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 Graphics Processing Unit Data Structures Decomposition Labels Parallel Algorithms Communication Regression Analysis Cell Intelligent Vehicle Highway Systems Traffic Control Intelligent Systems Learning Systems Time Series Analysis Travel Time Proteins Fusion Reactions Plasmas Optimization Supercomputers Strategy Supercomputer Servers Energy Efficiency Plasma

Most Recent Papers

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,

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

Most-Cited Papers

Parallel breadth-first search on distributed memory systems

Aydin Buluç, Kamesh Madduri, 2011,

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

Gyrokinetic toroidal simulations on leading multi- and manycore HPC systems

Kamesh Madduri, Khaled Z. Ibrahim, Samuel Williams, Eun Jin Im, Stephane Ethier, John Shalf, Leonid Oliker, 2011,

Gyrokinetic particle-in-cell optimization on emerging multi- and manycore platforms

Kamesh Madduri, Eun Jin Im, Khaled Z. Ibrahim, Samuel Williams, Stéphane Ethier, Leonid Oliker, 2011, Parallel Computing on p. 501-520

Fast approximate subgraph counting and enumeration

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

PuLP

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

Partitioning Trillion-Edge Graphs in Minutes

George M. Slota, Sivasankaran Rajamanickam, Karen Devine, Kamesh Madduri, 2017, on p. 646-655

NUMA-aware graph mining techniques for performance and energy efficiency

Michael Frasca, Kamesh Madduri, Padma Raghavan, 2012,

Parallel k-truss decomposition on multicore systems

Humayun Kabir, Kamesh Madduri, 2017,

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