Sidharth Kumar

75 papers A* 3A 8B 5C 7Misc 7Journal 22Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Accelerating Stroke MRI with Diffusion Probabilistic Models through Large-Scale Pre-training and Target-Specific Fine-Tuning. CoRR Yamin Ishraq Arefeen, Sidharth Kumar, Steven Warach, Hamidreza Saber, Jonathan I. Tamir
2026	—	`conf`	Optimizing I/O Performance of Parallel Iterated Relational Algebra Applications. CHEOPS@EuroSys Ramlah Ilyas, Sidharth Kumar, Thomas Gilray, Kristopher K. Micinski, Suren Byna
2025	B	`conf`	Accelerating Web-Based Graph Drawing with Bottom-Up GPU Quadtree Construction. PacificVis Landon Dyken, Will Usher, Steve Petruzza, Stavros Sintos, Sidharth Kumar
2025	A*	`conf`	Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models Trained on Corrupted Data. ICLR Asad Aali, Giannis Daras, Brett Levac, Sidharth Kumar, Alex Dimakis, Jonathan I. Tamir
2025	A*	`conf`	Column-Oriented Datalog on the GPU. AAAI Yihao Sun, Sidharth Kumar, Thomas Gilray, Kristopher K. Micinski
2025	J	`jnl`	Column-Oriented Datalog on the GPU. CoRR Yihao Sun, Sidharth Kumar, Thomas Gilray, Kristopher K. Micinski
2025	B	`conf`	Enabling Fast and Accurate Crowdsourced Annotation for Elevation-Aware Flood Extent Mapping. PacificVis Landon Dyken, Saugat Adhikari, Pravin Poudel, Steve Petruzza, Da Yan, Will Usher, Sidharth Kumar
2025	A*	`conf`	Faster Annotation for Elevation-Guided Flood Extent Mapping by Consistency-Enhanced Active Learning. IJCAI Saugat Adhikari, Da Yan, Tianyang Wang, Landon Dyken, Sidharth Kumar, Lyuheng Yuan, Akhlaque Ahmad, Jiao Han, Yang Zhou, Steve Petruzza
2025	J	`jnl`	Interactive Isosurface Visualization in Memory Constrained Environments Using Deep Learning and Speculative Raycasting. IEEE Trans. Vis. Comput. Graph. Landon Dyken, Will Usher, Sidharth Kumar
2025	Misc	`conf`	Machine Learning Driven Auto-Tuning for Non-Uniform All-to-All Collectives. HiPC Kunting Qi, Ke Fan, Jens Domke, Seydou Ba, Venkatram Vishwanath, Michael E. Papka, Sidharth Kumar
2025	A	`conf`	Multi-Node Multi-GPU Datalog. ICS Ahmedur Rahman Shovon, Yihao Sun, Kristopher K. Micinski, Thomas Gilray, Sidharth Kumar
2025	—	`conf`	Optimizing Datalog for the GPU. ASPLOS (1) Yihao Sun, Ahmedur Rahman Shovon, Thomas Gilray, Sidharth Kumar, Kristopher K. Micinski
2025	A	`conf`	Parameterized Algorithms for Non-uniform All-to-all. HPDC Ke Fan, Jens Domke, Seydou Ba, Sidharth Kumar
2025	J	`jnl`	Topology Assisted Clustering of Temporal fMRI Brain Networks With Use-Case in Mitigating Non-Neural Multi-Site Variability. IEEE Access Ahmedur Rahman Shovon, Sidharth Kumar, Gopikrishna Deshpande
2025	J	`jnl`	Volume Encoding Gaussians: Transfer Function-Agnostic 3D Gaussians for Volume Rendering. CoRR Landon Dyken, Andres Sewell, Will Usher, Steve Petruzza, Sidharth Kumar
2024	J	`jnl`	Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models trained on Corrupted Data. CoRR Asad Aali, Giannis Daras, Brett Levac, Sidharth Kumar, Alexandros G. Dimakis, Jonathan I. Tamir
2024	C	`conf`	Bruck Algorithm Performance Analysis for Multi-GPU All-to-All Communication. HPC Asia Andres Sewell, Ke Fan, Ahmedur Rahman Shovon, Landon Dyken, Sidharth Kumar, Steve Petruzza
