Sidharth Kumar

According to our database, Sidharth Kumar authored at least 54 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Enabling Quick, Accurate Crowdsourced Annotation for Elevation-Aware Flood Extent Mapping.

Landon Dyken, Saugat Adhikari, Pravin Poudel, Steve Petruzza, Da Yan, Will Usher, Sidharth Kumar

CoRR, 2024

Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models trained on Corrupted Data.

Asad Aali, Giannis Daras, Brett Levac, Sidharth Kumar, Alexandros G. Dimakis, Jonathan I. Tamir

CoRR, 2024

Investigating Data Movement Strategies for Distribution of Repartitioned Data.

John-Paul Robinson, Ke Fan, Steve Petruzza, Thomas Gilray, Sidharth Kumar

Proceedings of the Practice and Experience in Advanced Research Computing 2024: Human Powered Computing, 2024

Configurable Algorithms for All-to-All Collectives.

Ke Fan, Steve Petruzza, Thomas Gilray, Sidharth Kumar

Proceedings of the ISC High Performance 2024 Research Paper Proceedings (39th International Conference), 2024

TinyProf: Towards Continuous Performance Introspection through Scalable Parallel I/O.

Ke Fan, Suraj Kesavan, Steve Petruzza, Sidharth Kumar

Proceedings of the ISC High Performance 2024 Research Paper Proceedings (39th International Conference), 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

Proceedings of the 7th IEEE International Conference on Multimedia Information Processing and Retrieval, 2024

High-quality Approximation of Scientific Data using 3D Gaussian Splatting.

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

Proceedings of the 14th IEEE Symposium on Large Data Analysis and Visualization, 2024

Bruck Algorithm Performance Analysis for Multi-GPU All-to-All Communication.

Andres Sewell, Ke Fan, Ahmedur Rahman Shovon, Landon Dyken, Sidharth Kumar, Steve Petruzza

Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region, 2024

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, J. Nicholas Dionne-Odom

Int. J. Medical Informatics, June, 2023

GDlog: A GPU-Accelerated Deductive Engine.

Yihao Sun, Ahmedur Rahman Shovon, Thomas Gilray, Kristopher K. Micinski, Sidharth Kumar

CoRR, 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

Proceedings of the Workshop on Visual Analytics in Healthcare, 2023

Towards Iterative Relational Algebra on the GPU.

Ahmedur Rahman Shovon, Thomas Gilray, Kristopher K. Micinski, Sidharth Kumar

Proceedings of the 2023 USENIX Annual Technical Conference, 2023

Speculative Progressive Raycasting for Memory Constrained Isosurface Visualization of Massive Volumes.

Will Usher, Landon Dyken, Sidharth Kumar

Proceedings of the 13th IEEE Symposium on Large Data Analysis and Visualization, 2023

Analysis of MPI Communication Time for Distribution of Repartitioned Data.

John-Paul Robinson, Ke Fan, Sidharth Kumar

Proceedings of the 30th IEEE International Conference on High Performance Computing, 2023

Communication-Avoiding Recursive Aggregation.

Yihao Sun, Sidharth Kumar, Thomas Gilray, Kristopher K. Micinski

Proceedings of the IEEE International Conference on Cluster Computing, 2023

Solving Inverse Problems with Score-Based Generative Priors learned from Noisy Data.

Asad Aali, Marius Arvinte, Sidharth Kumar, Jonathan I. Tamir

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022

Higher-Order, Data-Parallel Structured Deduction.

Thomas Gilray, Arash Sahebolamri, Sidharth Kumar, Kristopher K. Micinski

CoRR, 2022

Few-Max: Few-Shot Domain Adaptation for Unsupervised Contrastive Representation Learning.

Ali Lotfi-Rezaabad, Sidharth Kumar, Sriram Vishwanath, Jonathan I. Tamir

CoRR, 2022

Accelerating Datalog applications with cuDF.

Ahmedur Rahman Shovon, Landon Richard Dyken, Oded Green, Thomas Gilray, Sidharth Kumar

Proceedings of the 12th IEEE/ACM Workshop on Irregular Applications: Architectures and Algorithms, 2022

FSE Compensated Motion Correction for MRI Using Data Driven Methods.

Brett Levac, Sidharth Kumar, Sofia Kardonik, Jonathan I. Tamir

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 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

Proceedings of the HPDC '22: The 31st International Symposium on High-Performance Parallel and Distributed Computing, Minneapolis, MN, USA, 27 June 2022, 2022

A Visual Guide to MPI All-to-all.

Nick Netterville, Ke Fan, Sidharth Kumar, Thomas Gilray

Proceedings of the 29th IEEE International Conference on High Performance Computing, 2022

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

Proceedings of the 22nd Eurographics Symposium on Parallel Graphics and Visualization, 2022

2021

Dynamic Resource Allocation in UAV-Enabled mmWave Communication Networks.

Sidharth Kumar, Suraj Suman, Swades De

IEEE Internet Things J., 2021

An Empirical Investigation of OpenMP Based Implementation of Simplex Algorithm.

