaffney, Mihael Hategan +9
Whole Tale http://wholetale.org is a web-based, open-source platform for reproducible research supporting the creation, sharing, execution, and verification of "Tales" for the scie…
Realizing Fast, Scalable and Reliable Scientific Computations in Grid Environments
Yong Zhao, Ioan Raicu, Ian Foster +3
The practical realization of managing and executing large scale scientific computations efficiently and reliably is quite challenging. Scientific computations often involve thousan…