PIDX: Efficient Parallel I/O for Multi-resolution Multi-dimensional Scientific Datasets. - Sidharth Kumar; Venkatram Vishwanath; Philip H. Carns; Brian Summa; Giorgio Scorzelli; Valerio Pascucci; Robert B. Ross; Jacqueline Chen; Hemanth Kolla; Ray W. Grout (CLUSTER, 2011)

The ViSUS Visualization Framework. - Valerio Pascucci; Giorgio Scorzelli; Brian Summa; Peer-Timo Bremer; Attila Gyulassy; Cameron Christensen; Sujin Philip; Sidharth Kumar (High Performance Visualization, 2012)

Scalable Visualization and Interactive Analysis Using Massive Data Streams. - Valerio Pascucci; Peer-Timo Bremer; Attila Gyulassy; Giorgio Scorzelli; Cameron Christensen; Brian Summa; Sidharth Kumar (High Performance Computing Workshop (1), 2012)

Efficient data restructuring and aggregation for I/O acceleration in PIDX. - Sidharth Kumar; Venkatram Vishwanath; Philip H. Carns; Joshua A. Levine; Robert Latham; Giorgio Scorzelli; Hemanth Kolla; Ray W. Grout; Robert B. Ross; Michael E. Papka; Jacqueline Chen; Valerio Pascucci (SC, 2012)

Characterization and modeling of PIDX parallel I/O for performance optimization. - Sidharth Kumar; Avishek Saha; Venkatram Vishwanath; Philip H. Carns; John A. Schmidt; Giorgio Scorzelli; Hemanth Kolla; Ray W. Grout; Robert Latham; Robert B. Ross; Michael E. Papka; Jacqueline Chen; et al. (SC, 2013)

Big Data From Scientific Simulations. - John Edwards 002; Sidharth Kumar; Valerio Pascucci (High Performance Computing Workshop, 2014)

Efficient I/O and Storage of Adaptive-Resolution Data. - Sidharth Kumar; John Edwards 002; Peer-Timo Bremer; Aaron Knoll; Cameron Christensen; Venkatram Vishwanath; Philip H. Carns; John A. Schmidt; Valerio Pascucci (SC, 2014)

Fast Multiresolution Reads of Massive Simulation Datasets. - Sidharth Kumar; Cameron Christensen; John A. Schmidt; Peer-Timo Bremer; Eric Brugger; Venkatram Vishwanath; Philip H. Carns; Hemanth Kolla; Ray W. Grout; Jacqueline Chen; Martin Berzins; Giorgio Scorzelli; et al. (ISC, 2014)

Evaluation of In-Situ Analysis Strategies at Scale for Power Efficiency and Scalability. - Ivan Rodero; Manish Parashar; Aaditya G. Landge; Sidharth Kumar; Valerio Pascucci; Peer-Timo Bremer (CCGrid, 2016)

A Scalable and Tunable Adaptive Resolution Parallel I/O Framework. - Sidharth Kumar (2016)

Reducing Network Congestion and Synchronization Overhead During Aggregation of Hierarchical Data. - Sidharth Kumar; Duong Hoang; Steve Petruzza; John Edwards 002; Valerio Pascucci (HiPC, 2017)

An accurate channel model for optimizing effect of non-LOS component in RF energy transfer. - Sidharth Kumar; Deepak Mishra 001; Swades De (NCC, 2017)

VisIt-OSPRay: Toward an Exascale Volume Visualization System. - Qi Wu 015; Will Usher 001; Steve Petruzza; Sidharth Kumar; Feng Wang 013; Ingo Wald; Valerio Pascucci; Charles D. Hansen (EGPGV@EuroVis, 2018)

UAV-Assisted RF Energy Transfer. - Suraj Suman; Sidharth Kumar; Swades De (ICC, 2018)

Backhaul and delay-aware placement of UAV-enabled base station. - Sidharth Kumar; Suraj Suman; Swades De (INFOCOM Workshops, 2018)

Scalable Data Management of the Uintah Simulation Framework for Next-Generation Engineering Problems with Radiation. - Sidharth Kumar; Alan Humphrey; Will Usher 001; Steve Petruzza; Brad Peterson; John A. Schmidt; Derek Harris; Ben Isaac; Jeremy Thornock; Todd Harman; Valerio Pascucci; Martin Berzins (SCFA, 2018)

Path Loss Model for UAV-Assisted RFET. - Suraj Suman; Sidharth Kumar; Swades De (IEEE Commun. Lett., 2018)

RF Energy Transfer Channel Models for Sustainable IoT. - Sidharth Kumar; Swades De; Deepak Mishra 001 (IEEE Internet Things J., 2018)

Distributed Relational Algebra at Scale. - Thomas Gilray; Sidharth Kumar (HiPC, 2019)

Spatially-aware Parallel I/O for Particle Data. - Sidharth Kumar; Steve Petruzza; Will Usher 001; Valerio Pascucci (ICPP, 2019)

