Sudip K. Seal

According to our database, Sudip K. Seal authored at least 23 papers between 2009 and 2023.

Collaborative distances:

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

2023

A Parallel Machine Learning Workflow for Neutron Scattering Data Analysis.

Tianle Wang, Sudip K. Seal, Ramakrishnan Kannan, Cristina Garcia-Cardona, Thomas Proffen, Shantenu Jha

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

A Deep Learning Pipeline for Optimizing Large-scale Phase Field Simulations.

Ramakrishnan Kannan, Cristina Garcia-Cardona, Balasubramaniam Radhakrishnan, Sudip K. Seal

Proceedings of the IEEE International Conference on Big Data, 2023

2021

Co-design Center for Exascale Machine Learning Technologies (ExaLearn).

Francis J. Alexander, James A. Ang, Jenna A. Bilbrey, Jan Balewski, Tiernan Casey, Ryan Chard, Jong Choi, Sutanay Choudhury, Bert J. Debusschere, Anthony M. DeGennaro, Nikoli Dryden, J. Austin Ellis, Ian T. Foster, Cristina Garcia-Cardona, Sayan Ghosh, Peter Harrington, Yunzhi Huang, Shantenu Jha, Travis Johnston, Ai Kagawa, Ramakrishnan Kannan, Neeraj Kumar, Zhengchun Liu, Naoya Maruyama, Satoshi Matsuoka, Erin McCarthy, Jamaludin Mohd-Yusof, Peter Nugent, Yosuke Oyama, Thomas Proffen, David Pugmire, Sivasankaran Rajamanickam, Vinay Ramakrishniah, Malachi Schram, Sudip K. Seal, Ganesh Sivaraman, Christine Sweeney, Li Tan, Rajeev Thakur, Brian Van Essen, Logan T. Ward, Paul M. Welch, Michael Wolf, Sotiris S. Xantheas, Kevin G. Yager, Shinjae Yoo, Byung-Jun Yoon

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

2020

Toward Large-Scale Image Segmentation on Summit.

Sudip K. Seal, Seung-Hwan Lim, Dali Wang, Jacob D. Hinkle, Dalton D. Lunga, Aristeidis Tsaris

Proceedings of the ICPP 2020: 49th International Conference on Parallel Processing, 2020

Structure Prediction from Neutron Scattering Profiles: A Data Sciences Approach.

Cristina Garcia-Cardona, Ramakrishnan Kannan, Travis Johnston, Thomas Proffen, Sudip K. Seal

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Learning to Predict Material Structure from Neutron Scattering Data.

Cristina Garcia-Cardona, Ramakrishnan Kannan, Travis Johnston, Thomas Proffen, Katharine Page, Sudip K. Seal

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Efficient, Parallel At-scale Correlation Analysis for Atom Probe Tomography on Hybrid Architectures.

Hao Lu, Sudip K. Seal, Gregory Muzyn, Wei Guo, Jonathan D. Poplawsky

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

Scalable Proximity-Based Methods for Large-Scale Analysis of Atom Probe Data.

Hao Lu, Sudip K. Seal, Jonathan D. Poplawsky

Proceedings of the 25th IEEE International Conference on High Performance Computing, 2018

2017

Spherical Region Queries on Multicore Architectures.

Hao Lu, Sudip K. Seal, Wei Guo, John Poplawsky

Proceedings of the Seventh Workshop on Irregular Applications: Architectures and Algorithms, 2017

Parallel Reconstruction of Three Dimensional Magnetohydrodynamic Equilibria in Plasma Confinement Devices.

Sudip K. Seal, Mark R. Cianciosa, Steven P. Hirshman, Andreas Wingen, Robert S. Wilcox, Ezekial A. Unterberg

Proceedings of the 46th International Conference on Parallel Processing, 2017

2016

A novel scalable model for simulating explosive blast propagation.

James J. Nutaro, Sudip K. Seal, David Sulfredge

Proceedings of the Winter Simulation Conference, 2016

PARVMEC: An Efficient, Scalable Implementation of the Variational Moments Equilibrium Code.

Sudip K. Seal, Steven P. Hirshman, Andreas Wingen, Robert S. Wilcox, Mark R. Cianciosa, Ezekial A. Unterberg

Proceedings of the 45th International Conference on Parallel Processing, 2016

2014

Nanoscale Cluster Detection in Massive Atom Probe Tomography Data.

Sudip K. Seal, Srikanth B. Yoginath, Michael K. Miller

Proceedings of the 2014 IEEE International Parallel & Distributed Processing Symposium Workshops, 2014

An Accelerated Recursive Doubling Algorithm for Block Tridiagonal Systems.

Sudip K. Seal

Proceedings of the 2014 IEEE 28th International Parallel and Distributed Processing Symposium, 2014

2013

Revisiting parallel cyclic reduction and parallel prefix-based algorithms for block tridiagonal systems of equations.

Sudip K. Seal, Kalyan S. Perumalla, Steven P. Hirshman

J. Parallel Distributed Comput., 2013

Scaling the SIESTA magnetohydrodynamics equilibrium code.

Sudip K. Seal, Kalyan S. Perumalla, Steven P. Hirshman

Concurr. Comput. Pract. Exp., 2013

2012

Discrete event modeling and massively parallel execution of epidemic outbreak phenomena.

Kalyan S. Perumalla, Sudip K. Seal

Simul., 2012

Interactive, graphical processing unit-based evaluation of evacuation scenarios at the state scale.

Kalyan S. Perumalla, Brandon G. Aaby, Srikanth B. Yoginath, Sudip K. Seal

Simul., 2012

2011

Reversible Parallel Discrete Event Formulation of a TLM-Based Radio Signal Propagation Model.

Sudip K. Seal, Kalyan S. Perumalla

ACM Trans. Model. Comput. Simul., 2011

2010

Efficient simulation of agent-based models on multi-GPU and multi-core clusters.

Brandon G. Aaby, Kalyan S. Perumalla, Sudip K. Seal

Proceedings of the 3rd International Conference on Simulation Tools and Techniques, 2010

Reversible Parallel Discrete-Event Execution of Large-Scale Epidemic Outbreak Models.

Kalyan S. Perumalla, Sudip K. Seal

Proceedings of the 24th ACM/IEEE/SCS Workshop on Principles of Advanced and Distributed Simulation, 2010

2009

GPU-based Real-Time Execution of Vehicular Mobility Models in Large-Scale Road Network Scenarios.

Kalyan S. Perumalla, Brandon G. Aaby, Srikanth B. Yoginath, Sudip K. Seal

Proceedings of the 23rd International Workshop on Principles of Advanced and Distributed Simulation, 2009

Scalable Parallel Execution of an Event-Based Radio Signal Propagation Model for Cluttered 3D Terrains.

Sudip K. Seal, Kalyan S. Perumalla

Proceedings of the ICPP 2009, 2009