activity
20122026
most citedMiddleware Building Blocks for Workflow Systems

48 citations · 140 across the 31 of their papers we have counts for

collaborators
Showing 2021Show all

6 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…

q-bio.BM2021★ 2 cited

Protein-Ligand Docking Surrogate Models: A SARS-CoV-2 Benchmark for Deep Learning Accelerated Virtual Screening

Austin Clyde, Thomas Brettin, Alexander Partin +8

We propose a benchmark to study surrogate model accuracy for protein-ligand docking. We share a dataset consisting of 200 million 3D complex structures and 2D structure scores acro…

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.DC2021

RADICAL-Pilot and Parsl: Executing Heterogeneous Workflows on HPC Platforms

Aymen Alsaadi, Logan Ward, Andre Merzky +4

Workflows applications are becoming increasingly important to support scientific discovery. That is leading to a proliferation of workflow management systems and, thus, to a fragme…

cs.DC2021★ 3 cited

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★ 3 cited

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,…