Sudip K. Seal - RankMe

29 papers A 2B 8Misc 3Journal 9Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	Misc	`conf`	A Parallel Alternative for Energy-Efficient Neural Network Training and Inferencing. HiPC Sudip K. Seal, Maksudul Alam, Jorge Ramirez, Sajal Dash, Hao Lu
2025	J	`jnl`	An Active Learning-Based Streaming Pipeline for Reduced Data Training of Structure Finding Models in Neutron Diffractometry. CoRR Tianle Wang, Jorge Ramirez, Cristina Garcia-Cardona, Thomas Proffen, Shantenu Jha, Sudip K. Seal
2025	J	`jnl`	Compression-Induced Communication-Efficient Large Model Training and Inferencing. CoRR Sudip K. Seal, Maksudul Alam, Jorge Ramirez, Sajal Dash, Hao Lu
2025	J	`jnl`	Report of the 2025 Workshop on Next-Generation Ecosystems for Scientific Computing: Harnessing Community, Software, and AI for Cross-Disciplinary Team Science. CoRR Lois Curfman McInnes, Dorian Arnold, Prasanna Balaprakash, Mike Bernhardt, Beth Cerny, Anshu Dubey, Roscoe Giles, Denice Ward Hood, Mary Ann E. Leung, Vanessa Lopez-Marrero, Paul Messina, Olivia B. Newton, Chris Oehmen, Stefan M. Wild, James M. Willenbring, Lou Woodley, Tony Baylis, David E. Bernholdt, Chris Camano, Johanna Cohoon, Charles Ferenbaugh, Stephen M. Fiore, Sandra Gesing, Diego Gómez-Zará, James Howison, Tanzima Z. Islam, David Kepczynski, Charles Lively, Harshitha Menon, Bronson Messer, Marieme Ngom, Umesh Paliath, Michael E. Papka, Irene Qualters, Elaine M. Raybourn, Katherine Riley, Paulina Rodriguez, Damian W. I. Rouson, Michelle Schwalbe, Sudip K. Seal, Ozge Surer, Valerie Taylor, Lingfei Wu
2024	B	`conf`	An Active Learning-Based Streaming Pipeline for Reduced Data Training of Structure Finding Models in Neutron Diffractometry. IEEE Big Data Tianle Wang, Jorge Ramirez, Cristina Garcia-Cardona, Thomas Proffen, Shantenu Jha, Sudip K. Seal
2024	—	`conf`	Simulation Cloning for Digital Twins: A Scalable Approach. ANNSIM Srikanth B. Yoginath, Pratishtha Shukla, Sudip K. Seal, James J. Nutaro
2023	B	`conf`	A Deep Learning Pipeline for Optimizing Large-scale Phase Field Simulations. IEEE Big Data Ramakrishnan Kannan, Cristina Garcia-Cardona, Balasubramaniam Radhakrishnan, Sudip K. Seal
2023	—	`conf`	A Parallel Machine Learning Workflow for Neutron Scattering Data Analysis. IPDPS Workshops Tianle Wang, Sudip K. Seal, Ramakrishnan Kannan, Cristina Garcia-Cardona, Thomas Proffen, Shantenu Jha
2021	J	`jnl`	Co-design Center for Exascale Machine Learning Technologies (ExaLearn). Int. J. High Perform. Comput. Appl. Francis J. Alexander, James 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
2020	—	`conf`	Structure Prediction from Neutron Scattering Profiles: A Data Sciences Approach. IEEE BigData Cristina Garcia-Cardona, Ramakrishnan Kannan, Travis Johnston, Thomas Proffen, Sudip K. Seal
2020	B	`conf`	Toward Large-Scale Image Segmentation on Summit. ICPP Sudip K. Seal, Seung-Hwan Lim, Dali Wang, Jacob D. Hinkle, Dalton D. Lunga, Aristeidis Tsaris
