55 citations · 105 across the 12 of their papers we have counts for
13 papers
Co-scheduling Ensembles of In Situ Workflows
Tu Mai Anh Do, Loïc Pottier, Rafael Ferreira da Silva +4
Molecular dynamics (MD) simulations are widely used to study large-scale molecular systems. HPC systems are ideal platforms to run these studies, however, reaching the necessary si…
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…
Design Concerns for Integrated Scripting and Interactive Visualization in Notebook Environments
Connor Scully-Allison, Ian Lumsden, Katy Williams +6
Interactive visualization can support fluid exploration but is often limited to predetermined tasks. Scripting can support a vast range of queries but may be more cumbersome for fr…
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…
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…
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…
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…
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…
SOMOSPIE: A modular SOil MOisture SPatial Inference Engine based on data driven decisions
Danny Rorabaugh, Mario Guevara, Ricardo Llamas +3
The current availability of soil moisture data over large areas comes from satellite remote sensing technologies (i.e., radar-based systems), but these data have coarse resolution…
Applicability study of the PRIMAD model to LIGO gravitational wave search workflows
Dylan Chapp, Danny Rorabaugh, Duncan Brown +4
The PRIMAD model with its six components (i.e., Platform, Research Objective, Implementation, Methods, Actors, and Data), provides an abstract taxonomy to represent computational e…
Studying the Impact of Power Capping on MapReduce-based, Data-intensive Mini-applications on Intel KNL and KNM Architectures
Joshua Hoke Davis, Tao Gao, Sunita Chandresekaran +1
In this poster, we quantitatively measure the impacts of data movement on performance in MapReduce-based applications when executed on HPC systems. We leverage the PAPI 'powercap'…
In-Situ Data Analysis of Protein Folding Trajectories
Travis Johnston, Boyu Zhang, Adam Liwo +2
The transition from petascale to exascale computers is characterized by substantial changes in the computer architectures and technologies. The research community relying on comput…
Hierarchical fractional-step approximations and parallel kinetic Monte Carlo algorithms
Giorgos Arampatzis, Markos A. Katsoulakis, Petr Plechac +2
We present a mathematical framework for constructing and analyzing parallel algorithms for lattice Kinetic Monte Carlo (KMC) simulations. The resulting algorithms have the capacity…