Mahantesh Halappanavar

Orcid: 0000-0002-2323-4753

According to our database1, Mahantesh Halappanavar authored at least 125 papers between 2002 and 2024.

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Bibliography

2024
Approximate Bipartite b-Matching using Multiplicative Auction.
CoRR, 2024

\texttt{Picasso}: Memory-Efficient Graph Coloring Using Palettes With Applications in Quantum Computing.
CoRR, 2024

Semi-supervised Learning of Dynamical Systems with Neural Ordinary Differential Equations: A Teacher-Student Model Approach.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Fused Breadth-First Probabilistic Traversals on Distributed GPU Systems.
CoRR, 2023

Robust Differentiable Predictive Control with Safety Guarantees: A Predictive Safety Filter Approach.
CoRR, 2023

Streaming Algorithms for Weighted k-Disjoint Matchings.
CoRR, 2023

Extreme Risk Mitigation in Reinforcement Learning using Extreme Value Theory.
CoRR, 2023

There is more to graphs than meets the eye: Learning universal features with self-supervision.
CoRR, 2023

Perspectives on AI Architectures and Co-design for Earth System Predictability.
CoRR, 2023

Deep Reinforcement Learning for Cyber System Defense under Dynamic Adversarial Uncertainties.
CoRR, 2023

cuAlign: Scalable Network Alignment on GPU Accelerators.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

AMG Preconditioners based on Parallel Hybrid Coarsening and Multi-objective Graph Matching.
Proceedings of the 31st Euromicro International Conference on Parallel, 2023

Faster approximate subgraph counts with privacy.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Scaling Optimal Allocation of Cloud Resources Using Lagrange Relaxation.
Proceedings of the Job Scheduling Strategies for Parallel Processing - 26th Workshop, 2023

Accelerating Scientific Simulations with Bi-Fidelity Weighted Transfer Learning.
Proceedings of the International Conference on Machine Learning and Applications, 2023

Extending Conformal Prediction to Hidden Markov Models with Exact Validity via de Finetti's Theorem for Markov Chains.
Proceedings of the International Conference on Machine Learning, 2023

Structural Validation of Synthetic Power Distribution Networks Using the Multiscale Flat Norm.
Proceedings of the Computational Science - ICCS 2023, 2023

FPGA Acceleration of GCN in Light of the Symmetry of Graph Adjacency Matrix.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

2022
Characterizing Performance of Graph Neighborhood Communication Patterns.
IEEE Trans. Parallel Distributed Syst., 2022

Towards scaling community detection on distributed-memory heterogeneous systems.
Parallel Comput., 2022

Direction-optimizing Label Propagation Framework for Structure Detection in Graphs: Design, Implementation, and Experimental Analysis.
ACM J. Exp. Algorithmics, 2022

Challenges and Opportunities in Deep Reinforcement Learning with Graph Neural Networks: A Comprehensive review of Algorithms and Applications.
CoRR, 2022

GraMeR: Graph Meta Reinforcement Learning for Multi-Objective Influence Maximization.
CoRR, 2022

Learning Stochastic Parametric Differentiable Predictive Control Policies.
CoRR, 2022

Scalable and Memory-Efficient Algorithms for Controlling Networked Epidemic Processes Using Multiplicative Weights Update Method.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

IMpart: A Partitioning-based Parallel Approach to Accelerate Influence Maximization.
Proceedings of the 29th IEEE International Conference on High Performance Computing, 2022

Differentiable Predictive Control with Safety Guarantees: A Control Barrier Function Approach.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Neural Lyapunov Differentiable Predictive Control.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

VWC-BERT: Scaling Vulnerability-Weakness-Exploit Mapping on Modern AI Accelerators.
Proceedings of the IEEE International Conference on Big Data, 2022

Gradient-Based Novelty Detection Boosted by Self-Supervised Binary Classification.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

HBMax: Optimizing Memory Efficiency for Parallel Influence Maximization on Multicore Architectures.
Proceedings of the International Conference on Parallel Architectures and Compilation Techniques, 2022