2019	—	`conf`	Learning to Predict Material Structure from Neutron Scattering Data. IEEE BigData Cristina Garcia-Cardona, Ramakrishnan Kannan, Travis Johnston, Thomas Proffen, Katharine Page, Sudip K. Seal
2018	A	`conf`	Efficient, Parallel At-scale Correlation Analysis for Atom Probe Tomography on Hybrid Architectures. IPDPS Hao Lu, Sudip K. Seal, Gregory Muzyn, Wei Guo, Jonathan D. Poplawsky
2018	Misc	`conf`	Scalable Proximity-Based Methods for Large-Scale Analysis of Atom Probe Data. HiPC Hao Lu, Sudip K. Seal, Jonathan D. Poplawsky
2017	B	`conf`	Parallel Reconstruction of Three Dimensional Magnetohydrodynamic Equilibria in Plasma Confinement Devices. ICPP Sudip K. Seal, Mark R. Cianciosa, Steven P. Hirshman, Andreas Wingen, Robert S. Wilcox, Ezekial A. Unterberg
2017	—	`conf`	Spherical Region Queries on Multicore Architectures. IA3@SC Hao Lu, Sudip K. Seal, Wei Guo, John Poplawsky
2016	Misc	`conf`	A novel scalable model for simulating explosive blast propagation. WSC James J. Nutaro, Sudip K. Seal, David Sulfredge
2016	B	`conf`	PARVMEC: An Efficient, Scalable Implementation of the Variational Moments Equilibrium Code. ICPP Sudip K. Seal, Steven P. Hirshman, Andreas Wingen, Robert S. Wilcox, Mark R. Cianciosa, Ezekial A. Unterberg
2014	A	`conf`	An Accelerated Recursive Doubling Algorithm for Block Tridiagonal Systems. IPDPS Sudip K. Seal
2014	—	`conf`	Nanoscale Cluster Detection in Massive Atom Probe Tomography Data. IPDPS Workshops Sudip K. Seal, Srikanth B. Yoginath, Michael K. Miller
2013	J	`jnl`	Revisiting parallel cyclic reduction and parallel prefix-based algorithms for block tridiagonal systems of equations. J. Parallel Distributed Comput. Sudip K. Seal, Kalyan S. Perumalla, Steven P. Hirshman
2013	J	`jnl`	Scaling the SIESTA magnetohydrodynamics equilibrium code. Concurr. Comput. Pract. Exp. Sudip K. Seal, Kalyan S. Perumalla, Steven P. Hirshman
2012	J	`jnl`	Discrete event modeling and massively parallel execution of epidemic outbreak phenomena. Simul. Kalyan S. Perumalla, Sudip K. Seal
2012	J	`jnl`	Interactive, graphical processing unit-based evaluation of evacuation scenarios at the state scale. Simul. Kalyan S. Perumalla, Brandon G. Aaby, Srikanth B. Yoginath, Sudip K. Seal
2011	J	`jnl`	Reversible Parallel Discrete Event Formulation of a TLM-Based Radio Signal Propagation Model. ACM Trans. Model. Comput. Simul. Sudip K. Seal, Kalyan S. Perumalla
2010	—	`conf`	Efficient simulation of agent-based models on multi-GPU and multi-core clusters. SimuTools Brandon G. Aaby, Kalyan S. Perumalla, Sudip K. Seal
2010	B	`conf`	Reversible Parallel Discrete-Event Execution of Large-Scale Epidemic Outbreak Models. PADS Kalyan S. Perumalla, Sudip K. Seal
2009	B	`conf`	GPU-based Real-Time Execution of Vehicular Mobility Models in Large-Scale Road Network Scenarios. PADS Kalyan S. Perumalla, Brandon G. Aaby, Srikanth B. Yoginath, Sudip K. Seal
2009	B	`conf`	Scalable Parallel Execution of an Event-Based Radio Signal Propagation Model for Cluttered 3D Terrains. ICPP Sudip K. Seal, Kalyan S. Perumalla