Sidharth Kumar

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 42

Top Topics

Relational Algebra

Top Venues

Publications

John-Paul Robinson, Ke Fan, Steve Petruzza, Thomas Gilray, Sidharth Kumar
Investigating Data Movement Strategies for Distribution of Repartitioned Data. PEARC (2024)
Andres Sewell, Ke Fan, Ahmedur Rahman Shovon, Landon Dyken, Sidharth Kumar, Steve Petruzza
Bruck Algorithm Performance Analysis for Multi-GPU All-to-All Communication. HPC Asia (2024)
Asad Aali, Giannis Daras, Brett Levac, Sidharth Kumar, Alexandros G. Dimakis, Jonathan I. Tamir
Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models trained on Corrupted Data. CoRR (2024)
John-Paul Robinson, Ke Fan, Sidharth Kumar
Analysis of MPI Communication Time for Distribution of Repartitioned Data. HiPCW (2023)
Asad Aali, Marius Arvinte, Sidharth Kumar, Jonathan I. Tamir
Solving Inverse Problems with Score-Based Generative Priors learned from Noisy Data. ACSSC (2023)
Kashyap Balakavi, Rushitha Janga, Ahmedur Rahman Shovon, Donald M. Dempsey, Elliot J. Lefkowitz, Sidharth Kumar
Scalable, interactive and hierarchical visualization of virus taxonomic data. VAHC (2023)
Will Usher, Landon Dyken, Sidharth Kumar
Speculative Progressive Raycasting for Memory Constrained Isosurface Visualization of Massive Volumes. LDAV (2023)
Will Usher, Landon Dyken, Sidharth Kumar
Speculative Progressive Raycasting for Memory Constrained Isosurface Visualization of Massive Volumes. CoRR (2023)
Yihao Sun, Sidharth Kumar, Thomas Gilray, Kristopher K. Micinski
Communication-Avoiding Recursive Aggregation. CLUSTER (2023)
Ahmedur Rahman Shovon, Thomas Gilray, Kristopher K. Micinski, Sidharth Kumar
Towards Iterative Relational Algebra on the GPU. USENIX Annual Technical Conference (2023)
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
Using digital phenotyping to understand health-related outcomes: A scoping review. Int. J. Medical Informatics 174 (2023)
Asad Aali, Marius Arvinte, Sidharth Kumar, Jonathan I. Tamir
Solving Inverse Problems with Score-Based Generative Priors learned from Noisy Data. CoRR (2023)
Yihao Sun, Ahmedur Rahman Shovon, Thomas Gilray, Kristopher K. Micinski, Sidharth Kumar
GDlog: A GPU-Accelerated Deductive Engine. CoRR (2023)
Nick Netterville, Ke Fan, Sidharth Kumar, Thomas Gilray
A Visual Guide to MPI All-to-all. HiPCW (2022)
Ke Fan, Thomas Gilray, Valerio Pascucci, Xuan Huang, Kristopher K. Micinski, Sidharth Kumar
Optimizing the Bruck Algorithm for Non-uniform All-to-all Communication. HPDC (2022)
Brett Levac, Sidharth Kumar, Sofia Kardonik, Jonathan I. Tamir
FSE Compensated Motion Correction for MRI Using Data Driven Methods. MICCAI (6) (2022)
Ahmedur Rahman Shovon, Landon Richard Dyken, Oded Green, Thomas Gilray, Sidharth Kumar
Accelerating Datalog applications with cuDF. IA3@SC (2022)
Landon Dyken, Pravin Poudel, Will Usher, Steve Petruzza, Jake Y. Chen, Sidharth Kumar
GraphWaGu: GPU Powered Large Scale Graph Layout Computation and Rendering for the Web. EGPGV@EuroVis (2022)
Thomas Gilray, Arash Sahebolamri, Sidharth Kumar, Kristopher K. Micinski
Higher-Order, Data-Parallel Structured Deduction. CoRR (2022)
Ali Lotfi-Rezaabad, Sidharth Kumar, Sriram Vishwanath, Jonathan I. Tamir
Few-Max: Few-Shot Domain Adaptation for Unsupervised Contrastive Representation Learning. CoRR (2022)
Arkaprabha Banerjee, Pratvi Shah, Shivani Nandani, Shantanu Tyagi, Sidharth Kumar, Bhaskar Chaudhury
An Empirical Investigation of OpenMP Based Implementation of Simplex Algorithm. IWOMP (2021)
Thomas Gilray, Sidharth Kumar, Kristopher K. Micinski
Compiling data-parallel Datalog. CC (2021)
Sarthak Patel, Bhrugu Dave, Smit Kumbhani, Mihir Desai, Sidharth Kumar, Bhaskar Chaudhury
Scalable parallel algorithm for fast computation of Transitive Closure of Graphs on Shared Memory Architectures. ESPM2@SC (2021)
Ke Fan, Duong Hoang, Steve Petruzza, Thomas Gilray, Valerio Pascucci, Sidharth Kumar