2021
EXAGRAPH: Graph and combinatorial methods for enabling exascale applications.
Int. J. High Perform. Comput. Appl., 2021

Risk-averse bi-level stochastic network interdiction model for cyber-security risk management.
Int. J. Crit. Infrastructure Prot., 2021

A Parallel Approximation Algorithm for Maximizing Submodular b-Matching.
CoRR, 2021

Self-supervised Novelty Detection for Continual Learning: A Gradient-Based Approach Boosted by Binary Classification.
Proceedings of the Continual Semi-Supervised Learning - First International Workshop, 2021

cuTS: scaling subgraph isomorphism on distributed multi-GPU systems using trie based data structure.
Proceedings of the International Conference for High Performance Computing, 2021

Single-node partitioned-memory for huge graph analytics: cost and performance trade-offs.
Proceedings of the International Conference for High Performance Computing, 2021

On the Stochastic Stability of Deep Markov Models.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

V2W-BERT: A Framework for Effective Hierarchical Multiclass Classification of Software Vulnerabilities.
Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

Graph analytics in the exascale era.
Proceedings of the CF '21: Computing Frontiers Conference, 2021

Transfer-Learnt Models for Predicting Electricity Consumption in Buildings with Limited and Sparse Field Data.
Proceedings of the 2021 American Control Conference, 2021

A Parallel Approximation Algorithm for Maximizing Submodular <i>b</i>-Matching.
Proceedings of the 2021 SIAM Conference on Applied and Computational Discrete Algorithms, 2021

2020
Introduction to the TOPC Special Issue on Innovations in Systems for Irregular Applications, Part 2.
ACM Trans. Parallel Comput., 2020

Introduction to the TOPC Special Issue on Innovations in Systems for Irregular Applications, Part 1.
ACM Trans. Parallel Comput., 2020

Preempt: scalable epidemic interventions using submodular optimization on multi-GPU systems.
Proceedings of the International Conference for High Performance Computing, 2020

Message from the workshop chairs.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, 2020

Vertex Reordering for Real-World Graphs and Applications: An Empirical Evaluation.
Proceedings of the IEEE International Symposium on Workload Characterization, 2020

cuRipples: influence maximization on multi-GPU systems.
Proceedings of the ICS '20: 2020 International Conference on Supercomputing, 2020

TriC: Distributed-memory Triangle Counting by Exploiting the Graph Structure.
Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020

Direction-optimizing label propagation and its application to community detection.
Proceedings of the 17th ACM International Conference on Computing Frontiers, 2020

2019
A 2/3-Approximation Algorithm for Vertex Weighted Matching in Bipartite Graphs.
SIAM J. Sci. Comput., 2019

A generative graph model for electrical infrastructure networks.
J. Complex Networks, 2019

Exploring MPI Communication Models for Graph Applications Using Graph Matching as a Case Study.
Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019

Scaling and Quality of Modularity Optimization Methods for Graph Clustering.
Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019

Distributed Direction-Optimizing Label Propagation for Community Detection.
Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019

Mapping Arbitrarily Sparse Two-Body Interactions on One-Dimensional Quantum Circuits.
Proceedings of the 26th IEEE International Conference on High Performance Computing, 2019

Fast and Scalable Implementations of Influence Maximization Algorithms.
Proceedings of the 2019 IEEE International Conference on Cluster Computing, 2019

2018
Exploring the Role of Intrinsic Nodal Activation on the Spread of Influence in Complex Networks.
Proceedings of the Social Network Based Big Data Analysis and Applications, 2018

Guest Editorial: Advances in Parallel Graph Processing: Algorithms, Architectures, and Application Frameworks.
IEEE Trans. Multi Scale Comput. Syst., 2018

Dynamic graphs, community detection, and Riemannian geometry.
Appl. Netw. Sci., 2018

Adaptive anonymization of data using b-edge cover.
Proceedings of the International Conference for High Performance Computing, 2018

MiniVite: A Graph Analytics Benchmarking Tool for Massively Parallel Systems.
Proceedings of the 2018 IEEE/ACM Performance Modeling, 2018

