Sidharth Kumar

EVL Faculty
Assistant Professor, Computer Science
Computer Science
sidharth@uic.edu

Bibliography

Dyken, L., Sewell, A., Usher, W., Debardeleben, N., Petruzza, S., Kumar, S., Volume Encoding Gaussians: Transfer Function-Agnostic 3D Gaussians for Volume Rendering, IEEE Transactions on Visualization and Computer Graphics (TVCG), PacificVis 2026, Sydney, Australia, April 20, 2026

Qi, K., Fan, K., Domke, J., Ba, S., Vishwanath, V., Papka, M.E., Kumar, S., Machine Learning Driven Auto-tuning for Non-uniform All-to-All Collectives, IEEE International Conference on High Performance Computing, Data, Analytics, and Data Science (HiPC) 2025, Hyderabad, India, December 17, 2025

Shovon, A. R., Kumar, S., Scalable Multi-Node Multi-GPU Datalog Engine with Energy-Aware Profiling, Supercomputing 2025 (SC25), St. Louis, MO, November 16, 2025

Lu, J., Dyken,L., Shilpika, Vishwanath, V., Papka, M. E.., Kumar, S., Towards a GPU-accelerated web-based graph rendering framework for large-scale protein networks, International Conference for High Performance Computing, Networking, Storage, and Analysis (SC '25), St. Louis, MO, November 16, 2025

Fan, K., Domke, J., Ba, S., Kumar, S., Parameterized Algorithms for Non-uniform All-to-all, In The 34th International Symposium on High-Performance Parallel and Distributed Computing (HPDC ’25), Notre Dame, IN, ACM, New York, NY, July 20, 2025

Shovon, A. R., Sun, Y., Micinski, K., Gilray, T., Kumar, S., Multi-Node Multi-GPU Datalog, 2025 International Conference on Supercomputing (ICS ’25), Salt Lake City, Utah, June 8, 2025

Guerrini, V., Fan, K., Kumar, S., EMMA: Efficient Multi-node Memory-aware AllReduce Algorithms (poster), The 12th Greater Chicago Area Systems Research Workshop (GCASR), Chicago, IL, May 8, 2025

Hulu, C. C., Kumar, S., Deshpande, G., Neurological Diseases Spectrum Mapping using Topological Data Analysis (poster), The 12th Greater Chicago Area Systems Research Workshop (GCASR), Chicago, IL, May 8, 2025

Qi, K., Fan, K., Kumar, S., Performance Characterization and Tuning of Non-uniform All-to-all Data Exchanges (poster), The 12th Greater Chicago Area Systems Research Workshop (GCASR), Chicago, IL, May 8, 2025

Lu, J., Kumar, S., Accelerating Iterative Relational Algebra Operations with WebGPU (poster), The 12th Greater Chicago Area Systems Research Workshop (GCASR), Chicago, IL, May 8, 2025

Shovon, A. R., Kumar, S., MNMGDatalog: A Scalable Multi-Node Multi-GPU Datalog Engine (poster), The 12th Greater Chicago Area Systems Research Workshop (GCASR), Chicago, IL, May 8, 2025

Dyken, L., Adhikari, S., Poudel, P., Petruzza, S., Yan, D., Usher, W., Kumar, S., Enabling Fast and Accurate Crowdsourced Annotation for Elevation-Aware Flood Extent Mapping, 2025 IEEE 18th Pacific Visualization Conference (PacificVis), Taipei, Taiwan, April 22, 2025

Dyken, L., Usher, W., Petruzza, S., Sintos, S., Kumar, S., Accelerating Web-Based Graph Drawing with Bottom-Up GPU Quadtree Construction, 2025 IEEE 18th Pacific Visualization Conference (PacificVis), Visualization Notes (Visnotes), Taipei, Taiwan, April 22, 2025

Usher, W., Dyken, L., Kumar, S., Speculative Progressive Raycasting for Memory Constrained Isosurface Visualization of Massive Volumes, 13th IEEE Symposium on Large Data Analysis and Visualization (LDAV 2023), Melbourne, Australia, October 22, 2023

Fan, K., Kumar, S., Two-phase IO Enabling Large-scale Performance Introspection (poster), SC23 The International Conference for High Performance Computing, Networking, Storage, and Analysis, Denver, CO, November 12, 1970