Kshitij Mehta

Orcid: 0000-0002-9714-9981

According to our database1, Kshitij Mehta authored at least 30 papers between 2012 and 2023.

Collaborative distances:



In proceedings 
PhD thesis 


On csauthors.net:


DDStore: Distributed Data Store for Scalable Training of Graph Neural Networks on Large Atomistic Modeling Datasets.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Scalable training of graph convolutional neural networks for fast and accurate predictions of HOMO-LUMO gap in molecules.
J. Cheminformatics, 2022

The Exascale Framework for High Fidelity coupled Simulations (EFFIS): Enabling whole device modeling in fusion science.
Int. J. High Perform. Comput. Appl., 2022

A codesign framework for online data analysis and reduction.
Concurr. Comput. Pract. Exp., 2022

Computational Workflow for Accelerated Molecular Design Using Quantum Chemical Simulations and Deep Learning Models.
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.
Proceedings of the 18th IEEE International Conference on e-Science, 2022

Online data analysis and reduction: An important Co-design motif for extreme-scale computers.
Int. J. High Perform. Comput. Appl., 2021

Campaign Knowledge Network: Building Knowledge for Campaign Efficiency.
CoRR, 2021

Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development.
CoRR, 2021

Workflows Community Summit: Bringing the Scientific Workflows Community Together.
CoRR, 2021

DYFLOW: A flexible framework for orchestrating scientific workflows on supercomputers.
Proceedings of the ICPP Workshops 2021: 50th International Conference on Parallel Processing, 2021

Towards System for Knowledge Representation of Campaign Experimentation.
Proceedings of the 17th IEEE International Conference on eScience, 2021

Reusability First: Toward FAIR Workflows.
Proceedings of the IEEE International Conference on Cluster Computing, 2021

ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management.
SoftwareX, 2020

Extending the Publish/Subscribe Abstraction for High-Performance I/O and Data Management at Extreme Scale.
IEEE Data Eng. Bull., 2020

Visualization as a Service for Scientific Data.
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.
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.
Proceedings of the ICPP Workshops '20: Workshops, Edmonton, AB, Canada, August 17-20, 2020, 2020

A Codesign Framework for Online Data Analysis and Reduction.
Proceedings of the 2019 IEEE/ACM Workflows in Support of Large-Scale Science, 2019

A Vision for Managing Extreme-Scale Data Hoards.
Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

In Situ Analysis and Visualization of Fusion Simulations: Lessons Learned.
Proceedings of the High Performance Computing, 2018

A View from ORNL: Scientific Data Research Opportunities in the Big Data Age.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

One-Way Wave Equation Migration at Scale on GPUs Using Directive Based Programming.
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium, 2017

Exacution: Enhancing Scientific Data Management for Exascale.
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.
Proceedings of the Euro-Par 2017: Parallel Processing - 23rd International Conference on Parallel and Distributed Computing, Santiago de Compostela, Spain, August 28, 2017

Multi-Threaded Parallel I/O for OpenMP Applications.
Int. J. Parallel Program., 2015

A Plugin for HDF5 Using PLFS for Improved I/O Performance and Semantic Analysis.
Proceedings of the 2012 SC Companion: High Performance Computing, 2012

Specification and Performance Evaluation of Parallel I/O Interfaces for OpenMP.
Proceedings of the OpenMP in a Heterogeneous World - 8th International Workshop on OpenMP, 2012