Line Pouchard

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 19

Top Topics

Graduate Education

Artificial Intelligence And Machine Learning

Open Source Software

Top Venues

Int. J. High Perform. Comput. Appl.

Publications

Ozgur Ozan Kilic, Tianle Wang, Matteo Turilli, Mikhail Titov, André Merzky, Line Pouchard, Shantenu Jha
Workflow Mini-Apps: Portable, Scalable, Tunable & Faithful Representations of Scientific Workflows. CoRR (2024)
Line Pouchard, Peter Salhofer
Introduction to the Minitrack on Trustworthy Artificial Intelligence and Machine Learning. HICSS (2024)
Line Pouchard, Kristofer G. Reyes, Francis J. Alexander, Byung-Jun Yoon
A Rigorous Uncertainty-Aware Quantification Framework Is Essential for Reproducible and Replicable Machine Learning Workflows. CoRR (2023)
Luanzheng Guo, Jay Lofstead, Jie Ren, Ignacio Laguna, Gokcen Kestor, Line Pouchard, Dossay Oryspayev, Hyeran Jeon
Understanding System Resilience for Converged Computing of Cloud, Edge, and HPC. ISC Workshops (2023)
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
Novel Proposals for FAIR, Automated, Recommendable, and Robust Workflows. WORKS@SC (2022)
Gilchan Park, Julia Rayz, Line Pouchard
Figure Descriptive Text Extraction using Ontological Representation. CoRR (2022)
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
Online data analysis and reduction: An important Co-design motif for extreme-scale computers. Int. J. High Perform. Comput. Appl. 35 (6) (2021)
Gilchan Park, Line Pouchard
Advances in scientific literature mining for interpreting materials characterization. Mach. Learn. Sci. Technol. 2 (4) (2021)
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, D. W. Kneller, A. 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, Y. 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
Supercomputer-Based Ensemble Docking Drug Discovery Pipeline with Application to Covid-19. J. Chem. Inf. Model. 60 (12) (2020)
Tom Peterka, Deborah Bard, Janine C. Bennett, E. Wes Bethel, Ron A. Oldfield, Line Pouchard, Christine Sweeney, Matthew Wolf
Priority research directions for in situ data management: Enabling scientific discovery from diverse data sources. Int. J. High Perform. Comput. Appl. 34 (4) (2020)
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
Chimbuko: A Workflow-Level Scalable Performance Trace Analysis Tool. ISAV@SC (2020)
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
Chimbuko: A Workflow-Level Scalable Performance Trace Analysis Tool. CoRR (2020)
Gilchan Park, Julia Taylor Rayz, Line Pouchard
Figure Descriptive Text Extraction Using Ontological Representation. FLAIRS Conference (2020)
Line Pouchard, Yuewei Lin, Hubertus Van Dam
Replicating Machine Learning Experiments in Materials Science. PARCO (2019)
Line Pouchard, Kerstin Kleese van Dam, Stuart I. Campbell
Experimental Data Curation at Large Instrument Facilities with Open Source Software. Int. J. Digit. Curation 14 (1) (2019)
Line Pouchard, Sterling Baldwin, Todd Elsethagen, Shantenu Jha, Bibi Raju, Eric G. Stephan, Li Tang, Kerstin Kleese van Dam
Computational reproducibility of scientific workflows at extreme scales. Int. J. High Perform. Comput. Appl. 33 (5) (2019)
Line Pouchard, Sterling Baldwin, Todd Elsethagen, Carlos Gamboa, Shantenu Jha, Bibi Raju, Eric G. Stephan, Li Tang, Kerstin Kleese van Dam
Use Cases of Computational Reproducibility for Scientific Workflows at Exascale. CoRR (2018)
Megan Sapp Nelson, Line Pouchard
A pilot "big data" education modular curriculum for engineering graduate education: Development and implementation. FIE (2017)
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
Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales. Euro-Par (2017)
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
Standing Together for Reproducibility in Large-Scale Computing: Report on reproducibility@XSEDE. CoRR (2014)
Line Pouchard, Amy Barton, Lisa Zilinski
Data narratives: Increasing scholarly value. ASIST (2014)
Jarilyn M. Hernández, Line Pouchard, Jeffrey Todd McDonald, Stacy J. Prowell
Developing a power measurement framework for cyber defense. CSIIRW (2013)
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
The Earth System Grid: Supporting the Next Generation of Climate Modeling Research CoRR (2007)
Omer F. Rana, Line Pouchard
Agent Based Semantic Grids: Research Issues and Challenges. Scalable Comput. Pract. Exp. 6 (4) (2005)
Line Pouchard, Andrew Woolf, David E. Bernholdt
Data Grid discovery and Semantic Web technologies for the earth sciences. Int. J. Digit. Libr. 5 (2) (2005)
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
The Earth System Grid: Supporting the Next Generation of Climate Modeling Research. Proc. IEEE 93 (3) (2005)
Line Pouchard, Luc Moreau, V. Tamma
First international workshop on semantic infrastructure for grid computing applications (SIGAW). CCGRID (2005)
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
An Ontology for Scientific Information in a Grid Environment: the Earth System Grid. CCGRID (2003)
Line Pouchard, David W. Walker
A Community of Agents for User Support in a Problem-Solving Environment. Agents Workshop on Infrastructure for Multi-Agent Systems (2000)
Nenad Ivezic, Thomas E. Potok, Line Pouchard
Multiagent Framework for Lean Manufacturing. IEEE Internet Comput. 3 (5) (1999)