Stochastic Programming Approach for Resource Selection Under Demand Uncertainty.
Proceedings of the Job Scheduling Strategies for Parallel Processing, 2018

Introduction to GraML 2018.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018

Distributed Louvain Algorithm for Graph Community Detection.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

Scalable Distributed Memory Community Detection Using Vite.
Proceedings of the 2018 IEEE High Performance Extreme Computing Conference, 2018

Optimizing Distributed Data-Intensive Workflows.
Proceedings of the IEEE International Conference on Cluster Computing, 2018

2017
Algorithms for Balanced Graph Colorings with Applications in Parallel Computing.
IEEE Trans. Parallel Distributed Syst., 2017

AMPS: An Augmented Matrix Formulation for Principal Submatrix Updates with Application to Power Grids.
SIAM J. Sci. Comput., 2017

Comparative study of clustering techniques for real-time dynamic model reduction.
Stat. Anal. Data Min., 2017

Exploring performance and energy tradeoffs for irregular applications: A case study on the Tilera many-core architecture.
J. Parallel Distributed Comput., 2017

Exploring the Role of Intrinsic Nodal Activation on the Spread of Influence in Complex Networks.
CoRR, 2017

Towards Efficient Resource Allocation for Distributed Workflows Under Demand Uncertainties.
Proceedings of the Job Scheduling Strategies for Parallel Processing, 2017

Introduction to GraML Workshop.
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

Community Detection on the GPU.
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium, 2017

FlipNet: Modeling Covert and Persistent Attacks on Networked Resources.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

Scalable static and dynamic community detection using Grappolo.
Proceedings of the 2017 IEEE High Performance Extreme Computing Conference, 2017

Approximate Computing Techniques for Iterative Graph Algorithms.
Proceedings of the 24th IEEE International Conference on High Performance Computing, 2017

2016
Efficient Approximation Algorithms for Weighted b-Matching.
SIAM J. Sci. Comput., 2016

Fast Uncovering of Graph Communities on a Chip: Toward Scalable Community Detection on Multicore and Manycore Platforms.
Found. Trends Electron. Des. Autom., 2016

Influence Maximization on Complex Networks with Intrinsic Nodal Activation.
Proceedings of the Social Informatics - 8th International Conference, 2016

On Stable Marriages and Greedy Matchings.
Proceedings of the 2016 Proceedings of the Seventh SIAM Workshop on Combinatorial Scientific Computing, 2016

Designing scalable <i>b</i>-Matching algorithms on distributed memory multiprocessors by approximation.
Proceedings of the International Conference for High Performance Computing, 2016

Modeling the Impact of Silicon Photonics on Graph Analytics.
Proceedings of the IEEE International Conference on Networking, 2016

Accelerating the mining of influential nodes in complex networks through community detection.
Proceedings of the ACM International Conference on Computing Frontiers, CF'16, 2016

Formal Approach for Resilient Reachability based on End-System Route Agility.
Proceedings of the 2016 ACM Workshop on Moving Target Defense, 2016

2015
Parallel heuristics for scalable community detection.
Parallel Comput., 2015

A new augmentation based algorithm for extracting maximal chordal subgraphs.
J. Parallel Distributed Comput., 2015

Comparative Studies of Clustering Techniques for Real-Time Dynamic Model Reduction.
CoRR, 2015

A Network-of-Networks Model for Electrical Infrastructure Networks.
CoRR, 2015

Codesign Lessons Learned from Implementing Graph Matching on Multithreaded Architectures.
Computer, 2015

Towards efficient scheduling of data intensive high energy physics workflows.
Proceedings of the 10th Workshop on Workflows in Support of Large-Scale Science, 2015

Balanced Coloring for Parallel Computing Applications.
Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium, 2015

On the Impact of Execution Models: A Case Study in Computational Chemistry.
Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium Workshop, 2015

Optimizing Approximate Weighted Matching on Nvidia Kepler K40.
Proceedings of the 22nd IEEE International Conference on High Performance Computing, 2015

Optimizing irregular applications for energy and performance on the Tilera many-core architecture.
Proceedings of the 12th ACM International Conference on Computing Frontiers, 2015

