Eric Suchyta

According to our database, Eric Suchyta authored at least 21 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Understanding the Impact of Data Staging for Coupled Scientific Workflows.

Ana Gainaru, Lipeng Wan, Ruonan Wang, Eric Suchyta, Jieyang Chen, Norbert Podhorszki, James Kress, David Pugmire, Scott Klasky

IEEE Trans. Parallel Distributed Syst., 2022

The Exascale Framework for High Fidelity coupled Simulations (EFFIS): Enabling whole device modeling in fusion science.

Eric Suchyta, Scott Klasky, Norbert Podhorszki, Matthew Wolf, Abolaji D. Adesoji, Choong-Seock Chang, Jong Choi, Philip E. Davis, Julien Dominski, Stéphane Ethier, Ian T. Foster, Kai Germaschewski, Berk Geveci, Chris Harris, Kevin A. Huck, Qing Liu, Jeremy Logan, Kshitij Mehta, Gabriele Merlo, Shirley V. Moore, Todd S. Munson, Manish Parashar, David Pugmire, Mark S. Shephard, Cameron W. Smith, Pradeep Subedi, Lipeng Wan, Ruonan Wang, Shuangxi Zhang

Int. J. High Perform. Comput. Appl., 2022

A codesign framework for online data analysis and reduction.

Kshitij Mehta, Bryce Allen, Matthew Wolf, Jeremy Logan, Eric Suchyta, Swati Singhal, Jong Youl Choi, Keichi Takahashi, Kevin A. Huck, Igor Yakushin, Alan Sussman, Todd S. Munson, Ian T. Foster, Scott Klasky

Concurr. Comput. Pract. Exp., 2022

Hybrid Analysis of Fusion Data for Online Understanding of Complex Science on Extreme Scale Computers.

Eric Suchyta, Jong Youl Choi, Seung-Hoe Ku, David Pugmire, Ana Gainaru, Kevin A. Huck, Ralph Kube, Aaron Scheinberg, Frédéric Suter, Choong-Seock Chang, Todd S. Munson, Norbert Podhorszki, Scott Klasky

Proceedings of the IEEE International Conference on Cluster Computing, 2022

2020

ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management.

William F. Godoy, Norbert Podhorszki, Ruonan Wang, Chuck Atkins, Greg Eisenhauer, Junmin Gu, Philip E. Davis, Jong Choi, Kai Germaschewski, Kevin A. Huck, Axel Huebl, Mark Kim, James Kress, Tahsin M. Kurç, Qing Liu, Jeremy Logan, Kshitij Mehta, George Ostrouchov, Manish Parashar, Franz Poeschel, David Pugmire, Eric Suchyta, Keichi Takahashi, Nick Thompson, Seiji Tsutsumi, Lipeng Wan, Matthew Wolf, Kesheng Wu, Scott Klasky

SoftwareX, 2020

Extending the Publish/Subscribe Abstraction for High-Performance I/O and Data Management at Extreme Scale.

Jeremy Logan, Mark Ainsworth, Chuck Atkins, Jieyang Chen, Jong Choi, Junmin Gu, James Kress, Greg Eisenhauer, Berk Geveci, William F. Godoy, Mark Kim, Tahsin M. Kurç, Qing Liu, Kshitij Mehta, George Ostrouchov, Norbert Podhorszki, David Pugmire, Eric Suchyta, Nicholas Thompson, Ozan Tugluk, Lipeng Wan, Ruonan Wang, Ben Whitney, Matthew Wolf, Kesheng Wu, Scott Klasky

IEEE Data Eng. Bull., 2020

A machine learning approach to galaxy properties: Joint redshift - stellar mass probability distributions with Random Forest.

Sunil Mucesh, William G. Hartley, Antonella Palmese, Ofer Lahav, L. Whiteway, A. Amon, Keith C. Bechtol, Gary M. Bernstein, Aurelio Carnero Rosell, Matias Carrasco Kind, A. Choi, K. Eckert, S. Everett, Daniel Gruen, Robert A. Gruendl, I. Harrison, E. M. Huff, Nikolay Kuropatkin, Ignacio Sevilla-Noarbe, Erin Sheldon, Brian Yanny, Michel Aguena, Sahar Allam, D. Bacon, Emmanuel Bertin, S. Bhargava, D. Brooks, Jorge Carretero, Francisco J. Castander, Christopher J. Conselice, Matteo Costanzi, Martín Crocce, Luiz Nicolaci da Costa, M. E. S. Pereira, J. DeVicente, Shantanu Desai, H. Thomas Diehl, Alex Drlica-Wagner, August E. Evrard, I. Ferrero, Brenna L. Flaugher, Pablo Fosalba, Joshua A. Frieman, Juan García-Bellido, Enrique Gaztañaga, David W. Gerdes, Julia Gschwend, G. Gutierrez, Samuel R. Hinton, Devon L. Hollowood, Klaus Honscheid, David J. James, K. Kuehn, Marcos Lima, H. Lin, Marcio A. G. Maia, Peter Melchior, Felipe Menanteau, Ramon Miquel, Robert Morgan, Francisco Paz-Chinchón, Andreas Alejandro Plazas, Eusebio Sánchez, Victor E. Scarpine, Michael S. Schubnell, Santiago Serrano, M. Smith, Eric Suchyta, Gregory G. Tarlé, D. Thomas, C. To, T. N. Varga, R. D. Wilkinson

