Kamesh Madduri

Associate Professor of Computer Science and Engineering

Kamesh Madduri

Research Summary

Computational biology, algorithms, and high-performance computing.

Huck Affiliations

Links

Publication Tags

Data Storage Equipment Graph In Graph Theory Graphics Processing Unit Counting Decomposition Labels Parallel Algorithms Fusion Reactions Subgraph Supercomputers Proteins Data Structures Partitioning Turbulence Plasmas Dynamic Programming Communication Supercomputer Partition Servers Energy Efficiency Cells Decompose Strategy Enumeration

Most Recent Papers

Performance-portable graph coarsening for efficient multilevel graph analysis

Michael S. Gilbert, Seher Acer, Erik G. Boman, Kamesh Madduri, Sivasankaran Rajamanickam, 2021, on p. 213-222

GPU-Accelerated Flexible Molecular Docking

Mengran Fan, Jian Wang, Huaipan Jiang, Yilin Feng, Mehrdad Mahdavi, Kamesh Madduri, Mahmut T. Kandemir, Nikolay V. Dokholyan, 2021, Journal of Physical Chemistry B on p. 1049-1060

Scalable, Multi-Constraint, Complex-Objective Graph Partitioning

George M. Slota, Cameron Root, Karen Devine, Kamesh Madduri, Sivasankaran Rajamanickam, 2020, IEEE Transactions on Parallel and Distributed Systems on p. 2789-2801

Fast Spectral Graph Layout on Multicore Platforms

Ashirbad Mishra, Shad Kirmani, Kamesh Madduri, 2020,

High-Performance Phylogenetic Inference

David Bader, Kamesh Madduri, 2019, on p. 39-45

Parallel Read Partitioning for Concurrent Assembly of Metagenomic Data

Vasudevan Rengasamy, Mahmut T. Kandemir, Paul Medvedev, Kamesh Madduri, 2019, on p. 324-333

Distributed-memory graph algorithms for bioinformatics

Kamesh Madduri, 2019,

Modern gyrokinetic particle-in-cell simulation of fusion plasmas on top supercomputers

Bei Wang, Stephane Ethier, William Tang, Khaled Z. Ibrahim, Kamesh Madduri, Samuel Williams, Leonid Oliker, 2019, International Journal of High Performance Computing Applications on p. 169-188

Efficient Online Hyperparameter Learning for Traffic Flow Prediction

Hongyuan Zhan, Gabriel Gomes, Xiaoye S. Li, Kamesh Madduri, Kesheng Wu, 2018, on p. 164-169

Parallel Read Partitioning for Concurrent Assembly of Metagenomic Data

V. Rengasamy, M Kandemir, P Medvedev, Kamesh Madduri, 2018,

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

George M. Slota, Kamesh Madduri, Sivasankaran Rajamanickam, 2015, on p. 481-490

Fast approximate subgraph counting and enumeration

George M. Slota, Kamesh Madduri, 2013, on p. 210-219

NUMA-aware graph mining techniques for performance and energy efficiency

Michael Frasca, Kamesh Madduri, Padma Raghavan, 2012,

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

Complex network analysis using parallel approximate motif counting

George M. Slota, Kamesh Madduri, 2014, on p. 405-414

A Case Study of Complex Graph Analysis in Distributed Memory

George M. Slota, Sivasankaran Rajamanickam, Kamesh Madduri, 2016, on p. 293-302

Parallel k-truss decomposition on multicore systems

Humayun Kabir, Kamesh Madduri, 2017,

Kinetic turbulence simulations at extreme scale on leadership-class systems

Bei Wang, Stephane Ethier, William Tang, Timothy Williams, Khaled Z. Ibrahim, Kamesh Madduri, Samuel Williams, Leonid Oliker, 2013,