activity
20192022
most citedBuilding Containerized Environments for Reproducibility and Traceability of Scientific Workflows

6 citations · 10 across the 6 of their papers we have counts for

collaborators

9 papers

astro-ph.IM20223 cited

Reproducibility of the First Image of a Black Hole in the Galaxy M87 from the Event Horizon Telescope (EHT) Collaboration

Ria Patel, Brandan Roachell, Silvina Caino-Lores +6

This paper presents an interdisciplinary effort aiming to develop and share sustainable knowledge necessary to analyze, understand, and use published scientific results to advance…

cs.NI2021

Cybercosm: New Foundations for a Converged Science Data Ecosystem

Mark Asch, François Bodin, Micah Beck +4

Scientific communities naturally tend to organize around data ecosystems created by the combination of their observational devices, their data repositories, and the workflows essen…

cs.DC2021

VPIC 2.0: Next Generation Particle-in-Cell Simulations

Robert Bird, Nigel Tan, Scott V. Luedtke +3

VPIC is a general purpose Particle-in-Cell simulation code for modeling plasma phenomena such as magnetic reconnection, fusion, solar weather, and laser-plasma interaction in three…

cs.LG2021

PEng4NN: An Accurate Performance Estimation Engine for Efficient Automated Neural Network Architecture Search

Ariel Keller Rorabaugh, Silvina Caíno-Lores, Michael R. Wyatt +2

Neural network (NN) models are increasingly used in scientific simulations, AI, and other high performance computing (HPC) fields to extract knowledge from datasets. Each dataset r…

cs.DC2020

Reproducing GW150914: the first observation of gravitational waves from a binary black hole merger

Duncan A. Brown, Karan Vahi, Michela Taufer +2

In 2016, LIGO and Virgo announced the first observation of gravitational waves from a binary black hole merger, known as GW150914. To establish the confidence of this detection, la…

cs.DC20206 cited

Building Containerized Environments for Reproducibility and Traceability of Scientific Workflows

Paula Olaya, Jay Lofstead, Michela Taufer

Scientists rely on simulations to study natural phenomena. Trusting the simulation results is vital to develop sciences in any field. One approach to build trust is to ensure the r…