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20182023
most citedMiddleware Building Blocks for Workflow Systems

48 citations · 74 across the 8 of their papers we have counts for

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14 papers · 1 filter

cs.DC2021

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…

cs.DC2021

Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development

Rafael Ferreira da Silva, Henri Casanova, Kyle Chard +55

Scientific workflows are a cornerstone of modern scientific computing, and they have underpinned some of the most significant discoveries of the last decade. Many of these workflow…

cs.DC20211 cited

Workflows Community Summit: Bringing the Scientific Workflows Community Together

Rafael Ferreira da Silva, Henri Casanova, Kyle Chard +42

Scientific workflows have been used almost universally across scientific domains, and have underpinned some of the most significant discoveries of the past several decades. Many of…

cs.DC2021

Pandemic Drugs at Pandemic Speed: Infrastructure for Accelerating COVID-19 Drug Discovery with Hybrid Machine Learning- and Physics-based Simulations on High Performance Computers

Agastya P. Bhati, Shunzhou Wan, Dario Alfè +26

The race to meet the challenges of the global pandemic has served as a reminder that the existing drug discovery process is expensive, inefficient and slow. There is a major bottle…

cs.DC2021

Design and Performance Characterization of RADICAL-Pilot on Leadership-class Platforms

Andre Merzky, Matteo Turilli, Mikhail Titov +2

Many extreme scale scientific applications have workloads comprised of a large number of individual high-performance tasks. The Pilot abstraction decouples workload specification,…

cs.DC2020

Comparing Workflow Application Designs for High Resolution Satellite Image Analysis

Aymen Al-Saadi, Ioannis Paraskevakos, Bento Collares Gonçalves +3

Very High Resolution satellite and aerial imagery are used to monitor and conduct large scale surveys of ecological systems. Convolutional Neural Networks have successfully been em…