Kshitij Mehta

According to our database, Kshitij Mehta authored at least 34 papers between 2012 and 2024.

Collaborative distances:

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

2024

Scalable Training of Graph Foundation Models for Atomistic Materials Modeling: A Case Study with HydraGNN.

Massimiliano Lupo Pasini, Jong Youl Choi, Kshitij Mehta, Pei Zhang, David M. Rogers, Jonghyun Bae, Khaled Z. Ibrahim, Ashwin M. Aji, Karl W. Schulz, Jorda Polo, Prasanna Balaprakash

CoRR, 2024

Scaling Ensembles of Data-Intensive Quantum Chemical Calculations for Millions of Molecules.

Kshitij Mehta, Massimiliano Lupo Pasini, Stephan Irle, Pilsun Yoo, Frédéric Suter, Dmitry Ganyushin, Scott Klasky

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

MDLoader: A Hybrid Model-driven Data Loader for Distributed Deep Neural Networks Training.

Jonghyun Bae, Jong Youl Choi, Massimiliano Lupo Pasini, Kshitij Mehta, Khaled Z. Ibrahim

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

Automated Calibration of a Simulator of MPI Application Executions.

Yick Ching Wong, Frédéric Suter, Kshitij Mehta, Henri Casanova, Jesse McDonald

Proceedings of the 20th IEEE International Conference on e-Science, 2024

2023

DDStore: Distributed Data Store for Scalable Training of Graph Neural Networks on Large Atomistic Modeling Datasets.

Jong Youl Choi, Massimiliano Lupo Pasini, Pei Zhang, Kshitij Mehta, Frank Liu, Jonghyun Bae, Khaled Ibrahim

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

2022

Scalable training of graph convolutional neural networks for fast and accurate predictions of HOMO-LUMO gap in molecules.

Jong Youl Choi, Pei Zhang, Kshitij Mehta, Andrew E. Blanchard, Massimiliano Lupo Pasini

J. Cheminformatics, 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

Computational Workflow for Accelerated Molecular Design Using Quantum Chemical Simulations and Deep Learning Models.

Andrew E. Blanchard, Pei Zhang, Debsindhu Bhowmik, Kshitij Mehta, John Gounley, Samuel Temple Reeve, Stephan Irle, Massimiliano Lupo Pasini

Proceedings of the Accelerating Science and Engineering Discoveries Through Integrated Research Infrastructure for Experiment, Big Data, Modeling and Simulation, 2022

Running Ensemble Workflows at Extreme Scale: Lessons Learned and Path Forward.

Kshitij Mehta, Ashley Cliff, Frédéric Suter, Angelica M. Walker, Matthew Wolf, Daniel A. Jacobson, Scott Klasky

Proceedings of the 18th IEEE International Conference on e-Science, 2022

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

Campaign Knowledge Network: Building Knowledge for Campaign Efficiency.

Sachith Withana, Kshitij Mehta, Matthew Wolf, Beth Plale

CoRR, 2021

Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development.

Rafael Ferreira da Silva, Henri Casanova, Kyle Chard, Tainã Coleman, Dan Laney, Dong H. Ahn, Shantenu Jha, Dorran Howell, Stian Soiland-Reyes, Ilkay Altintas, Douglas Thain, Rosa Filgueira, Yadu N. Babuji, Rosa M. Badia, Bartosz Balis, Silvina Caíno-Lores, Scott Callaghan, Frederik Coppens, Michael R. Crusoe, Kaushik De, Frank Di Natale, Tu Mai Anh Do, Bjoern Enders, Thomas Fahringer, Anne Fouilloux, Grigori Fursin, Alban Gaignard, Alex Ganose, Daniel Garijo, Sandra Gesing, Carole A. Goble, Adil Hasan, Sebastiaan Huber, Daniel S. Katz, Ulf Leser, Douglas Lowe, Bertram Ludäscher, Ketan Maheshwari, Maciej Malawski, Rajiv Mayani, Kshitij Mehta, André Merzky, Todd S. Munson, Jonathan Ozik, Loïc Pottier, Sashko Ristov, Mehdi Roozmeh, Renan Souza, Frédéric Suter, Benjamín Tovar, Matteo Turilli, Karan Vahi, Alvaro Vidal-Torreira, Wendy R. Whitcup, Michael Wilde, Alan R. Williams, Matthew Wolf, Justin M. Wozniak

CoRR, 2021

Workflows Community Summit: Bringing the Scientific Workflows Community Together.