Arkaprabha Banerjee, Pratvi Shah, Shivani Nandani, Shantanu Tyagi, Sidharth Kumar, Bhaskar Chaudhury

Proceedings of the OpenMP: Enabling Massive Node-Level Parallelism, 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

Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2021

Adaptive Spatially Aware I/O for Multiresolution Particle Data Layouts.

Will Usher, Xuan Huang, Steve Petruzza, Sidharth Kumar, Stuart R. Slattery, Samuel Temple Reeve, Feng Wang, Chris R. Johnson, Valerio Pascucci

Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

Load-balancing Parallel I/O of Compressed Hierarchical Layouts.

Ke Fan, Duong Hoang, Steve Petruzza, Thomas Gilray, Valerio Pascucci, Sidharth Kumar

Proceedings of the 28th IEEE International Conference on High Performance Computing, 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

Proceedings of the 6th IEEE/ACM International Workshop on Extreme Scale Programming Models and Middleware, 2021

Compiling data-parallel Datalog.

Thomas Gilray, Sidharth Kumar, Kristopher K. Micinski

Proceedings of the CC '21: 30th ACM SIGPLAN International Conference on Compiler Construction, 2021

2020

Load-Balancing Parallel Relational Algebra.

Sidharth Kumar, Thomas Gilray

Proceedings of the High Performance Computing - 35th International Conference, 2020

2019

UAV-Assisted RFET: A Novel Framework for Sustainable WSN.

Suraj Suman, Sidharth Kumar, Swades De

IEEE Trans. Green Commun. Netw., 2019

Impact of Hovering Inaccuracy on UAV-Aided RFET.

Suraj Suman, Sidharth Kumar, Swades De

IEEE Commun. Lett., 2019

Capttery: Scalable Battery-like Room-level Wireless Power.

Chi Zhang, Sidharth Kumar, Dinesh Bharadia

Proceedings of the 17th Annual International Conference on Mobile Systems, 2019

Spatially-aware Parallel I/O for Particle Data.

Sidharth Kumar, Steve Petruzza, Will Usher, Valerio Pascucci

Proceedings of the 48th International Conference on Parallel Processing, 2019

Distributed Relational Algebra at Scale.

Thomas Gilray, Sidharth Kumar

Proceedings of the 26th IEEE International Conference on High Performance Computing, 2019

2018

RF Energy Transfer Channel Models for Sustainable IoT.

Sidharth Kumar, Swades De, Deepak Mishra

IEEE Internet Things J., 2018

Path Loss Model for UAV-Assisted RFET.

Suraj Suman, Sidharth Kumar, Swades De

IEEE Commun. Lett., 2018

Scalable Data Management of the Uintah Simulation Framework for Next-Generation Engineering Problems with Radiation.

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

Proceedings of the Supercomputing Frontiers - 4th Asian Conference, 2018

Backhaul and delay-aware placement of UAV-enabled base station.

Sidharth Kumar, Suraj Suman, Swades De

Proceedings of the IEEE INFOCOM 2018, 2018

UAV-Assisted RF Energy Transfer.

Suraj Suman, Sidharth Kumar, Swades De

Proceedings of the 2018 IEEE International Conference on Communications, 2018

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

Proceedings of the 18th Eurographics Symposium on Parallel Graphics and Visualization, 2018

2017

An accurate channel model for optimizing effect of non-LOS component in RF energy transfer.

Sidharth Kumar, Deepak Mishra, Swades De

Proceedings of the Twenty-third National Conference on Communications, 2017

Reducing Network Congestion and Synchronization Overhead During Aggregation of Hierarchical Data.

Sidharth Kumar, Duong Hoang, Steve Petruzza, John Edwards, Valerio Pascucci

Proceedings of the 24th IEEE International Conference on High Performance Computing, 2017

2016

A Scalable and Tunable Adaptive Resolution Parallel I/O Framework.

Sidharth Kumar

PhD thesis, 2016

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

Proceedings of the IEEE/ACM 16th International Symposium on Cluster, 2016

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, Valerio Pascucci

Proceedings of the Supercomputing - 29th International Conference, 2014

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

Proceedings of the International Conference for High Performance Computing, 2014

Big Data From Scientific Simulations.

John Edwards, Sidharth Kumar, Valerio Pascucci

Proceedings of the Big Data and High Performance Computing, 2014

2013

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

Proceedings of the International Conference for High Performance Computing, 2013

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

Proceedings of the SC Conference on High Performance Computing Networking, 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

Proceedings of the Transition of HPC Towards Exascale Computing, 2012

The ViSUS Visualization Framework.

Valerio Pascucci, Giorgio Scorzelli, Brian Summa, Peer-Timo Bremer, Attila Gyulassy, Cameron Christensen, Sujin Philip, Sidharth Kumar

Proceedings of the High Performance Visualization, 2012

2011

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

Proceedings of the 2011 IEEE International Conference on Cluster Computing (CLUSTER), 2011