An optimal hierarchical clustering algorithm for gene expression data. - Sudip Seal; Srikanth Komarina; Srinivas Aluru (Inf. Process. Lett., 2005)

Communication-aware Parallel Domain Decomposition using Space Filling Curves. - Sudip Seal; Srinivas Aluru (PDCS, 2006)

A Formal Analysis of Space Filling Curves for Parallel Domain Decomposition. - Srikanta Tirthapura; Sudip Seal; Srinivas Aluru (ICPP, 2006)

Spatial Domain Decomposition Methods in Parallel Scientific Computing. - Srinivas Aluru; Sudip Seal (Handbook of Parallel Computing, 2007)

Tracking Nanostructural Evolution in Alloys: Large-Scale Analysis of Atom Probe Tomography Data on Blue Gene/L. - Sudip Seal; Michael Moody; Anna Ceguerra; Simon P. Ringer; Krishna Rajan; Srinivas Aluru (ICPP, 2008)

Scalable Parallel Execution of an Event-Based Radio Signal Propagation Model for Cluttered 3D Terrains. - Sudip K. Seal; Kalyan S. Perumalla (ICPP, 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 (PADS, 2009)

Reversible Parallel Discrete-Event Execution of Large-Scale Epidemic Outbreak Models. - Kalyan S. Perumalla; Sudip K. Seal (PADS, 2010)

Efficient simulation of agent-based models on multi-GPU and multi-core clusters. - Brandon G. Aaby; Kalyan S. Perumalla; Sudip K. Seal (SimuTools, 2010)

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)

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)

Discrete event modeling and massively parallel execution of epidemic outbreak phenomena. - Kalyan S. Perumalla; Sudip K. Seal (Simul., 2012)

Scaling the SIESTA magnetohydrodynamics equilibrium code. - Sudip K. Seal; Kalyan S. Perumalla; Steven P. Hirshman (Concurr. Comput. Pract. Exp., 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)

An Accelerated Recursive Doubling Algorithm for Block Tridiagonal Systems. - Sudip K. Seal (IPDPS, 2014)

Nanoscale Cluster Detection in Massive Atom Probe Tomography Data. - Sudip K. Seal; Srikanth B. Yoginath; Michael K. Miller (IPDPS Workshops, 2014)

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 (ICPP, 2016)

A novel scalable model for simulating explosive blast propagation. - James J. Nutaro; Sudip K. Seal; David Sulfredge (WSC, 2016)

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 (ICPP, 2017)

Spherical Region Queries on Multicore Architectures. - Hao Lu 001; Sudip K. Seal; Wei Guo; John Poplawsky (IA3@SC, 2017)

Scalable Proximity-Based Methods for Large-Scale Analysis of Atom Probe Data. - Hao Lu 001; Sudip K. Seal; Jonathan D. Poplawsky (HiPC, 2018)

Efficient, Parallel At-scale Correlation Analysis for Atom Probe Tomography on Hybrid Architectures. - Hao Lu 001; Sudip K. Seal; Gregory Muzyn; Wei Guo; Jonathan D. Poplawsky (IPDPS, 2018)

Learning to Predict Material Structure from Neutron Scattering Data. - Cristina Garcia-Cardona; Ramakrishnan Kannan; Travis Johnston; Thomas Proffen; Katharine Page; Sudip K. Seal (IEEE BigData, 2019)

Structure Prediction from Neutron Scattering Profiles: A Data Sciences Approach. - Cristina Garcia-Cardona; Ramakrishnan Kannan; Travis Johnston; Thomas Proffen; Sudip K. Seal (IEEE BigData, 2020)

Toward Large-Scale Image Segmentation on Summit. - Sudip K. Seal; Seung-Hwan Lim; Dali Wang; Jacob D. Hinkle; Dalton D. Lunga; Aristeidis Tsaris (ICPP, 2020)

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 001; Sutanay Choudhury; Bert J. Debusschere; Anthony M. DeGennaro; Nikoli Dryden; J. Austin Ellis; et al. (Int. J. High Perform. Comput. Appl., 2021)

A Deep Learning Pipeline for Optimizing Large-scale Phase Field Simulations. - Ramakrishnan Kannan; Cristina Garcia-Cardona; Balasubramaniam Radhakrishnan; Sudip K. Seal (IEEE Big Data, 2023)

A Parallel Machine Learning Workflow for Neutron Scattering Data Analysis. - Tianle Wang 001; Sudip K. Seal; Ramakrishnan Kannan; Cristina Garcia-Cardona; Thomas Proffen; Shantenu Jha (IPDPS Workshops, 2023)

Simulation Cloning for Digital Twins: A Scalable Approach. - Srikanth B. Yoginath; Pratishtha Shukla; Sudip K. Seal; James J. Nutaro (ANNSIM, 2024)

An Active Learning-Based Streaming Pipeline for Reduced Data Training of Structure Finding Models in Neutron Diffractometry. - Tianle Wang 001; Jorge Ramirez; Cristina Garcia-Cardona; Thomas Proffen; Shantenu Jha; Sudip K. Seal (IEEE Big Data, 2024)

SpecSims: A Scalable Speculative Tree-based Simulation Cloning Framework for Finite Memory Machines. - Srikanth B. Yoginath; Pratishtha Shukla; James J. Nutaro; Sudip Seal (ACM Trans. Model. Comput. Simul., 2025)