Kamesh Madduri
Associate Professor of Computer Science and Engineering
-
W312 Westgate
University Park, PA - He/Him
- kxm85@psu.edu
- 814-865-0883
Research Summary
Computational biology, algorithms, and high-performance computing.
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Data Storage Equipment Parallel Algorithms Graph In Graph Theory Decomposition Decompose Counting Servers Labels Subgraph Shared Memory Coloring Breadth First Search Small World Networks Data Structures Regression Analysis Intelligent Systems Intelligent Vehicle Highway Systems Time Series Analysis Travel Time Water Traffic Control Learning Systems Connected Component Colouring Connected ComponentsMost Recent Publications
Jet: Multilevel Graph Partitioning on Graphics Processing Units
Michael Gilbert, Kamesh Madduri, Erik Boman, Sivasankaran Rajamanickam, 2024, SIAM Journal on Scientific Computing
Jet: Multilevel Graph Partitioning on Graphics Processing Units
Michael Gilbert, Kamesh Madduri, Erik Boman, Sivasankaran Rajamanickam, 2023,
Exploiting Parallelism in Extreme Multi-Label Graph Classification Problems
Ashirbad Mishra, Shad Kirmani, Kamesh Madduri, 2023,
Message from the HCW 2023 Steering Committee Co-Chairs
Behrooz Shirazi, Kamesh Madduri, 2023, 2023 IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2023 on p. 2
Efficient community detection in multilayer networks using boolean compositions
Abhishek Santra, Fariba Afrin Irany, Kamesh Madduri, Sharma Chakravarthy, Sanjukta Bhowmick, 2023, Frontiers in Big Data
Message from the HCW 2023 Steering Committee Co-Chairs
Behrooz Shirazi, Kamesh Madduri, 2023, 2023 IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2023 on p. 2
Developing Deep Learning Pipeline of Whole-Slide Images for Enhanced Diffuse Large B Cell Lymphoma (DLBCL) Subtyping and Outcome Prediction: Leveraging Self-Attention Transformer for Training and Inference
Chen Zhou, Jie Xu, Rishab Prakash, Carlos Torres-Cabala, C Chen, Kamesh Madduri, Arvind Rao, Greeshma Agasthya, Francisco Vega, Dennis O'Malley, L. Medeiros, S Tirupatikumara, Swami Iyer, 2023, Blood
Developing a deep learning pipeline to infer outcomes from whole slide images (WSI) and genomic data for diffuse large B cell lymphoma
C Zhou, J Xu, C Torres-Cabala, G Agasthya, C-B Chen, R Prakash, T Kantheti, S Tirupatikumara, Kamesh Madduri, S Iyer, 2022,
Multicore algorithms for graph connectivity problems
George M. Slota, Sivasankaran Rajamanickam, Kamesh Madduri, 2022, on p. 63-84
Partitioning trillion-edge graphs
George M. Slota, Karen Devine, Kamesh Madduri, Sivasankaran Rajamanickam, 2022, on p. 223-240
Most-Cited Papers
BFS and coloring-based parallel algorithms for strongly connected components and related problems
George M. Slota, Sivasankaran Rajamanickam, Kamesh Madduri, 2014, on p. 550-559
Partitioning Trillion-Edge Graphs in Minutes
George M. Slota, Sivasankaran Rajamanickam, Karen Devine, Kamesh Madduri, 2017, on p. 646-655
PuLP: Scalable multi-objective multi-constraint partitioning for small-world networks
George M. Slota, Kamesh Madduri, Sivasankaran Rajamanickam, 2014, on p. 481-490
Parallel k-Core decomposition on multicore platforms
Humayun Kabir, Kamesh Madduri, 2017, on p. 1482-1491
Consensus ensemble system for traffic flow prediction
Hongyuan Zhan, Gabriel Gomes, Xiaoye S. Li, Kamesh Madduri, Alex Sim, Kesheng Wu, 2018, IEEE Transactions on Intelligent Transportation Systems on p. 3903-3914
Parallel k-truss decomposition on multicore systems
Humayun Kabir, Kamesh Madduri, 2017,
A Case Study of Complex Graph Analysis in Distributed Memory: Implementation and Optimization
George M. Slota, Sivasankaran Rajamanickam, Kamesh Madduri, 2016, on p. 293-302
Shared-Memory Graph Truss Decomposition
Humayun Kabir, Kamesh Madduri, 2017, on p. 13-22
Complex network analysis using parallel approximate motif counting
George M. Slota, Kamesh Madduri, 2014, on p. 405-414
Simple parallel biconnectivity algorithms for multicore platforms
George M. Slota, Kamesh Madduri, 2014,