2024	C	`conf`	Configurable Algorithms for All-to-All Collectives. ISC Ke Fan, Steve Petruzza, Thomas Gilray, Sidharth Kumar
2024	J	`jnl`	Configurable Non-uniform All-to-all Algorithms. CoRR Ke Fan, Jens Domke, Seydou Ba, Sidharth Kumar
2024	J	`jnl`	Datalog with First-Class Facts. CoRR Thomas Gilray, Arash Sahebolamri, Yihao Sun, Sowmith Kunapaneni, Sidharth Kumar, Kristopher K. Micinski
2024	J	`jnl`	Datalog with First-Class Facts. Proc. VLDB Endow. Thomas Gilray, Arash Sahebolamri, Yihao Sun, Sowmith Kunapaneni, Sidharth Kumar, Kristopher K. Micinski
2024	J	`jnl`	Enabling Quick, Accurate Crowdsourced Annotation for Elevation-Aware Flood Extent Mapping. CoRR Landon Dyken, Saugat Adhikari, Pravin Poudel, Steve Petruzza, Da Yan, Will Usher, Sidharth Kumar
2024	J	`jnl`	Enhancing Deep Learning-Driven Multi-Coil MRI Reconstruction via Self-Supervised Denoising. CoRR Asad Aali, Marius Arvinte, Sidharth Kumar, Yamin Ishraq Arefeen, Jonathan I. Tamir
2024	—	`conf`	GeoVQA: A Comprehensive Multimodal Geometry Dataset for Secondary Education. MIPR 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
2024	—	`conf`	High-quality Approximation of Scientific Data using 3D Gaussian Splatting. LDAV Andres Sewell, Landon Dyken, Victor A. Mateevitsi, Will Usher, Jefferson Amstutz, Thomas Marrinan, Khairi Reda, Silvio Rizzi, Joseph A. Insley, Michael E. Papka, Sidharth Kumar, Steve Petruzza
2024	—	`conf`	Investigating Data Movement Strategies for Distribution of Repartitioned Data. PEARC John-Paul Robinson, Ke Fan, Steve Petruzza, Thomas Gilray, Sidharth Kumar
2024	C	`conf`	TinyProf: Towards Continuous Performance Introspection through Scalable Parallel I/O. ISC Ke Fan, Suraj P. Kesavan, Steve Petruzza, Sidharth Kumar
2023	—	`conf`	Analysis of MPI Communication Time for Distribution of Repartitioned Data. HiPCW John-Paul Robinson, Ke Fan, Sidharth Kumar
2023	C	`conf`	Communication-Avoiding Recursive Aggregation. CLUSTER Yihao Sun, Sidharth Kumar, Thomas Gilray, Kristopher K. Micinski
2023	J	`jnl`	GDlog: A GPU-Accelerated Deductive Engine. CoRR Yihao Sun, Ahmedur Rahman Shovon, Thomas Gilray, Kristopher K. Micinski, Sidharth Kumar
2023	—	`conf`	Scalable, interactive and hierarchical visualization of virus taxonomic data. VAHC Kashyap Balakavi, Rushitha Janga, Ahmedur Rahman Shovon, Donald M. Dempsey, Elliot J. Lefkowitz, Sidharth Kumar
2023	Misc	`conf`	Solving Inverse Problems with Score-Based Generative Priors learned from Noisy Data. ACSSC Asad Aali, Marius Arvinte, Sidharth Kumar, Jonathan I. Tamir
2023	J	`jnl`	Solving Inverse Problems with Score-Based Generative Priors learned from Noisy Data. CoRR Asad Aali, Marius Arvinte, Sidharth Kumar, Jonathan I. Tamir
2023	—	`conf`	Speculative Progressive Raycasting for Memory Constrained Isosurface Visualization of Massive Volumes. LDAV Will Usher, Landon Dyken, Sidharth Kumar
2023	J	`jnl`	Speculative Progressive Raycasting for Memory Constrained Isosurface Visualization of Massive Volumes. CoRR Will Usher, Landon Dyken, Sidharth Kumar
2023	—	`conf`	Towards Iterative Relational Algebra on the GPU. USENIX ATC Ahmedur Rahman Shovon, Thomas Gilray, Kristopher K. Micinski, Sidharth Kumar
