Line C. Pouchard

According to our database, Line C. Pouchard authored at least 46 papers between 1999 and 2024.

Collaborative distances:

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

2024

Workflow Mini-Apps: Portable, Scalable, Tunable & Faithful Representations of Scientific Workflows.

Ozgur Ozan Kilic, Tianle Wang, Matteo Turilli, Mikhail Titov, André Merzky, Line Pouchard, Shantenu Jha

CoRR, 2024

Introduction to the Minitrack on Trustworthy Artificial Intelligence and Machine Learning.

Line Pouchard, Peter Salhofer

Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

2023

A Rigorous Uncertainty-Aware Quantification Framework Is Essential for Reproducible and Replicable Machine Learning Workflows.

Line Pouchard, Kristofer G. Reyes, Francis J. Alexander, Byung-Jun Yoon

CoRR, 2023

FAIR Enabling Re-Use of Data-Intensive Workflows and Scientific Reproducibility.

Line C. Pouchard

Proceedings of the Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023

Understanding System Resilience for Converged Computing of Cloud, Edge, and HPC.

Luanzheng Guo, Jay F. Lofstead, Jie Ren, Ignacio Laguna, Gokcen Kestor, Line Pouchard, Dossay Oryspayev, Hyeran Jeon

Proceedings of the High Performance Computing, 2023

Building the I (Interoperability) of FAIR for Performance Reproducibility of Large-Scale Composable Workflows in RECUP.

Bogdan Nicolae, Tanzima Z. Islam, Robert B. Ross, Huub J. J. Van Dam, Kevin Assogba, Polina Shpilker, Mikhail Titov, Matteo Turilli, Tianle Wang, Ozgur O. Kilic, Shantenu Jha, Line C. Pouchard

Proceedings of the 19th IEEE International Conference on e-Science, 2023

2022

Novel Proposals for FAIR, Automated, Recommendable, and Robust Workflows.

Ishan Abhinit, Emily K. Adams, Khairul Alam, Brian Chase, Ewa Deelman, Lev Gorenstein, Stephen Hudson, Tanzima Z. Islam, Jeffrey Larson, Geoffrey Lentner, Anirban Mandal, John-Luke Navarro, Bogdan Nicolae, Line Pouchard, Robert B. Ross, Banani Roy, Mats Rynge, Alexander Serebrenik, Karan Vahi, Stefan M. Wild, Yufeng Xin, Rafael Ferreira da Silva, Rosa Filgueira

Proceedings of the IEEE/ACM Workshop on Workflows in Support of Large-Scale Science, 2022

2021

Advances in scientific literature mining for interpreting materials characterization.

Gilchan Park, Line Pouchard

Mach. Learn. Sci. Technol., 2021

Online data analysis and reduction: An important Co-design motif for extreme-scale computers.

Ian T. Foster, Mark Ainsworth, Julie Bessac, Franck Cappello, Jong Choi, Sheng Di, Zichao Wendy Di, Ali Murat Gok, Hanqi Guo, Kevin A. Huck, Christopher Kelly, Scott Klasky, Kerstin Kleese van Dam, Xin Liang, Kshitij Mehta, Manish Parashar, Tom Peterka, Line Pouchard, Tong Shu, Ozan Tugluk, Hubertus Van Dam, Lipeng Wan, Matthew Wolf, Justin M. Wozniak, Wei Xu, Igor Yakushin, Shinjae Yoo, Todd S. Munson

Int. J. High Perform. Comput. Appl., 2021

Reproducibility Practice in High-Performance Computing: Community Survey Results.

Beth A. Plale, Tanu Malik, Line C. Pouchard, Lorena A. Barba, Sandra Gesing

Comput. Sci. Eng., 2021

2020

Supercomputer-Based Ensemble Docking Drug Discovery Pipeline with Application to Covid-19.

