Niall Gaffney

According to our database, Niall Gaffney authored at least 17 papers between 2003 and 2022.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2022

Prediction of whole-cell transcriptional response with machine learning.

Mohammed Eslami, Amin Espah Borujeni, Hamed Eramian, Mark Weston, George Zheng, Joshua Urrutia, Carolyn Corbet, Diveena Becker, Paul Maschhoff, Katie Clowers, Alexander Cristofaro, Hamid Doost Hosseini, D. Benjamin Gordon, Yuval Dorfan, Jedediah Singer, Matthew Vaughn, Niall Gaffney, John Fonner, Joe Stubbs, Christopher A. Voigt, Enoch Yeung

Bioinform., 2022

2019

Computing environments for reproducibility: Capturing the "Whole Tale".

Adam Brinckman, Kyle Chard, Niall Gaffney, Mihael Hategan, Matthew B. Jones, Kacper Kowalik, Sivakumar Kulasekaran, Bertram Ludäscher, Bryce D. Mecum, Jarek Nabrzyski, Victoria Stodden, Ian J. Taylor, Matthew J. Turk, Kandace Turner

Future Gener. Comput. Syst., 2019

The demise of the filesystem and multi level service architecture.

William O'Mullane, Niall Gaffney, Frossie Economou, Arfon M. Smith, J. Ross Thomson, Tim Jenness

CoRR, 2019

Toward Enabling Reproducibility for Data-Intensive Research Using the Whole Tale Platform.

Kyle Chard, Niall Gaffney, Mihael Hategan, Kacper Kowalik, Bertram Ludäscher, Timothy M. McPhillips, Jarek Nabrzyski, Victoria Stodden, Ian J. Taylor, Thomas Thelen, Matthew J. Turk, Craig Willis

Proceedings of the Parallel Computing: Technology Trends, 2019

Implementing Computational Reproducibility in the Whole Tale Environment.

Kyle Chard, Niall Gaffney, Matthew B. Jones, Kacper Kowalik, Bertram Ludäscher, Jarek Nabrzyski, Victoria Stodden, Ian J. Taylor, Matthew J. Turk, Craig Willis

Proceedings of the 2nd International Workshop on Practical Reproducible Evaluation of Computer Systems, 2019

Application of BagIt-Serialized Research Object Bundles for Packaging and Re-Execution of Computational Analyses.

Kyle Chard, Thomas Thelen, Matthew J. Turk, Craig Willis, Niall Gaffney, Matthew B. Jones, Kacper Kowalik, Bertram Ludäscher, Timothy M. McPhillips, Jarek Nabrzyski, Victoria Stodden, Ian J. Taylor

Proceedings of the 15th International Conference on eScience, 2019

A data-driven method for quantifying the impact of a genetic circuit on its host.

Aqib Hasnain, Diveena Becker, Atsede Siba, Narendra Maheshri, Ben Gordon, Chris Voigt, Enoch Yeung, Subhrajit Sinha, Yuval Dorfan, Amin Espah Borujeni, Yongjin Park, Paul Maschhoff, Uma Saxena, Joshua Urrutia, Niall Gaffney

Proceedings of the 2019 IEEE Biomedical Circuits and Systems Conference, 2019

2018

FanStore: Enabling Efficient and Scalable I/O for Distributed Deep Learning.

Zhao Zhang, Lei Huang, Uri Manor, Linjing Fang, Gabriele Merlo, Craig Michoski, John Cazes, Niall Gaffney

CoRR, 2018

Improving Research Outcomes Leveraging Digital Libraries, Advanced Computing, and Data.

Niall Gaffney

Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries, 2018

2017

Stampede 2: The Evolution of an XSEDE Supercomputer.

Dan Stanzione, Bill Barth, Niall Gaffney, Kelly P. Gaither, Chris Hempel, Tommy Minyard, Susan Mehringer, Eric A. Wernert, H. Tufo, Dhabaleswar K. Panda, Patricia J. Teller

Proceedings of the Practice and Experience in Advanced Research Computing 2017: Sustainability, 2017

2016

Capturing the "Whole Tale" of Computational Research: Reproducibility in Computing Environments.

Bertram Ludäscher, Kyle Chard, Niall Gaffney, Matthew B. Jones, Jaroslaw Nabrzyski, Victoria Stodden, Matthew J. Turk

CoRR, 2016

2015

Jetstream: a self-provisioned, scalable science and engineering cloud environment.

Craig A. Stewart, Timothy M. Cockerill, Ian T. Foster, David Y. Hancock, Nirav C. Merchant, Edwin Skidmore, Daniel Stanzione, James Taylor, Steven Tuecke, George W. Turner, Matthew Vaughn, Niall I. Gaffney

Proceedings of the 2015 XSEDE Conference: Scientific Advancements Enabled by Enhanced Cyberinfrastructure, St. Louis, MO, USA, July 26, 2015

Feature frequency profiles for automatic sample identification using PySpark.

Gregory J. Zynda, Niall Gaffney, Mehmet M. Dalkilic, Matthew W. Vaughn

Proceedings of the 5th Workshop on Python for High-Performance and Scientific Computing, 2015

Wrangler's user environment: A software framework for management of data-intensive computing system.

Christopher Jordan, David Walling, Weijia Xu, Stephen A. Mock, Niall Gaffney, Dan Stanzione

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014

Building Wrangler: A transformational data intensive resource for the open science community.

Niall Gaffney, Christopher Jordan, Tommy Minyard, Dan Stanzione

Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

2013

Performance evaluation of R with Intel Xeon Phi coprocessor.

Yaakoub El Khamra, Niall Gaffney, David Walling, Eric A. Wernert, Weijia Xu, Hui Zhang

Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

2003

Grid-Based Galaxy Morphology Analysis for the National Virtual Observatory.

Ewa Deelman, Raymond Plante, Carl Kesselman, Gurmeet Singh, Mei-Hui Su, Gretchen Greene, Robert J. Hanisch, Niall Gaffney, Antonio Volpicelli, James Annis, Vijay Sekhri, Tamas Budavari, María A. Nieto-Santisteban, William O'Mullane, David Bohlender, Tom McGlynn, Arnold H. Rots, Olga Pevunova

Proceedings of the ACM/IEEE SC2003 Conference on High Performance Networking and Computing, 2003