2023	J	`jnl`	Using digital phenotyping to understand health-related outcomes: A scoping review. Int. J. Medical Informatics 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, J. Nicholas Dionne-Odom
2022	—	`conf`	A Visual Guide to MPI All-to-all. HiPCW Nick Netterville, Ke Fan, Sidharth Kumar, Thomas Gilray
2022	—	`conf`	Accelerating Datalog applications with cuDF. IA3@SC Ahmedur Rahman Shovon, Landon Richard Dyken, Oded Green, Thomas Gilray, Sidharth Kumar
2022	—	`conf`	FSE Compensated Motion Correction for MRI Using Data Driven Methods. MICCAI (6) Brett Levac, Sidharth Kumar, Sofia Kardonik, Jonathan I. Tamir
2022	J	`jnl`	Few-Max: Few-Shot Domain Adaptation for Unsupervised Contrastive Representation Learning. CoRR Ali Lotfi-Rezaabad, Sidharth Kumar, Sriram Vishwanath, Jonathan I. Tamir
2022	—	`conf`	GraphWaGu: GPU Powered Large Scale Graph Layout Computation and Rendering for the Web. EGPGV@EuroVis Landon Dyken, Pravin Poudel, Will Usher, Steve Petruzza, Jake Y. Chen, Sidharth Kumar
2022	J	`jnl`	Higher-Order, Data-Parallel Structured Deduction. CoRR Thomas Gilray, Arash Sahebolamri, Sidharth Kumar, Kristopher K. Micinski
2022	A	`conf`	Optimizing the Bruck Algorithm for Non-uniform All-to-all Communication. HPDC Ke Fan, Thomas Gilray, Valerio Pascucci, Xuan Huang, Kristopher K. Micinski, Sidharth Kumar
2021	A	`conf`	Adaptive Spatially Aware I/O for Multiresolution Particle Data Layouts. IPDPS Will Usher, Xuan Huang, Steve Petruzza, Sidharth Kumar, Stuart R. Slattery, Samuel Temple Reeve, Feng Wang, Chris R. Johnson, Valerio Pascucci
2021	—	`conf`	An Empirical Investigation of OpenMP Based Implementation of Simplex Algorithm. IWOMP Arkaprabha Banerjee, Pratvi Shah, Shivani Nandani, Shantanu Tyagi, Sidharth Kumar, Bhaskar Chaudhury
2021	B	`conf`	Compiling data-parallel Datalog. CC Thomas Gilray, Sidharth Kumar, Kristopher K. Micinski
2021	J	`jnl`	Dynamic Resource Allocation in UAV-Enabled mmWave Communication Networks. IEEE Internet Things J. Sidharth Kumar, Suraj Suman, Swades De
2021	—	`conf`	Exploring MPI Collective I/O and File-per-process I/O for Checkpointing a Logical Inference Task. IPDPS Workshops Ke Fan, Kristopher K. Micinski, Thomas Gilray, Sidharth Kumar
2021	Misc	`conf`	Load-balancing Parallel I/O of Compressed Hierarchical Layouts. HiPC Ke Fan, Duong Hoang, Steve Petruzza, Thomas Gilray, Valerio Pascucci, Sidharth Kumar
2021	—	`conf`	Scalable parallel algorithm for fast computation of Transitive Closure of Graphs on Shared Memory Architectures. ESPM2@SC Sarthak Patel, Bhrugu Dave, Smit Kumbhani, Mihir Desai, Sidharth Kumar, Bhaskar Chaudhury
2020	C	`conf`	Load-Balancing Parallel Relational Algebra. ISC Sidharth Kumar, Thomas Gilray
2019	A	`conf`	Capttery: Scalable Battery-like Room-level Wireless Power. MobiSys Chi Zhang, Sidharth Kumar, Dinesh Bharadia
2019	Misc	`conf`	Distributed Relational Algebra at Scale. HiPC Thomas Gilray, Sidharth Kumar
2019	J	`jnl`	Impact of Hovering Inaccuracy on UAV-Aided RFET. IEEE Commun. Lett. Suraj Suman, Sidharth Kumar, Swades De
2019	B	`conf`	Spatially-aware Parallel I/O for Particle Data. ICPP Sidharth Kumar, Steve Petruzza, Will Usher, Valerio Pascucci
2019	J	`jnl`	UAV-Assisted RFET: A Novel Framework for Sustainable WSN. IEEE Trans. Green Commun. Netw. Suraj Suman, Sidharth Kumar, Swades De