Atanu Acharya, Rupesh Agarwal, Matthew B. Baker, Jérôme Baudry, Debsindhu Bhowmik, Swen Böhm, Kendall G. Byler, Sam Yen-Chi Chen, Leighton Coates, Connor J. Cooper, Omar Demerdash, Isabella Daidone, John D. Eblen, Sally R. Ellingson, Stefano Forli, Jens Glaser, James C. Gumbart, John Gunnels, Oscar R. Hernandez, Stephan Irle, Daniel W. Kneller, Andrey Kovalevsky, Jeffrey M. Larkin, Travis J. Lawrence, Scott LeGrand, Shih-Hsien Liu, Julie C. Mitchell, Gilchan Park, Jerry M. Parks, Anna Pavlova, Loukas Petridis, Duncan Poole, Line Pouchard, Arvind Ramanathan, David M. Rogers, Diogo Santos-Martins, Aaron Scheinberg, Ada Sedova, Yue Shen, Jeremy C. Smith, Micholas Dean Smith, Carlos Soto, Aristides Tsaris, Mathialakan Thavappiragasam, Andreas F. Tillack, Josh Vincent Vermaas, Van Quan Vuong, Junqi Yin, Shinjae Yoo, Mai Zahran, Laura Zanetti Polzi

J. Chem. Inf. Model., 2020

Priority research directions for in situ data management: Enabling scientific discovery from diverse data sources.

Tom Peterka, Deborah Bard, Janine C. Bennett, E. Wes Bethel, Ron A. Oldfield, Line Pouchard, Christine Sweeney, Matthew Wolf

Int. J. High Perform. Comput. Appl., 2020

Chimbuko: A Workflow-Level Scalable Performance Trace Analysis Tool.

Sungsoo Ha, Wonyong Jeong, Gyorgy Matyasfalvi, Cong Xie, Kevin A. Huck, Jong Youl Choi, Abid Malik, Li Tang, Hubertus Van Dam, Line Pouchard, Wei Xu, Shinjae Yoo, Nicholas D'Imperio, Kerstin Kleese van Dam

CoRR, 2020

Chimbuko: A Workflow-Level Scalable Performance Trace Analysis Tool.

Christopher Kelly, Sungsoo Ha, Kevin A. Huck, Hubertus Van Dam, Line Pouchard, Gyorgy Matyasfalvi, Li Tang, Nicholas D'Imperio, Wei Xu, Shinjae Yoo, Kerstin Kleese van Dam

Proceedings of the ISAV@SC 2020: ISAV'20 In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, 2020

Figure Descriptive Text Extraction Using Ontological Representation.

Gilchan Park, Julia Taylor Rayz, Line Pouchard

Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference, 2020

2019

Computational reproducibility of scientific workflows at extreme scales.

Line Pouchard, Sterling Baldwin, Todd Elsethagen, Shantenu Jha, Bibi Raju, Eric G. Stephan, Li Tang, Kerstin Kleese van Dam

Int. J. High Perform. Comput. Appl., 2019

Experimental Data Curation at Large Instrument Facilities with Open Source Software.

Line Pouchard, Kerstin Kleese van Dam, Stuart I. Campbell

Int. J. Digit. Curation, 2019

Replicating Machine Learning Experiments in Materials Science.

Line Pouchard, Yuewei Lin, Hubertus Van Dam

Proceedings of the Parallel Computing: Technology Trends, 2019

2018

Use Cases of Computational Reproducibility for Scientific Workflows at Exascale.

Line Pouchard, Sterling Baldwin, Todd Elsethagen, Carlos Gamboa, Shantenu Jha, Bibi Raju, Eric G. Stephan, Li Tang, Kerstin Kleese van Dam

CoRR, 2018

2017

A pilot "big data" education modular curriculum for engineering graduate education: Development and implementation.

Megan Sapp Nelson, Line Pouchard

Proceedings of the 2017 IEEE Frontiers in Education Conference, 2017

Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales.