Capttery: Scalable Battery-like Room-level Wireless Power. - Chi Zhang 018; Sidharth Kumar; Dinesh Bharadia (MobiSys, 2019)

Impact of Hovering Inaccuracy on UAV-Aided RFET. - Suraj Suman; Sidharth Kumar; Swades De (IEEE Commun. Lett., 2019)

UAV-Assisted RFET: A Novel Framework for Sustainable WSN. - Suraj Suman; Sidharth Kumar; Swades De (IEEE Trans. Green Commun. Netw., 2019)

Load-Balancing Parallel Relational Algebra. - Sidharth Kumar; Thomas Gilray (ISC, 2020)

Compiling data-parallel Datalog. - Thomas Gilray; Sidharth Kumar; Kristopher K. Micinski (CC, 2021)

Scalable parallel algorithm for fast computation of Transitive Closure of Graphs on Shared Memory Architectures. - Sarthak Patel; Bhrugu Dave; Smit Kumbhani; Mihir Desai; Sidharth Kumar; Bhaskar Chaudhury (ESPM2@SC, 2021)

Load-balancing Parallel I/O of Compressed Hierarchical Layouts. - Ke Fan; Duong Hoang; Steve Petruzza; Thomas Gilray; Valerio Pascucci; Sidharth Kumar (HiPC, 2021)

Adaptive Spatially Aware I/O for Multiresolution Particle Data Layouts. - Will Usher 001; Xuan Huang; Steve Petruzza; Sidharth Kumar; Stuart R. Slattery; Samuel Temple Reeve; Feng Wang 013; Chris R. Johnson 001; Valerio Pascucci (IPDPS, 2021)

Exploring MPI Collective I/O and File-per-process I/O for Checkpointing a Logical Inference Task. - Ke Fan; Kristopher K. Micinski; Thomas Gilray; Sidharth Kumar (IPDPS Workshops, 2021)

An Empirical Investigation of OpenMP Based Implementation of Simplex Algorithm. - Arkaprabha Banerjee; Pratvi Shah; Shivani Nandani; Shantanu Tyagi; Sidharth Kumar; Bhaskar Chaudhury (IWOMP, 2021)

Dynamic Resource Allocation in UAV-Enabled mmWave Communication Networks. - Sidharth Kumar; Suraj Suman; Swades De (IEEE Internet Things J., 2021)

GraphWaGu: GPU Powered Large Scale Graph Layout Computation and Rendering for the Web. - Landon Dyken; Pravin Poudel; Will Usher 001; Steve Petruzza; Jake Y. Chen; Sidharth Kumar (EGPGV@EuroVis, 2022)

A Visual Guide to MPI All-to-all. - Nick Netterville; Ke Fan; Sidharth Kumar; Thomas Gilray (HiPCW, 2022)

Optimizing the Bruck Algorithm for Non-uniform All-to-all Communication. - Ke Fan; Thomas Gilray; Valerio Pascucci; Xuan Huang; Kristopher K. Micinski; Sidharth Kumar (HPDC, 2022)

FSE Compensated Motion Correction for MRI Using Data Driven Methods. - Brett Levac; Sidharth Kumar; Sofia Kardonik; Jonathan I. Tamir (MICCAI (6), 2022)

Accelerating Datalog applications with cuDF. - Ahmedur Rahman Shovon; Landon Richard Dyken; Oded Green; Thomas Gilray; Sidharth Kumar (IA3@SC, 2022)

Few-Max: Few-Shot Domain Adaptation for Unsupervised Contrastive Representation Learning. - Ali Lotfi-Rezaabad; Sidharth Kumar; Sriram Vishwanath; Jonathan I. Tamir (CoRR, 2022)

Higher-Order, Data-Parallel Structured Deduction. - Thomas Gilray; Arash Sahebolamri; Sidharth Kumar; Kristopher K. Micinski (CoRR, 2022)

Solving Inverse Problems with Score-Based Generative Priors learned from Noisy Data. - Asad Aali; Marius Arvinte; Sidharth Kumar; Jonathan I. Tamir (ACSSC, 2023)

Communication-Avoiding Recursive Aggregation. - Yihao Sun; Sidharth Kumar; Thomas Gilray; Kristopher K. Micinski (CLUSTER, 2023)

Analysis of MPI Communication Time for Distribution of Repartitioned Data. - John-Paul Robinson; Ke Fan; Sidharth Kumar (HiPCW, 2023)

Speculative Progressive Raycasting for Memory Constrained Isosurface Visualization of Massive Volumes. - Will Usher 001; Landon Dyken; Sidharth Kumar (LDAV, 2023)

Towards Iterative Relational Algebra on the GPU. - Ahmedur Rahman Shovon; Thomas Gilray; Kristopher K. Micinski; Sidharth Kumar (USENIX ATC, 2023)

Scalable, interactive and hierarchical visualization of virus taxonomic data. - Kashyap Balakavi; Rushitha Janga; Ahmedur Rahman Shovon; Donald M. Dempsey; Elliot J. Lefkowitz; Sidharth Kumar (VAHC, 2023)

