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ORCIDSudip K. Seal
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2020 – today
- 2024
[c18]Srikanth B. Yoginath, Pratishtha Shukla, Sudip K. Seal, James J. Nutaro:
Simulation Cloning for Digital Twins: A Scalable Approach. ANNSIM 2024: 1-13- 2023
- [c17]Ramakrishnan Kannan, Cristina Garcia-Cardona
, Balasubramaniam Radhakrishnan, Sudip K. Seal:
A Deep Learning Pipeline for Optimizing Large-scale Phase Field Simulations. IEEE Big Data 2023: 1744-1753 - [c16]Tianle Wang, Sudip K. Seal, Ramakrishnan Kannan, Cristina Garcia-Cardona, Thomas Proffen, Shantenu Jha:
A Parallel Machine Learning Workflow for Neutron Scattering Data Analysis. IPDPS Workshops 2023: 795-798 - 2021
- [j6]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 Ramakrishnaiah, 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:
Co-design Center for Exascale Machine Learning Technologies (ExaLearn). Int. J. High Perform. Comput. Appl. 35(6): 598-616 (2021) - 2020
- [c15]Cristina Garcia-Cardona, Ramakrishnan Kannan, Travis Johnston, Thomas Proffen, Sudip K. Seal:
Structure Prediction from Neutron Scattering Profiles: A Data Sciences Approach. IEEE BigData 2020: 1147-1155 - [c14]Sudip K. Seal, Seung-Hwan Lim, Dali Wang, Jacob D. Hinkle, Dalton D. Lunga, Aristeidis Tsaris:
Toward Large-Scale Image Segmentation on Summit. ICPP 2020: 27:1-27:11
2010 – 2019
- 2019
- [c13]Cristina Garcia-Cardona, Ramakrishnan Kannan, Travis Johnston, Thomas Proffen, Katharine Page, Sudip K. Seal:
Learning to Predict Material Structure from Neutron Scattering Data. IEEE BigData 2019: 4490-4497 - 2018
- [c12]Hao Lu, Sudip K. Seal, Jonathan D. Poplawsky:
Scalable Proximity-Based Methods for Large-Scale Analysis of Atom Probe Data. HiPC 2018: 235-244 - [c11]Hao Lu, Sudip K. Seal, Gregory Muzyn, Wei Guo, Jonathan D. Poplawsky:
Efficient, Parallel At-scale Correlation Analysis for Atom Probe Tomography on Hybrid Architectures. IPDPS 2018: 54-63 - 2017
- [c10]Sudip K. Seal, Mark R. Cianciosa, Steven P. Hirshman, Andreas Wingen, Robert S. Wilcox, Ezekial A. Unterberg:
Parallel Reconstruction of Three Dimensional Magnetohydrodynamic Equilibria in Plasma Confinement Devices. ICPP 2017: 282-291 - [c9]Hao Lu, Sudip K. Seal, Wei Guo, John Poplawsky:
Spherical Region Queries on Multicore Architectures. IA3@SC 2017: 9:1-9:4 - 2016
- [c8]Sudip K. Seal, Steven P. Hirshman, Andreas Wingen, Robert S. Wilcox, Mark R. Cianciosa, Ezekial A. Unterberg:
PARVMEC: An Efficient, Scalable Implementation of the Variational Moments Equilibrium Code. ICPP 2016: 618-627 - [c7]James J. Nutaro, Sudip K. Seal, David Sulfredge:
A novel scalable model for simulating explosive blast propagation. WSC 2016: 3052-3062 - 2014
- [c6]Sudip K. Seal:
An Accelerated Recursive Doubling Algorithm for Block Tridiagonal Systems. IPDPS 2014: 1019-1028 - [c5]Sudip K. Seal, Srikanth B. Yoginath, Michael K. Miller:
Nanoscale Cluster Detection in Massive Atom Probe Tomography Data. IPDPS Workshops 2014: 1179-1188 - 2013
- [j5]Sudip K. Seal, Kalyan S. Perumalla, Steven P. Hirshman:
Scaling the SIESTA magnetohydrodynamics equilibrium code. Concurr. Comput. Pract. Exp. 25(15): 2207-2223 (2013) - [j4]Sudip K. Seal, Kalyan S. Perumalla, Steven P. Hirshman:
Revisiting parallel cyclic reduction and parallel prefix-based algorithms for block tridiagonal systems of equations. J. Parallel Distributed Comput. 73(2): 273-280 (2013) - 2012
- [j3]Kalyan S. Perumalla, Brandon G. Aaby, Srikanth B. Yoginath, Sudip K. Seal:
Interactive, graphical processing unit-based evaluation of evacuation scenarios at the state scale. Simul. 88(6): 746-761 (2012) - [j2]Kalyan S. Perumalla, Sudip K. Seal:
Discrete event modeling and massively parallel execution of epidemic outbreak phenomena. Simul. 88(7): 768-783 (2012) - 2011
- [j1]Sudip K. Seal, Kalyan S. Perumalla:
Reversible Parallel Discrete Event Formulation of a TLM-Based Radio Signal Propagation Model. ACM Trans. Model. Comput. Simul. 22(1): 4:1-4:23 (2011) - 2010
- [c4]Kalyan S. Perumalla, Sudip K. Seal:
Reversible Parallel Discrete-Event Execution of Large-Scale Epidemic Outbreak Models. PADS 2010: 106-113 - [c3]Brandon G. Aaby, Kalyan S. Perumalla, Sudip K. Seal:
Efficient simulation of agent-based models on multi-GPU and multi-core clusters. SimuTools 2010: 29
2000 – 2009
- 2009
- [c2]Sudip K. Seal, Kalyan S. Perumalla:
Scalable Parallel Execution of an Event-Based Radio Signal Propagation Model for Cluttered 3D Terrains. ICPP 2009: 534-541 - [c1]Kalyan S. Perumalla, Brandon G. Aaby, Srikanth B. Yoginath, Sudip K. Seal:
GPU-based Real-Time Execution of Vehicular Mobility Models in Large-Scale Road Network Scenarios. PADS 2009: 95-103
Coauthor Index
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