Ian T. Foster, Mark Ainsworth, Bryce Allen, Julie Bessac, Franck Cappello, Jong Youl Choi, Emil M. Constantinescu, Philip E. Davis, Sheng Di, Zichao Wendy Di, Hanqi Guo, Scott Klasky, Kerstin Kleese van Dam, Tahsin M. Kurç, Qing Liu, Abid Malik, Kshitij Mehta, Klaus Mueller, Todd S. Munson, George Ostrouchov, Manish Parashar, Tom Peterka, Line Pouchard, Dingwen Tao, Ozan Tugluk, Stefan M. Wild, Matthew Wolf, Justin M. Wozniak, Wei Xu, Shinjae Yoo

Proceedings of the Euro-Par 2017: Parallel Processing - 23rd International Conference on Parallel and Distributed Computing, Santiago de Compostela, Spain, August 28, 2017

2016

Increasing Datasets Discoverability in an Engineering Data Platform using Keyword Extraction.

Parthasarathy Gopavarapu, Line C. Pouchard, Santiago Pujol

Proceedings of the 16th ACM/IEEE-CS on Joint Conference on Digital Libraries, 2016

2015

A generalized topic modeling approach for automatic document annotation.

Suppawong Tuarob, Line C. Pouchard, Prasenjit Mitra, C. Lee Giles

Int. J. Digit. Libr., 2015

A Linked Science Investigation: Enhancing Climate Change Data Discovery with Ontologies and Semantic Technologies.

Line C. Pouchard, Ranjeet Devarakonda, Marcia L. Branstetter, Natasha F. Noy

Proceedings of the Semantic Web in Earth and Space Science. Current Status and Future Directions, 2015

2014

SWEET ontology coverage for earth system sciences.

Nicholas DiGiuseppe, Line C. Pouchard, Natalya Fridman Noy

Earth Sci. Informatics, 2014

Standing Together for Reproducibility in Large-Scale Computing: Report on reproducibility@XSEDE.

Doug James, Nancy Wilkins-Diehr, Victoria Stodden, Dirk Colbry, Carlos Rosales, Mark R. Fahey, Justin Shi, Rafael Ferreira da Silva, Kyo Lee, Ralph Roskies, Laurence Loewe, Susan Lindsey, Rob Kooper, Lorena A. Barba, David H. Bailey, Jonathan M. Borwein, Óscar Corcho, Ewa Deelman, Michael C. Dietze, Benjamin Gilbert, Jan Harkes, Seth Keele, Praveen Kumar, Jong Lee, Erika Linke, Richard Marciano, Luigi Marini, Chris Mattmann, Dave Mattson, Kenton McHenry, Robert T. McLay, Sheila Miguez, Barbara S. Minsker, María S. Pérez-Hernández, Dan Ryan, Mats Rynge, Idafen Santana-Pérez, Mahadev Satyanarayanan, Gloriana St. Clair, Keith Webster, Eivind Hovig, Daniel S. Katz, Sophie Kay, Geir Kjetil Sandve, David Skinner, Gabrielle Allen, John Cazes, Kym Won Cho, Jim Fonseca, Lorraine J. Hwang, Lars Koesterke, Pragnesh Patel, Line Pouchard, Edward Seidel, Isuru Suriarachchi

CoRR, 2014

Semantic search integration to climate data.

Ranjeet Devarakonda, Giriprakash Palanisamy, Line C. Pouchard, Biva Shrestha

Proceedings of the 2014 International Conference on Collaboration Technologies and Systems, 2014

Data narratives: Increasing scholarly value.

Line Pouchard, Amy Barton, Lisa Zilinski

Proceedings of the Connecting Collections, Cultures, and Communities, 2014

2013

A Linked Science investigation: enhancing climate change data discovery with semantic technologies.

Line C. Pouchard, Marcia L. Branstetter, Robert B. Cook, Ranjeet Devarakonda, Jim Green, Giri Palanisamy, Paul R. Alexander, Natalya Fridman Noy

Earth Sci. Informatics, 2013

Automatic tag recommendation for metadata annotation using probabilistic topic modeling.

Suppawong Tuarob, Line C. Pouchard, C. Lee Giles

Proceedings of the 13th ACM/IEEE-CS Joint Conference on Digital Libraries, 2013

Developing a power measurement framework for cyber defense.

