activity
20122024
most citedParsl: Pervasive Parallel Programming in Python

259 citations · 478 across the 14 of their papers we have counts for

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Showing cs.DCShow all

11 papers · 1 filter

cs.DC2024

Steering a Fleet: Adaptation for Large-Scale, Workflow-Based Experiments

Jim Pruyne, Valerie Hayot-Sasson, Weijian Zheng +5

Experimental science is increasingly driven by instruments that produce vast volumes of data and thus a need to manage, compute, describe, and index this data. High performance and…

cs.DC2023★ 13 cited

PSI/J: A Portable Interface for Submitting, Monitoring, and Managing Jobs

Mihael Hategan-Marandiuc, Andre Merzky, Nicholson Collier +10

It is generally desirable for high-performance computing (HPC) applications to be portable between HPC systems, for example to make use of more performant hardware, make effective…

cs.DC2023

Developing Distributed High-performance Computing Capabilities of an Open Science Platform for Robust Epidemic Analysis

Nicholson Collier, Justin M. Wozniak, Abby Stevens +6

COVID-19 had an unprecedented impact on scientific collaboration. The pandemic and its broad response from the scientific community has forged new relationships among domain expert…

cs.DC2022★ 15 cited

WfBench: Automated Generation of Scientific Workflow Benchmarks

Tainã Coleman, Henri Casanova, Ketan Maheshwari +6

The prevalence of scientific workflows with high computational demands calls for their execution on various distributed computing platforms, including large-scale leadership-class…

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.DC2021★ 1 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.DC2020

Big Data Staging with MPI-IO for Interactive X-ray Science

Justin M. Wozniak, Hemant Sharma, Timothy G. Armstrong +3

New techniques in X-ray scattering science experiments produce large data sets that can require millions of high-performance processing hours per week of computation for analysis.…

cs.DC2019★ 259 cited

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…

cs.DC2017

Streaming supercomputing needs workflow-enabled programming-in-the-large

Justin M Wozniak, Jonathan Ozik, Daniel S. Katz +1

This is a position paper, submitted to the Future Online Analysis Platform Workshop (https://press3.mcs.anl.gov/futureplatform/), which argues that simple data analysis application…

cs.DC2012★ 14 cited

Many-Task Computing and Blue Waters

Daniel S. Katz, Timothy G. Armstrong, Zhao Zhang +2

This report discusses many-task computing (MTC) generically and in the context of the proposed Blue Waters systems, which is planned to be the largest NSF-funded supercomputer when…