Load-balancing Parallel I/O of Compressed Hierarchical Layouts. HiPC (2021)
Sidharth Kumar, Suraj Suman, Swades De
Dynamic Resource Allocation in UAV-Enabled mmWave Communication Networks. IEEE Internet Things J. 8 (12) (2021)
Will Usher, Xuan Huang, Steve Petruzza, Sidharth Kumar, Stuart R. Slattery, Sam T. Reeve, Feng Wang, Chris R. Johnson, Valerio Pascucci
Adaptive Spatially Aware I/O for Multiresolution Particle Data Layouts. IPDPS (2021)
Ke Fan, Kristopher K. Micinski, Thomas Gilray, Sidharth Kumar
Exploring MPI Collective I/O and File-per-process I/O for Checkpointing a Logical Inference Task. IPDPS Workshops (2021)
Sidharth Kumar, Thomas Gilray
Load-Balancing Parallel Relational Algebra. ISC (2020)
Sidharth Kumar, Steve Petruzza, Will Usher, Valerio Pascucci
Spatially-aware Parallel I/O for Particle Data. ICPP (2019)
Suraj Suman, Sidharth Kumar, Swades De
UAV-Assisted RFET: A Novel Framework for Sustainable WSN. IEEE Trans. Green Commun. Netw. 3 (4) (2019)
Suraj Suman, Sidharth Kumar, Swades De
Impact of Hovering Inaccuracy on UAV-Aided RFET. IEEE Commun. Lett. 23 (12) (2019)
Thomas Gilray, Sidharth Kumar
Distributed Relational Algebra at Scale. HiPC (2019)
Chi Zhang, Sidharth Kumar, Dinesh Bharadia
Capttery: Scalable Battery-like Room-level Wireless Power. MobiSys (2019)
Sidharth Kumar, Swades De, Deepak Mishra
RF Energy Transfer Channel Models for Sustainable IoT. IEEE Internet Things J. 5 (4) (2018)
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
Scalable Data Management of the Uintah Simulation Framework for Next-Generation Engineering Problems with Radiation. SCFA (2018)
Sidharth Kumar, Suraj Suman, Swades De
Backhaul and delay-aware placement of UAV-enabled base station. INFOCOM Workshops (2018)
Qi Wu, Will Usher, Steve Petruzza, Sidharth Kumar, Feng Wang, Ingo Wald, Valerio Pascucci, Charles D. Hansen
VisIt-OSPRay: Toward an Exascale Volume Visualization System. EGPGV@EuroVis (2018)
Suraj Suman, Sidharth Kumar, Swades De
UAV-Assisted RF Energy Transfer. ICC (2018)
Suraj Suman, Sidharth Kumar, Swades De
Path Loss Model for UAV-Assisted RFET. IEEE Commun. Lett. 22 (10) (2018)
Sidharth Kumar, Deepak Mishra, Swades De
An accurate channel model for optimizing effect of non-LOS component in RF energy transfer. NCC (2017)
Sidharth Kumar, Duong Hoang, Steve Petruzza, John Edwards, Valerio Pascucci
Reducing Network Congestion and Synchronization Overhead During Aggregation of Hierarchical Data. HiPC (2017)
Ivan Rodero, Manish Parashar, Aaditya G. Landge, Sidharth Kumar, Valerio Pascucci, Peer-Timo Bremer
Evaluation of In-Situ Analysis Strategies at Scale for Power Efficiency and Scalability. CCGrid (2016)
Sidharth Kumar, John Edwards, Peer-Timo Bremer, Aaron Knoll, Cameron Christensen, Venkatram Vishwanath, Philip H. Carns, John A. Schmidt, Valerio Pascucci
Efficient I/O and Storage of Adaptive-Resolution Data. SC (2014)
John Edwards, Sidharth Kumar, Valerio Pascucci
Big Data From Scientific Simulations. High Performance Computing Workshop (2014)
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
Fast Multiresolution Reads of Massive Simulation Datasets. ISC (2014)
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
Characterization and modeling of PIDX parallel I/O for performance optimization. SC (2013)
Valerio Pascucci, Peer-Timo Bremer, Attila Gyulassy, Giorgio Scorzelli, Cameron Christensen, Brian Summa, Sidharth Kumar
Scalable Visualization and Interactive Analysis Using Massive Data Streams. High Performance Computing Workshop (1) (2012)
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
Efficient data restructuring and aggregation for I/O acceleration in PIDX. SC (2012)
Sidharth Kumar, Venkatram Vishwanath, Philip H. Carns, Brian Summa, Giorgio Scorzelli, Valerio Pascucci, Robert B. Ross, Jacqueline Chen, Hemanth Kolla, Ray W. Grout
PIDX: Efficient Parallel I/O for Multi-resolution Multi-dimensional Scientific Datasets. CLUSTER (2011)