Jarilyn M. Hernández, Line Pouchard, Jeffrey Todd McDonald, Stacy J. Prowell

Proceedings of the Cyber Security and Information Intelligence, 2013

2012

ONEMercury: Towards Automatic Annotation of Environmental Science Metadata.

Suppawong Tuarob, Line C. Pouchard, Natasha F. Noy, Jeffery S. Horsburgh, Giri Palanisamy

Proceedings of the Second International Workshop on Linked Science 2012, 2012

2010

Collecting Sensor Data for High-Performance Computing: A Case-study.

Line C. Pouchard, Jonathan D. Dobson, Stephen W. Poole

Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 2010

2009

A Framework for the Systematic Collection of Open Source Intelligence.

Line C. Pouchard, Jonathan D. Dobson, Joseph P. Trien

Proceedings of the Technosocial Predictive Analytics, 2009

2008

Virtual Human Problem-Solving Environments.

Richard C. Ward, Line C. Pouchard, Nancy B. Munro, Sarah K. Fischer

Proceedings of the Digital Human Modeling - Trends in Human Algorithms, 2008

2007

Content Analysis for Proactive Intelligence: Marshaling Frame Evidence.

Antonio Sanfilippo, Andrew J. Cowell, Stephen Tratz, A. M. Boek, Amanda K. Cowell, Christian Posse, Line C. Pouchard

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006

The HotBox: a visual user interface to medical data.

Richard C. Ward, Line C. Pouchard, Barbara G. Beckerman, Stewart P. Dickson

Inf. Vis., 2006

A Standardised Data Model for Process and Flow Management: ISO 15531-43 - A Step Towards CE in Manufacturing -.

Anne-Françoise Cutting-Decelle, Robert I. M. Young, Jean Pierre Bourey, Jean-Jacques Michel, Line C. Pouchard

Proceedings of the Leading the Web in Concurrent Engineering. Next Generation Concurrent Engineering, 2006

Integrative Computational Frameworks for Multiscale Digital Human Modeling and Simulation.

Richard C. Ward, Line C. Pouchard, James J. Nutaro

Proceedings of the Computational Science, 2006

2005

Agent Based Semantic Grids: Research Issues and Challenges.

Omer F. Rana, Line Pouchard

Scalable Comput. Pract. Exp., 2005

The Earth System Grid: Supporting the Next Generation of Climate Modeling Research.

David E. Bernholdt, Shishir Bharathi, David Brown, Kasidit Chanchio, Meili Chen, Ann L. Chervenak, Luca Cinquini, Bob Drach, Ian T. Foster, Peter Fox, José García, Carl Kesselman, Rob S. Markel, Don Middleton, Veronika Nefedova, Line Pouchard, Arie Shoshani, Alex Sim, Gary Strand, Dean N. Williams

Proc. IEEE, 2005

Data Grid discovery and Semantic Web technologies for the earth sciences.

Line Pouchard, Andrew Woolf, David E. Bernholdt

Int. J. Digit. Libr., 2005

First international workshop on semantic infrastructure for grid computing applications (SIGAW).

Line Pouchard, Luc Moreau, V. Tamma

Proceedings of the 5th International Symposium on Cluster Computing and the Grid (CCGrid 2005), 2005

2003

An Ontology for Scientific Information in a Grid Environment: the Earth System Grid.

Line Pouchard, Luca Cinquini, Bob Drach, Don Middleton, David E. Bernholdt, Kasidit Chanchio, Ian T. Foster, Veronika Nefedova, David Brown, Peter Fox, José García, Gary Strand, Dean N. Williams, Ann L. Chervenak, Carl Kesselman, Arie Shoshani, Alex Sim

Proceedings of the 3rd IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2003), 2003

2000

A Community of Agents for User Support in a Problem-Solving Environment.

Line Pouchard, David W. Walker

Proceedings of the Infrastructure for Agents, 2000

1999

Multiagent Framework for Lean Manufacturing.

Nenad Ivezic, Thomas E. Potok, Line Pouchard

IEEE Internet Comput., 1999