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ORCIDMatthew W. Vaughn
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2020 – today
- 2024
[j13]Tyson L. Swetnam
, Parker B. Antin, Ryan Bartelme, Alexander Bucksch, David Camhy, Greg Chism, Illyoung Choi, Amanda M. Cooksey, Michele Cosi, Cindy Cowen, Michael Culshaw-Maurer, Robert Davey, Sean Davey, Upendra Devisetty, Tony Edgin, Andy Edmonds, Dmitry V. Fedorov, Jeremy Frady, John Fonner, Jeffrey K. Gillan, Iqbal Hossain, Blake Joyce, Konrad Lang, Tina Lee, Shelley Littin, Ian McEwen, Nirav C. Merchant, David Micklos, Andrew Nelson, Ashley Ramsey, Sarah Roberts, Paul Sarando, Edwin Skidmore, Jawon Song, Mary Margaret Sprinkle, Sriram Srinivasan, Dan Stanzione, Jonathan D. Strootman, Sarah Stryeck, Reetu Tuteja, Matthew Vaughn, Mojib Wali, Mariah Wall, Ramona Walls, Liya Wang, Todd Wickizer, Jason Williams, John Wregglesworth, Eric Lyons:
CyVerse: Cyberinfrastructure for open science. PLoS Comput. Biol. 20(2) (2024)- 2022
- [j12]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:
Prediction of whole-cell transcriptional response with machine learning. Bioinform. 38(2): 404-409 (2022) - 2021
- [j11]John West, Paul A. Navrátil, Maytal Dahan, Matthew Vaughn:
Large Scale Science on NSF's Frontera System. Comput. Sci. Eng. 23(3): 10-13 (2021) - [j10]Pnina Fichman, Matthew Vaughn:
The relationships between misinformation and outrage trolling tactics on two Yahoo! Answers categories. J. Assoc. Inf. Sci. Technol. 72(12): 1498-1510 (2021) - [c15]Amit Ruhela, Stephen Lien Harrell, Richard Todd Evans, Gregory J. Zynda, John M. Fonner, Matt Vaughn, Tommy Minyard, John Cazes:
Characterizing Containerized HPC Applications Performance at Petascale on CPU and GPU Architectures. ISC 2021: 411-430 - [c14]David Y. Hancock, Jeremy Fischer, John Michael Lowe, Winona Snapp-Childs, Marlon E. Pierce, Suresh Marru, J. Eric Coulter, Matthew Vaughn, Brian W. Beck, Nirav C. Merchant, Edwin Skidmore, Gwen A. Jacobs:
Jetstream2: Accelerating cloud computing via Jetstream. PEARC 2021: 11:1-11:8 - 2020
- [c13]Shannon M. Oltmann, Sarah Barriage, Devon L. Greyson, Matthew Vaughn:
How to undertake ideologically contentious research: Leaning on reflexivity and positionality to address uncomfortable disjuncture's in information research. ASIST 2020 - [c12]Joe Stubbs, Julia Looney, Marjo Poindexter, Elias Chalhoub, Gregory J. Zynda, Erik S. Ferlanti, Matthew Vaughn, John M. Fonner, Maytal Dahan:
Integrating Jupyter into Research Computing Ecosystems: Challenges and Successes in Architecting JupyterHub for Collaborative Research Computing Ecosystems. PEARC 2020: 91-98
2010 – 2019
- 2019
- [j9]David Y. Hancock, Craig A. Stewart, Matthew Vaughn, Jeremy Fischer, John Michael Lowe, George W. Turner, Tyson Lee Swetnam, Tyler K. Chafin, Enis Afgan, Marlon E. Pierce, Winona Snapp-Childs:
Jetstream - Early operations performance, adoption, and impacts. Concurr. Comput. Pract. Exp. 31(16) (2019) - [c11]Francis C. Motta, John Harer, Nick Leiby, Franco Marinozzi, Scott Novotney, Gabe Rocklin, Jed Singer, Devin Strickland, Matt Vaughn, Christopher J. Tralie, Rossella Bedini, Fabiano Bini, Gilberto Bini, Hamed Eramian, Marcio Gameiro, Steven B. Haase, Hugh Haddox:
Hyperparameter Optimization of Topological Features for Machine Learning Applications. ICMLA 2019: 1107-1114 - 2018
- [j8]William J. Allen, Refaat E. Gabr, Getaneh B. Tefera, Amol S. Pednekar, Matthew W. Vaughn, Ponnada A. Narayana:
Platform for Automated Real-Time High Performance Analytics on Medical Image Data. IEEE J. Biomed. Health Informatics 22(2): 318-324 (2018) - [c10]Joe Stubbs, Matthew Vaughn, Julia Looney:
Rapid Development of Scalable, Distributed Computation with Abaco. IWSG 2018 - 2017
- [j7]Gregory J. Zynda, Jawon Song, Lorenzo Concia, Emily E. Wear, Linda Hanley-Bowdoin, William F. Thompson, Matthew W. Vaughn:
Repliscan: a tool for classifying replication timing regions. BMC Bioinform. 18(1): 362 (2017) - [j6]Alice Allen, Cecilia R. Aragon, Christoph Becker, Jeffrey C. Carver, Andrei Chis, Benoît Combemale, Mike Croucher, Kevin Crowston, Daniel Garijo, Ashish Gehani, Carole A. Goble, Robert Haines, Robert Hirschfeld, James Howison, Kathryn D. Huff, Caroline Jay, Daniel S. Katz, Claude Kirchner, Katie Kuksenok, Ralf Lämmel, Oscar Nierstrasz, Matthew J. Turk, Rob van Nieuwpoort, Matthew Vaughn, Jurgen J. Vinju:
Engineering Academic Software (Dagstuhl Perspectives Workshop 16252). Dagstuhl Manifestos 6(1): 1-20 (2017) - 2016
- [c9]Craig A. Stewart, David Y. Hancock, Matthew Vaughn, Jeremy Fischer, Tim Cockerill, Liming Lee, Nirav C. Merchant, Therese Miller, John Michael Lowe, Daniel C. Stanzione Jr., James Taylor, Edwin Skidmore:
Jetstream: performance, early experiences, and early results. XSEDE 2016: 22:1-22:8 - 2015
- [j5]Matthew R. Hanlon, Matthew Vaughn, Stephen A. Mock, Rion Dooley, Walter Moreira, Joe Stubbs, Christopher Town, Jason R. Miller, Vivek Krishnakumar, Erik S. Ferlanti, Eleanor Pence:
Araport: an application platform for data discovery. Concurr. Comput. Pract. Exp. 27(16): 4412-4422 (2015) - [j4]Vivek Krishnakumar, Matthew R. Hanlon, Sergio Contrino, Erik S. Ferlanti, Svetlana Karamycheva, Maria Kim, Benjamin D. Rosen, Chia-Yi Cheng, Walter Moreira, Stephen A. Mock, Joseph Stubbs, Julie M. Sullivan, Konstantinos Krampis, Jason R. Miller, Gos Micklem, Matthew Vaughn, Christopher D. Town:
Araport: the Arabidopsis Information Portal. Nucleic Acids Res. 43(Database-Issue): 1003-1009 (2015) - [c8]Gregory J. Zynda, Niall Gaffney, Mehmet M. Dalkilic, Matthew W. Vaughn:
Feature frequency profiles for automatic sample identification using PySpark. PyHPC@SC 2015: 5:1-5:5 - [c7]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:
Jetstream: a self-provisioned, scalable science and engineering cloud environment. XSEDE 2015: 29:1-29:8 - 2014
- [j3]Lars Koesterke, James E. Koltes, Nathan T. Weeks, Kent F. Milfeld, Matthew W. Vaughn, James M. Reecy, Daniel Stanzione:
Discovery of biological networks using an optimized partial correlation coefficient with information theory algorithm on Stampede's Xeon and Xeon Phi processors. Concurr. Comput. Pract. Exp. 26(13): 2178-2190 (2014) - [j2]Richard D. LeDuc, Matthew Vaughn, John M. Fonner, Michael Sullivan, James G. Williams, Philip D. Blood, James Taylor, William K. Barnett:
Leveraging the national cyberinfrastructure for biomedical research. J. Am. Medical Informatics Assoc. 21(2): 195-199 (2014) - [c6]Matthew C. Cowperthwaite, James D. Carson, John M. Fonner, Oscar Jiao, Jawon Song, Matthew W. Vaughn:
The Texas Advanced Computing Center: A complete scientific discovery environment for biomedical informatics and health science research. AMIA 2014 - [c5]Matthew R. Hanlon, Matthew Vaughn, Stephen A. Mock, Rion Dooley, Walter Moreira, Joe Stubbs, Christopher Town, Jason R. Miller, Vivek Krishnakumar, Erik S. Ferlanti, Eleanor Pence:
The arabidopsis information portal: an application platform for data discovery. GCE@SC 2014: 38-41 - 2013
- [c4]Richard D. LeDuc, Thomas G. Doak, Le-Shin Wu, Philip D. Blood, Carrie L. Ganote, Matthew Vaughn:
National Center for Genome Analysis support leverages XSEDE to support life science research. XSEDE 2013: 13:1-13:7 - [c3]Lars Koesterke, Kent F. Milfeld, Matthew W. Vaughn, Daniel Stanzione, James E. Koltes, Nathan T. Weeks, James M. Reecy:
Optimizing the PCIT algorithm on stampede's Xeon and Xeon Phi processors for faster discovery of biological networks. XSEDE 2013: 14:1-14:8 - 2012
- [c2]Peter E. Bailey, Tapasya Patki, Gregory M. Striemer, Ali Akoglu, David K. Lowenthal, Peter Bradbury, Matt Vaughn, Liya Wang, Stephen Goff:
Quantitative Trait Locus Analysis Using a Partitioned Linear Model on a GPU Cluster. IPDPS Workshops 2012: 752-760 - 2011
- [c1]Lars Koesterke, Daniel Stanzione, Matthew W. Vaughn, Stephen M. Welch, Waclaw Kusnierczyk, Jinliang Yang, Cheng-Ting Yeh, Dan Nettleton, Patrick S. Schnable:
An Efficient and Scalable Implementation of SNP-Pair Interaction Testing for Genetic Association Studies. IPDPS Workshops 2011: 523-530 - 2010
- [j1]Vamsi Kundeti, Sanguthevar Rajasekaran, Hieu Dinh, Matthew Vaughn, Vishal Thapar:
Efficient parallel and out of core algorithms for constructing large bi-directed de Bruijn graphs. BMC Bioinform. 11: 560 (2010)
Coauthor Index
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