Rafael Ferreira da Silva, Henri Casanova, Kyle Chard, Dan Laney, Dong H. Ahn, Shantenu Jha, Carole A. Goble, Lavanya Ramakrishnan, J. Luc Peterson, Bjoern Enders, Douglas Thain, Ilkay Altintas, Yadu N. Babuji, Rosa M. Badia, Vivien Bonazzi, Tainã Coleman, Michael R. Crusoe, Ewa Deelman, Frank Di Natale, Paolo Di Tommaso, Thomas Fahringer, Rosa Filgueira, Grigori Fursin, Alex Ganose, Björn A. Grüning, Daniel S. Katz, Olga A. Kuchar, Ana Kupresanin, Bertram Ludäscher, Ketan Maheshwari, Marta Mattoso, Kshitij Mehta, Todd S. Munson, Jonathan Ozik, Tom Peterka, Loic Pottier, Tim Randles, Stian Soiland-Reyes, Benjamín Tovar, Matteo Turilli, Thomas D. Uram, Karan Vahi, Michael Wilde, Matthew Wolf, Justin M. Wozniak

CoRR, 2021

A Community Roadmap for Scientific Workflows Research and Development.

Rafael Ferreira da Silva, Henri Casanova, Kyle Chard, Ilkay Altintas, Rosa M. Badia, Bartosz Balis, Tainã Coleman, Frederik Coppens, Frank Di Natale, Bjoern Enders, Thomas Fahringer, Rosa Filgueira, Grigori Fursin, Daniel Garijo, Carole A. Goble, Dorran Howell, Shantenu Jha, Daniel S. Katz, Daniel E. Laney, Ulf Leser, Maciej Malawski, Kshitij Mehta, Loïc Pottier, Jonathan Ozik, J. Luc Peterson, Lavanya Ramakrishnan, Stian Soiland-Reyes, Douglas Thain, Matthew Wolf

Proceedings of the 2021 IEEE Workshop on Workflows in Support of Large-Scale Science (WORKS), 2021

DYFLOW: A flexible framework for orchestrating scientific workflows on supercomputers.

Swati Singhal, Alan Sussman, Matthew Wolf, Kshitij Mehta, Jong Youl Choi

Proceedings of the ICPP Workshops 2021: 50th International Conference on Parallel Processing, 2021

Towards System for Knowledge Representation of Campaign Experimentation.

Sachith Withana, Kshitij Mehta, Matthew Wolf, Beth Plale

Proceedings of the 17th IEEE International Conference on eScience, 2021

Reusability First: Toward FAIR Workflows.

Matthew Wolf, Jeremy Logan, Kshitij Mehta, Daniel A. Jacobson, Mikaela Cashman, Angelica M. Walker, Greg Eisenhauer, Patrick M. Widener, Ashley Cliff

Proceedings of the IEEE International Conference on Cluster Computing, 2021

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

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

Data Federation Challenges in Remote Near-Real-Time Fusion Experiment Data Processing.

Jong Choi, Ruonan Wang, Randy Michael Churchill, Ralph Kube, Minjun Choi, Jinseop Park, Jeremy Logan, Kshitij Mehta, Greg Eisenhauer, Norbert Podhorszki, Matthew Wolf, Choong-Seock Chang, Scott Klasky

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

Feature-preserving Lossy Compression for In Situ Data Analysis.

Igor Yakushin, Kshitij Mehta, Jieyang Chen, Matthew Wolf, Ian T. Foster, Scott Klasky, Todd S. Munson

Proceedings of the ICPP Workshops '20: Workshops, Edmonton, AB, Canada, August 17-20, 2020, 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

A Vision for Managing Extreme-Scale Data Hoards.

Jeremy Logan, Kshitij Mehta, Gerd Heber, Scott Klasky, Tahsin M. Kurç, Norbert Podhorszki, Patrick M. Widener, Matthew Wolf

Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

2018

In Situ Analysis and Visualization of Fusion Simulations: Lessons Learned.

Mark Kim, James Kress, Jong Choi, Norbert Podhorszki, Scott Klasky, Matthew Wolf, Kshitij Mehta, Kevin A. Huck, Berk Geveci, Sujin Phillip, Robert Maynard, Hanqi Guo, Tom Peterka, Kenneth Moreland, Choong-Seock Chang, Julien Dominski, Michael Churchill, David Pugmire

Proceedings of the High Performance Computing, 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

One-Way Wave Equation Migration at Scale on GPUs Using Directive Based Programming.

Kshitij Mehta, Maxime R. Hugues, Oscar R. Hernandez, David E. Bernholdt, Henri Calandra

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium, 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

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

2015

Multi-Threaded Parallel I/O for OpenMP Applications.

Kshitij Mehta, Edgar Gabriel

Int. J. Parallel Program., 2015

2012

A Plugin for HDF5 Using PLFS for Improved I/O Performance and Semantic Analysis.

Kshitij Mehta, John Bent, Aaron Torres, Gary Grider, Edgar Gabriel

Proceedings of the 2012 SC Companion: High Performance Computing, 2012

Specification and Performance Evaluation of Parallel I/O Interfaces for OpenMP.

Kshitij Mehta, Edgar Gabriel, Barbara M. Chapman

Proceedings of the OpenMP in a Heterogeneous World - 8th International Workshop on OpenMP, 2012