CoRR, 2020

Machine Learning for Searching the Dark Energy Survey for Trans-Neptunian Objects.

Ben Henghes, Ofer Lahav, David W. Gerdes, E. Lin, Robert Morgan, Timothy M. C. Abbott, Michel Aguena, Sahar Allam, James Annis, Santiago Ávila, Emmanuel Bertin, David D. Brooks, David L. Burke, Aurelio Carnero Rosell, Matias Carrasco Kind, Jorge Carretero, Christopher J. Conselice, Matteo Costanzi, Luiz Nicolaci da Costa, J. DeVicente, Shantanu Desai, H. Thomas Diehl, Peter Doel, S. Everett, I. Ferrero, Joshua A. Frieman, Juan García-Bellido, Enrique Gaztañaga, Daniel Gruen, Robert A. Gruendl, Julia Gschwend, G. Gutierrez, William G. Hartley, Samuel R. Hinton, Klaus Honscheid, Ben Hoyle, David J. James, K. Kuehn, Nikolay Kuropatkin, Jennifer L. Marshall, Peter Melchior, Felipe Menanteau, Ramon Miquel, Ricardo Ogando, Antonella Palmese, Francisco Paz-Chinchón, Andreas Alejandro Plazas, Anita K. Römer, Carles Sánchez, Eusebio Sánchez, Victor E. Scarpine, Michael S. Schubnell, Santiago Serrano, M. Smith, Marcelle Soares-Santos, Eric Suchyta, Gregory G. Tarlé, C. To, R. D. Wilkinson

CoRR, 2020

Optical follow-up of gravitational wave triggers with DECam during the first two LIGO/VIRGO observing runs.

Ken Herner, James Annis, Dillon Brout, Marcelle Soares-Santos, Richard Kessler, Masao Sako, Ray F. Butler, Zoheyr Doctor, Antonella Palmese, Sahar Allam, Douglas L. Tucker, Flavia Sobreira, Brian Yanny, H. Thomas Diehl, Joshua A. Frieman, Noemi Glaeser, Alyssa Garcia, N. F. Sherman, Keith C. Bechtol, Edo Berger, Hsinyu Chen, Christopher J. Conselice, Erika R. Cook, Philip S. Cowperthwaite, Tamara M. Davis, Alex Drlica-Wagner, David A. Finley, Ryan J. Foley, Juan García-Bellido, Mandeep S. Gill, Robert A. Gruendl, Daniel E. Holz, Nikolay Kuropatkin, Huan Lin, John P. Marriner, Jennifer L. Marshall, Thomas Matheson, Eric H. Neilsen, Francisco Paz-Chinchón, Marcus Sauseda, Daniel M. Scolnic, Peter K. G. Williams, Santiago Ávila, Emmanuel Bertin, Elizabeth Buckley-Geer, David L. Burke, Aurelio Carnero Rosell, Matias Carrasco Kind, Jorge Carretero, Luiz Nicolaci da Costa, Juan de Vicente, Shantanu Desai, Peter Doel, Tim F. Eifler, Spencer W. Everett, Pablo Fosalba, Enrique Gaztañaga, David W. Gerdes, Julia Gschwend, Gaston R. Gutiérrez, William G. Hartley, Devon L. Hollowood, Klaus Honscheid, David J. James, Elisabeth Krause, Kyler W. Kuehn, Ofer Lahav, Ting S. Li, Marcos Lima, Marcio A. G. Maia, Marisa C. March, Felipe Menanteau, Ramon Miquel, Andreas Alejandro Plazas, Eusebio Sánchez, Victor E. Scarpine, Michael S. Schubnell, Santiago Serrano, Ignacio Sevilla-Noarbe, Mathew C. Smith, Eric Suchyta, Gregory G. Tarlé, William C. Wester, Yuanyuan Zhang

Astron. Comput., 2020

Visualization as a Service for Scientific Data.