2014
On parallel push-relabel based algorithms for bipartite maximum matching.
Parallel Comput., 2014

New Effective Multithreaded Matching Algorithms.
Proceedings of the 2014 IEEE 28th International Parallel and Distributed Processing Symposium, 2014

Parallel Heuristics for Scalable Community Detection.
Proceedings of the 2014 IEEE International Parallel & Distributed Processing Symposium Workshops, 2014

Scaling graph community detection on the Tilera many-core architecture.
Proceedings of the 21st International Conference on High Performance Computing, 2014

2013
Multi-Fault Tolerance for Cartesian Data Distributions.
Int. J. Parallel Program., 2013

Towards a Networks-of-Networks Framework for Cyber Security
CoRR, 2013

Towards effective clustering techniques for the analysis of electric power grids.
Proceedings of the 3rd International Workshop on High Performance Computing, 2013

Graph analytics for signature discovery.
Proceedings of the 2013 IEEE International Conference on Intelligence and Security Informatics, 2013

Towards a network-of-networks framework for cyber security.
Proceedings of the 2013 IEEE International Conference on Intelligence and Security Informatics, 2013

Graph coarsening for path finding in cybersecurity graphs.
Proceedings of the Cyber Security and Information Intelligence, 2013

2012
Graph coloring algorithms for multi-core and massively multithreaded architectures.
Parallel Comput., 2012

Approximate weighted matching on emerging manycore and multithreaded architectures.
Int. J. High Perform. Comput. Appl., 2012

Graph Coloring Algorithms for Muti-core and Massively Multithreaded Architectures
CoRR, 2012

A multithreaded algorithm for network alignment via approximate matching.
Proceedings of the SC Conference on High Performance Computing Networking, 2012

Towards Efficient N-x Contingency Selection Using Group betweenness Centrality.
Proceedings of the 2012 SC Companion: High Performance Computing, 2012

Feature Clustering for Accelerating Parallel Coordinate Descent.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Multithreaded Algorithms for Maxmum Matching in Bipartite Graphs.
Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium, 2012

A Novel Multithreaded Algorithm for Extracting Maximal Chordal Subgraphs.
Proceedings of the 41st International Conference on Parallel Processing, 2012

Scaling Up Coordinate Descent Algorithms for Large <i>ℓ<sub>1</sub></i> Regularization Problems.
Proceedings of the 29th International Conference on Machine Learning, 2012

2011
Computing maximum matching in parallel on bipartite graphs: worth the effort?
Proceedings of the first workshop on Irregular applications: architectures and algorithm, 2011

Techniques for Improving Filters in Power Grid Contingency Analysis.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2011

Distributed-Memory Parallel Algorithms for Matching and Coloring.
Proceedings of the 25th IEEE International Symposium on Parallel and Distributed Processing, 2011

Tolerating correlated failures for generalized Cartesian distributions via bipartite matching.
Proceedings of the 8th Conference on Computing Frontiers, 2011

2009
Algorithms for Vertex-Weighted Matching in Graphs.
PhD thesis, 2009

2008
A common application platform for the SURAgrid (CAP).
Proceedings of the 15th ACM Mardi Gras conference: From lightweight mash-ups to lambda grids: Understanding the spectrum of distributed computing requirements, applications, tools, infrastructures, interoperability, and the incremental adoption of key capabilities, Baton Rouge, Louisiana, USA, January 29, 2008

Efficient Parallel Implementations of Binomial Tree Option Price Valuation.
Proceedings of the ISCA 21st International Conference on Parallel and Distributed Computing and Communication Systems, 2008

2003
ECPV: Efficient Certificate Path Validation in Public-key Infrastructure.
Proceedings of the Data and Applications Security XVII: Status and Prospects, 2003

2002
Security in Distributed Digital Libraries: Issues and Challenges .
Proceedings of the 31st International Conference on Parallel Processing Workshops (ICPP 2002 Workshops), 2002

Recertification: A Technique to Improve Services in PKI.
Proceedings of the Research Directions in Data and Applications Security, 2002


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