2018	—	`conf`	Backhaul and delay-aware placement of UAV-enabled base station. INFOCOM Workshops Sidharth Kumar, Suraj Suman, Swades De
2018	J	`jnl`	Path Loss Model for UAV-Assisted RFET. IEEE Commun. Lett. Suraj Suman, Sidharth Kumar, Swades De
2018	J	`jnl`	RF Energy Transfer Channel Models for Sustainable IoT. IEEE Internet Things J. Sidharth Kumar, Swades De, Deepak Mishra
2018	—	`conf`	Scalable Data Management of the Uintah Simulation Framework for Next-Generation Engineering Problems with Radiation. SCFA Sidharth Kumar, Alan Humphrey, Will Usher, Steve Petruzza, Brad Peterson, John A. Schmidt, Derek Harris, Ben Isaac, Jeremy Thornock, Todd Harman, Valerio Pascucci, Martin Berzins
2018	—	`conf`	UAV-Assisted RF Energy Transfer. ICC Suraj Suman, Sidharth Kumar, Swades De
2018	—	`conf`	VisIt-OSPRay: Toward an Exascale Volume Visualization System. EGPGV@EuroVis Qi Wu, Will Usher, Steve Petruzza, Sidharth Kumar, Feng Wang, Ingo Wald, Valerio Pascucci, Charles D. Hansen
2017	—	`conf`	An accurate channel model for optimizing effect of non-LOS component in RF energy transfer. NCC Sidharth Kumar, Deepak Mishra, Swades De
2017	Misc	`conf`	Reducing Network Congestion and Synchronization Overhead During Aggregation of Hierarchical Data. HiPC Sidharth Kumar, Duong Hoang, Steve Petruzza, John Edwards, Valerio Pascucci
2016	—	`—`	A Scalable and Tunable Adaptive Resolution Parallel I/O Framework. Sidharth Kumar
2016	B	`conf`	Evaluation of In-Situ Analysis Strategies at Scale for Power Efficiency and Scalability. CCGrid Ivan Rodero, Manish Parashar, Aaditya G. Landge, Sidharth Kumar, Valerio Pascucci, Peer-Timo Bremer
2014	Misc	`conf`	Big Data From Scientific Simulations. High Performance Computing Workshop John Edwards, Sidharth Kumar, Valerio Pascucci
2014	A	`conf`	Efficient I/O and Storage of Adaptive-Resolution Data. SC Sidharth Kumar, John Edwards, Peer-Timo Bremer, Aaron Knoll, Cameron Christensen, Venkatram Vishwanath, Philip H. Carns, John A. Schmidt, Valerio Pascucci
2014	C	`conf`	Fast Multiresolution Reads of Massive Simulation Datasets. ISC 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, Valerio Pascucci
2013	A	`conf`	Characterization and modeling of PIDX parallel I/O for performance optimization. SC 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, Valerio Pascucci
2012	A	`conf`	Efficient data restructuring and aggregation for I/O acceleration in PIDX. SC 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
2012	Misc	`conf`	Scalable Visualization and Interactive Analysis Using Massive Data Streams. High Performance Computing Workshop (1) Valerio Pascucci, Peer-Timo Bremer, Attila Gyulassy, Giorgio Scorzelli, Cameron Christensen, Brian Summa, Sidharth Kumar
2012	—	`ch.`	The ViSUS Visualization Framework. High Performance Visualization Valerio Pascucci, Giorgio Scorzelli, Brian Summa, Peer-Timo Bremer, Attila Gyulassy, Cameron Christensen, Sujin Philip, Sidharth Kumar
2011	C	`conf`	PIDX: Efficient Parallel I/O for Multi-resolution Multi-dimensional Scientific Datasets. CLUSTER Sidharth Kumar, Venkatram Vishwanath, Philip H. Carns, Brian Summa, Giorgio Scorzelli, Valerio Pascucci, Robert B. Ross, Jacqueline Chen, Hemanth Kolla, Ray W. Grout