David Pugmire, James Kress, Jieyang Chen, Hank Childs, Jong Choi, Dmitry Ganyushin, Berk Geveci, Mark Kim, Scott Klasky, Xin Liang, Jeremy Logan, Nicole Marsaglia, Kshitij Mehta, Norbert Podhorszki, Caitlin Ross, Eric Suchyta, Nick Thompson, Steven Walton, Lipeng Wan, Matthew Wolf

Proceedings of the Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI, 2020

Processing full-scale square kilometre array data on the summit supercomputer.

Ruonan Wang, Rodrigo Tobar, Markus Dolensky, Tao An, Andreas Wicenec, Chen Wu, Fred Dulwich, Norbert Podhorszki, Valentine Anantharaj, Eric Suchyta, Bao-qiang Lao, Scott Klasky

Proceedings of the International Conference for High Performance Computing, 2020

2019

A Codesign Framework for Online Data Analysis and Reduction.

Kshitij Mehta, Ian T. Foster, Scott Klasky, Bryce Allen, Matthew Wolf, Jeremy Logan, Eric Suchyta, Jong Choi, Keichi Takahashi, Igor Yakushin, Todd S. Munson

Proceedings of the 2019 IEEE/ACM Workflows in Support of Large-Scale Science, 2019

2018

DES science portal: Creating science-ready catalogs.

Angelo Fausti Neto, Luiz Nicolaci da Costa, Aurelio Carnero Rosell, Julia Gschwend, R. L. C. Ogando, Flavia Sobreira, Marcio A. G. Maia, Basillio X. Santiago, Rogério Rosenfeld, C. Singulani, C. Adean, L. D. P. Nunes, Riccardo Campisano, R. Brito, G. Soares, G. C. Vila-Verde, Timothy M. C. Abbott, Filipe B. Abdalla, Sahar Allam, Aurélien Benoit-Lévy, David D. Brooks, Elizabeth Buckley-Geer, Diego Capozzi, Matias Carrasco Kind, Jorge Carretero, Chris D'Andrea, Shantanu Desai, Peter Doel, Alex Drlica-Wagner, August E. Evrard, Pablo Fosalba, Juan García-Bellido, David W. Gerdes, Robert A. Gruendl, Gaston R. Gutiérrez, Klaus Honscheid, David J. James, Tesla E. Jeltema, Kyler W. Kuehn, Steve E. E. Kuhlmann, Nikolay Kuropatkin, Ofer Lahav, Marcos Lima, Jennifer L. Marshall, Peter Melchior, Felipe Menanteau, Andreas Alejandro Plazas, Eusebio Sánchez, Victor E. Scarpine, Rafe H. Schindler, Michael S. Schubnell, Ignacio Sevilla-Noarbe, Mathew C. Smith, Robert C. Smith, Eric Suchyta, Mollye E. C. Swanson, Gregory G. Tarlé, Alistair R. Walker

Astron. Comput., 2018

DES science portal: Computing photometric redshifts.

Julia Gschwend, A. Carnero Rossel, Ricardo Ogando, Angelo Fausti Neto, Marcio A. G. Maia, Luiz Nicolaci da Costa, Marcos Lima, Paulo S. S. Pellegrini, Riccardo Campisano, C. Singulani, C. Adean, Christophe O. Benoist, Michel Aguena, Matias Carrasco Kind, Tamara M. Davis, J. DeVicente, William G. Hartley, Ben Hoyle, Antonella Palmese, Iftach H. Sadeh, Timothy M. C. Abbott, Filipe B. Abdalla, Sahar Allam, James Annis, Jacobo Asorey, David D. Brooks, Josh Calcino, Daniela Carollo, Francisco J. Castander, Chris D'Andrea, Shantanu Desai, August E. Evrard, Pablo Fosalba, Joshua A. Frieman, Juan García-Bellido, Karl Glazebrook, David W. Gerdes, Robert A. Gruendl, Gaston R. Gutiérrez, Samuel R. Hinton, Devon L. Hollowood, Klaus Honscheid, Janie K. Hoormann, David J. James, Kyler W. Kuehn, Nikolay Kuropatkin, Ofer Lahav, Geraint F. Lewis, Christopher E. Lidman, Huan Lin, Edward MacAulay, Jennifer L. Marshall, Peter Melchior, Ramon Miquel, Anais Möller, Andreas Alejandro Plazas, Eusebio Sánchez, Basillio X. Santiago, Victor E. Scarpine, Rafe H. Schindler, Ignacio Sevilla-Noarbe, Mathew C. Smith, Natalia E. Sommer, Eric Suchyta, Mollye E. C. Swanson, Gregory G. Tarlé, Brad E. Tucker, Douglas L. Tucker, Syed Ashraf Uddin, Alistair R. Walker

Astron. Comput., 2018

Understanding and Modeling Lossy Compression Schemes on HPC Scientific Data.

