Sidharth Kumar
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
30
Venues
19
Active years
2011–2025
Best venue rank
A*
Where they publish
Papers
30 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AAAI | Column-Oriented Datalog on the GPU. | Yihao Sun, Sidharth Kumar, Thomas Gilray, Kristopher K. Micinski |
| 2025 | ASPLOS | Optimizing Datalog for the GPU. | Yihao Sun, Ahmedur Rahman Shovon, Thomas Gilray, Sidharth Kumar, Kristopher K. Micinski |
| 2025 | HiPC | Machine Learning Driven Auto-Tuning for Non-Uniform All-to-All Collectives. | Kunting Qi, Ke Fan, Jens Domke, Seydou Ba, Venkatram Vishwanath, Michael E. Papka, Sidharth Kumar |
| 2025 | HPDC | Parameterized Algorithms for Non-uniform All-to-all. | Ke Fan, Jens Domke, Seydou Ba, Sidharth Kumar |
| 2025 | ICLR | 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 |
| 2025 | IJCAI | Faster Annotation for Elevation-Guided Flood Extent Mapping by Consistency-Enhanced Active Learning. | Saugat Adhikari, Da Yan, Tianyang Wang, Landon Dyken, Sidharth Kumar, Lyuheng Yuan, Akhlaque Ahmad, Jiao Han, Yang Zhou, Steve Petruzza |
| 2025 | ICS | Multi-Node Multi-GPU Datalog. | Ahmedur Rahman Shovon, Yihao Sun, Kristopher K. Micinski, Thomas Gilray, Sidharth Kumar |
| 2025 | PacificVis | Accelerating Web-Based Graph Drawing with Bottom-Up GPU Quadtree Construction. | Landon Dyken, Will Usher, Steve Petruzza, Stavros Sintos, Sidharth Kumar |
| 2025 | PacificVis | Enabling Fast and Accurate Crowdsourced Annotation for Elevation-Aware Flood Extent Mapping. | Landon Dyken, Saugat Adhikari, Pravin Poudel, Steve Petruzza, Da Yan, Will Usher, Sidharth Kumar |
| 2023 | ACSSC | Solving Inverse Problems with Score-Based Generative Priors learned from Noisy Data. | Asad Aali, Marius Arvinte, Sidharth Kumar, Jonathan I. Tamir |
| 2023 | CLUSTER | Communication-Avoiding Recursive Aggregation. | Yihao Sun, Sidharth Kumar, Thomas Gilray, Kristopher K. Micinski |
| 2023 | HiPC | Analysis of MPI Communication Time for Distribution of Repartitioned Data. | John-Paul Robinson, Ke Fan, Sidharth Kumar |
| 2023 | USENIX | Towards Iterative Relational Algebra on the GPU. | Ahmedur Rahman Shovon, Thomas Gilray, Kristopher K. Micinski, Sidharth Kumar |
| 2022 | EGPGV | GraphWaGu: GPU Powered Large Scale Graph Layout Computation and Rendering for the Web. | Landon Dyken, Pravin Poudel, Will Usher, Steve Petruzza, Jake Y. Chen, Sidharth Kumar |
| 2022 | HiPC | A Visual Guide to MPI All-to-all. | Nick Netterville, Ke Fan, Sidharth Kumar, Thomas Gilray |
| 2022 | HPDC | Optimizing the Bruck Algorithm for Non-uniform All-to-all Communication. | Ke Fan, Thomas Gilray, Valerio Pascucci, Xuan Huang, Kristopher K. Micinski, Sidharth Kumar |
| 2022 | MICCAI | FSE Compensated Motion Correction for MRI Using Data Driven Methods. | Brett Levac, Sidharth Kumar, Sofia Kardonik, Jonathan I. Tamir |
| 2021 | CC | Compiling data-parallel Datalog. | Thomas Gilray, Sidharth Kumar, Kristopher K. Micinski |
| 2021 | HiPC | Load-balancing Parallel I/O of Compressed Hierarchical Layouts. | Ke Fan, Duong Hoang, Steve Petruzza, Thomas Gilray, Valerio Pascucci, Sidharth Kumar |
| 2019 | HiPC | Distributed Relational Algebra at Scale. | Thomas Gilray, Sidharth Kumar |
| 2019 | ICPP | Spatially-aware Parallel I/O for Particle Data. | Sidharth Kumar, Steve Petruzza, Will Usher, Valerio Pascucci |
| 2019 | Mobisys | Capttery: Scalable Battery-like Room-level Wireless Power. | Chi Zhang, Sidharth Kumar, Dinesh Bharadia |
| 2018 | EGPGV | VisIt-OSPRay: Toward an Exascale Volume Visualization System. | Qi Wu, Will Usher, Steve Petruzza, Sidharth Kumar, Feng Wang, Ingo Wald, Valerio Pascucci, Charles D. Hansen |
| 2018 | INFOCOM | Backhaul and delay-aware placement of UAV-enabled base station. | Sidharth Kumar, Suraj Suman, Swades De |
| 2017 | HiPC | Reducing Network Congestion and Synchronization Overhead During Aggregation of Hierarchical Data. | Sidharth Kumar, Duong Hoang, Steve Petruzza, John Edwards, Valerio Pascucci |
| 2016 | CCGRID | 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 |
| 2014 | SC | Efficient I/O and Storage of Adaptive-Resolution Data. | Sidharth Kumar, John Edwards, Peer-Timo Bremer, Aaron Knoll, Cameron Christensen, Venkatram Vishwanath, Philip H. Carns, John A. Schmidt, Valerio Pascucci |
| 2013 | SC | 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, Valerio Pascucci |
| 2012 | SC | 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 |
| 2011 | CLUSTER | 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 |