GDlog: A GPU-Accelerated Deductive Engine. - Yihao Sun; Ahmedur Rahman Shovon; Thomas Gilray; Kristopher K. Micinski; Sidharth Kumar (CoRR, 2023)

Using digital phenotyping to understand health-related outcomes: A scoping review. - Kyungmi Lee; Tim Cheongho Lee; Maria Yefimova; Sidharth Kumar; Frank Puga; Andres Azuero; Arif Kamal; Marie A. Bakitas; Alexi Wright; George Demiris; Christine S. Ritchie; Carolyn E. Z. Pickering; et al. (Int. J. Medical Informatics, 2023)

Bruck Algorithm Performance Analysis for Multi-GPU All-to-All Communication. - Andres Sewell; Ke Fan; Ahmedur Rahman Shovon; Landon Dyken; Sidharth Kumar; Steve Petruzza (HPC Asia, 2024)

High-quality Approximation of Scientific Data using 3D Gaussian Splatting. - Andres Sewell; Landon Dyken; Victor A. Mateevitsi; Will Usher 001; Jefferson Amstutz; Thomas Marrinan; Khairi Reda; Silvio Rizzi 001; Joseph A. Insley; Michael E. Papka; Sidharth Kumar; Steve Petruzza (LDAV, 2024)

GeoVQA: A Comprehensive Multimodal Geometry Dataset for Secondary Education. - Avinash Anand; Raj Jaiswal; Abhishek Dharmadhikari; Atharva Marathe; Harsh Popat; Harshil Mital; Ashwin R. Nair; Kritarth Prasad; Sidharth Kumar; Astha Verma; Rajiv Ratn Shah; Roger Zimmermann (MIPR, 2024)

TinyProf: Towards Continuous Performance Introspection through Scalable Parallel I/O. - Ke Fan; Suraj Kesavan; Steve Petruzza; Sidharth Kumar (ISC, 2024)

Configurable Algorithms for All-to-All Collectives. - Ke Fan; Steve Petruzza; Thomas Gilray; Sidharth Kumar (ISC, 2024)

Investigating Data Movement Strategies for Distribution of Repartitioned Data. - John-Paul Robinson; Ke Fan; Steve Petruzza; Thomas Gilray; Sidharth Kumar (PEARC, 2024)

Enabling Quick, Accurate Crowdsourced Annotation for Elevation-Aware Flood Extent Mapping. - Landon Dyken; Saugat Adhikari; Pravin Poudel; Steve Petruzza; Da Yan 001; Will Usher 001; Sidharth Kumar (CoRR, 2024)

Configurable Non-uniform All-to-all Algorithms. - Ke Fan; Jens Domke; Seydou Ba; Sidharth Kumar (CoRR, 2024)

Enhancing Deep Learning-Driven Multi-Coil MRI Reconstruction via Self-Supervised Denoising. - Asad Aali; Marius Arvinte; Sidharth Kumar; Yamin Ishraq Arefeen; Jonathan I. Tamir (CoRR, 2024)

Datalog with First-Class Facts. - Thomas Gilray; Arash Sahebolamri; Yihao Sun; Sowmith Kunapaneni; Sidharth Kumar; Kristopher K. Micinski (Proc. VLDB Endow., 2024)

Column-Oriented Datalog on the GPU. - Yihao Sun; Sidharth Kumar; Thomas Gilray; Kristopher K. Micinski (AAAI, 2025)

Optimizing Datalog for the GPU. - Yihao Sun; Ahmedur Rahman Shovon; Thomas Gilray; Sidharth Kumar; Kristopher K. Micinski (ASPLOS (1), 2025)

Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models Trained on Corrupted Data. - Asad Aali; Giannis Daras; Brett Levac; Sidharth Kumar; Alex Dimakis; Jonathan I. Tamir (ICLR, 2025)

Accelerating Web-Based Graph Drawing with Bottom-Up GPU Quadtree Construction. - Landon Dyken; Will Usher 001; Steve Petruzza; Stavros Sintos; Sidharth Kumar (PacificVis, 2025)

Enabling Fast and Accurate Crowdsourced Annotation for Elevation-Aware Flood Extent Mapping. - Landon Dyken; Saugat Adhikari; Pravin Poudel; Steve Petruzza; Da Yan 001; Will Usher 001; Sidharth Kumar (PacificVis, 2025)

Interactive Isosurface Visualization in Memory Constrained Environments Using Deep Learning and Speculative Raycasting. - Landon Dyken; Will Usher 001; Sidharth Kumar (IEEE Trans. Vis. Comput. Graph., 2025)

Volume Encoding Gaussians: Transfer Function-Agnostic 3D Gaussians for Volume Rendering. - Landon Dyken; Andres Sewell; Will Usher 001; Steve Petruzza; Sidharth Kumar (CoRR, 2025)