Matthew W. Vaughn

According to our database1, Matthew W. Vaughn authored at least 21 papers between 2010 and 2020.

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In proceedings 
PhD thesis 


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Integrating Jupyter into Research Computing Ecosystems: Challenges and Successes in Architecting JupyterHub for Collaborative Research Computing Ecosystems.
Proceedings of the PEARC '20: Practice and Experience in Advanced Research Computing, 2020

Jetstream - Early operations performance, adoption, and impacts.
Concurr. Comput. Pract. Exp., 2019

Hyperparameter Optimization of Topological Features for Machine Learning Applications.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Platform for Automated Real-Time High Performance Analytics on Medical Image Data.
IEEE J. Biomed. Health Informatics, 2018

Rapid Development of Scalable, Distributed Computation with Abaco.
Proceedings of the 10th International Workshop on Science Gateways, 2018

Engineering Academic Software (Dagstuhl Perspectives Workshop 16252).
Dagstuhl Manifestos, 2017

Repliscan: a tool for classifying replication timing regions.
BMC Bioinform., 2017

Jetstream: performance, early experiences, and early results.
Proceedings of the XSEDE16 Conference on Diversity, 2016

Araport: the Arabidopsis Information Portal.
Nucleic Acids Res., 2015

Araport: an application platform for data discovery.
Concurr. Comput. Pract. Exp., 2015

Jetstream: a self-provisioned, scalable science and engineering cloud environment.
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.
Proceedings of the 5th Workshop on Python for High-Performance and Scientific Computing, 2015

Leveraging the national cyberinfrastructure for biomedical research.
J. Am. Medical Informatics Assoc., 2014

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., 2014

The arabidopsis information portal: an application platform for data discovery.
Proceedings of the 9th Gateway Computing Environments Workshop, 2014

The Texas Advanced Computing Center: A complete scientific discovery environment for biomedical informatics and health science research.
Proceedings of the AMIA 2014, 2014

National Center for Genome Analysis support leverages XSEDE to support life science research.
Proceedings of the Extreme Science and Engineering Discovery Environment: Gateway to Discovery, 2013

Optimizing the PCIT algorithm on stampede's Xeon and Xeon Phi processors for faster discovery of biological networks.
Proceedings of the Extreme Science and Engineering Discovery Environment: Gateway to Discovery, 2013

Quantitative Trait Locus Analysis Using a Partitioned Linear Model on a GPU Cluster.
Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium Workshops & PhD Forum, 2012

An Efficient and Scalable Implementation of SNP-Pair Interaction Testing for Genetic Association Studies.
Proceedings of the 25th IEEE International Symposium on Parallel and Distributed Processing, 2011

Efficient parallel and out of core algorithms for constructing large bi-directed de Bruijn graphs.
BMC Bioinform., 2010