Tao Lu, Qing Liu, Xubin He, Huizhang Luo, Eric Suchyta, Jong Choi, Norbert Podhorszki, Scott Klasky, Matthew Wolf, Tong Liu, Zhenbo Qiao

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

A View from ORNL: Scientific Data Research Opportunities in the Big Data Age.

Scott Klasky, Matthew Wolf, Mark Ainsworth, Chuck Atkins, Jong Choi, Greg Eisenhauer, Berk Geveci, William F. Godoy, Mark Kim, James Kress, Tahsin M. Kurç, Qing Liu, Jeremy Logan, Arthur B. Maccabe, Kshitij Mehta, George Ostrouchov, Manish Parashar, Norbert Podhorszki, David Pugmire, Eric Suchyta, Lipeng Wan, Ruonan Wang

Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

Coupling Exascale Multiphysics Applications: Methods and Lessons Learned.

Jong Youl Choi, Choong-Seock Chang, Julien Dominski, Scott Klasky, Gabriele Merlo, Eric Suchyta, Mark Ainsworth, Bryce Allen, Franck Cappello, Michael Churchill, Philip E. Davis, Sheng Di, Greg Eisenhauer, Stéphane Ethier, Ian T. Foster, Berk Geveci, Hanqi Guo, Kevin A. Huck, Frank Jenko, Mark Kim, James Kress, Seung-Hoe Ku, Qing Liu, Jeremy Logan, Allen D. Malony, Kshitij Mehta, Kenneth Moreland, Todd S. Munson, Manish Parashar, Tom Peterka, Norbert Podhorszki, Dave Pugmire, Ozan Tugluk, Ruonan Wang, Ben Whitney, Matthew Wolf, Chad Wood

Proceedings of the 14th IEEE International Conference on e-Science, 2018

2017

Exacution: Enhancing Scientific Data Management for Exascale.

Scott Klasky, Eric Suchyta, Mark Ainsworth, Qing Liu, Ben Whitney, Matthew Wolf, Jong Youl Choi, Ian T. Foster, Mark Kim, Jeremy Logan, Kshitij Mehta, Todd S. Munson, George Ostrouchov, Manish Parashar, Norbert Podhorszki, David Pugmire, Lipeng Wan

Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

Canopus: Enabling Extreme-Scale Data Analytics on Big HPC Storage via Progressive Refactoring.

Tao Lu, Eric Suchyta, Jong Youl Choi, Norbert Podhorszki, Scott Klasky, Qing Liu, David Pugmire, Matthew Wolf, Mark Ainsworth

Proceedings of the 9th USENIX Workshop on Hot Topics in Storage and File Systems, 2017

Canopus: A Paradigm Shift Towards Elastic Extreme-Scale Data Analytics on HPC Storage.

Tao Lu, Eric Suchyta, David Pugmire, Jong Choi, Scott Klasky, Qing Liu, Norbert Podhorszki, Mark Ainsworth, Matthew Wolf

Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

2016

Crowdsourcing quality control for Dark Energy Survey images.

Peter Melchior, Erin Sheldon, Alex Drlica-Wagner, Eli S. Rykoff, Timothy M. C. Abbott, Filipe B. Abdalla, Sahar Allam, Aurélien Benoit-Lévy, David D. Brooks, Elizabeth Buckley-Geer, Aurelio Carnero Rosell, Matias Carrasco Kind, Jorge Carretero, Martín Crocce, Chris D'Andrea, Luiz Nicolaci da Costa, Shantanu Desai, Peter Doel, August E. Evrard, David A. Finley, Brenna L. Flaugher, Joshua A. Frieman, Enrique Gaztañaga, David W. Gerdes, Daniel Gruen, Richard A. Gruendl, Klaus Honscheid, David J. James, Michael J. Jarvis, Kyler W. Kuehn, Ting S. Li, Marcio A. G. Maia, Marisa C. March, Jennifer L. Marshall, Brian Nord, Ricardo Ogando, Andreas Alejandro Plazas, Anita K. Römer, Eusebio Sánchez, Victor E. Scarpine, Ignacio Sevilla-Noarbe, Robert C. Smith, Marcelle Soares-Santos, Eric Suchyta, Mollye E. C. Swanson, Gregory G. Tarlé, Vinu Vikram, Alistair R. Walker, William C. Wester, Yuanyuan Zhang

Astron. Comput., 2016