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2020 – today
- 2024
- [j25]Karthik Somayaji N. S., Yu Wang, Malachi Schram, Ján Drgona, Mahantesh M. Halappanavar, Frank Liu, Peng Li:
Extreme Risk Mitigation in Reinforcement Learning using Extreme Value Theory. Trans. Mach. Learn. Res. 2024 (2024) - [c85]Yu Wang, Yuxuan Yin, Karthik Somayaji N. S., Ján Drgona, Malachi Schram, Mahantesh Halappanavar, Frank Liu, Peng Li:
Semi-supervised Learning of Dynamical Systems with Neural Ordinary Differential Equations: A Teacher-Student Model Approach. AAAI 2024: 15698-15705 - [c84]Reece Neff
, Mostafa Eghbali Zarch
, Marco Minutoli
, Mahantesh Halappanavar
, Antonino Tumeo
, Ananth Kalyanaraman
, Michela Becchi
:
FuseIM: Fusing Probabilistic Traversals for Influence Maximization on Exascale Systems. ICS 2024: 38-49 - [c83]S. M. Ferdous, Reece Neff, Bo Peng, Salman Shuvo, Marco Minutoli, Sayak Mukherjee, Karol Kowalski, Michela Becchi, Mahantesh Halappanavar:
Picasso: Memory-Efficient Graph Coloring Using Palettes With Applications in Quantum Computing. IPDPS 2024: 241-252 - [c82]Naw Safrin Sattar, Hao Lu, Feiyi Wang, Mahantesh Halappanavar:
Distributed Multi-GPU Community Detection on Exascale Computing Platforms. IPDPS (Workshops) 2024: 815-824 - [c81]S. M. Ferdous, Alex Pothen, Mahantesh Halappanavar:
Streaming Matching and Edge Cover in Practice. SEA 2024: 12:1-12:22 - [i35]S. M. Ferdous, Reece Neff, Bo Peng, Salman Shuvo, Marco Minutoli, Sayak Mukherjee, Karol Kowalski, Michela Becchi, Mahantesh Halappanavar:
\texttt{Picasso}: Memory-Efficient Graph Coloring Using Palettes With Applications in Quantum Computing. CoRR abs/2401.06713 (2024) - [i34]Bhargav Samineni, S. M. Ferdous, Mahantesh Halappanavar, Bala Krishnamoorthy:
Approximate Bipartite b-Matching using Multiplicative Auction. CoRR abs/2403.05781 (2024) - [i33]Kostiantyn Lyman, Rounak Meyur, Bala Krishnamoorthy, Mahantesh Halappanavar:
Structural Validation Of Synthetic Power Distribution Networks Using The Multiscale Flat Norm. CoRR abs/2403.12334 (2024) - [i32]Fabiana Ferracina, Bala Krishnamoorthy, Mahantesh Halappanavar, Shengwei Hu, Vidyasagar Sathuvalli:
Predictive Analytics of Varieties of Potatoes. CoRR abs/2404.03701 (2024) - [i31]Siddhartha Shankar Das, S. M. Ferdous, Mahantesh M. Halappanavar, Edoardo Serra, Alex Pothen:
AGS-GNN: Attribute-guided Sampling for Graph Neural Networks. CoRR abs/2405.15218 (2024) - [i30]Hung Phan, Anurag Acharya, Sarthak Chaturvedi, Shivam Sharma, Mike Parker, Dan Nally, Ali Jannesari, Karl Pazdernik, Mahantesh Halappanavar, Sai Munikoti, Sameera Horawalavithana:
RAG vs. Long Context: Examining Frontier Large Language Models for Environmental Review Document Comprehension. CoRR abs/2407.07321 (2024) - 2023
- [c80]Gopikrishnan Raveendran Nair, Han-Sok Suh, Mahantesh Halappanavar, Frank Liu, Jae-sun Seo, Yu Cao:
FPGA Acceleration of GCN in Light of the Symmetry of Graph Adjacency Matrix. DATE 2023: 1-6 - [c79]Rounak Meyur, Kostiantyn Lyman, Bala Krishnamoorthy, Mahantesh Halappanavar:
Structural Validation of Synthetic Power Distribution Networks Using the Multiscale Flat Norm. ICCS (4) 2023: 55-69 - [c78]Buddhika Nettasinghe, Samrat Chatterjee, Ramakrishna Tipireddy, Mahantesh M. Halappanavar:
Extending Conformal Prediction to Hidden Markov Models with Exact Validity via de Finetti's Theorem for Markov Chains. ICML 2023: 25890-25903 - [c77]Katarzyna Borowiec, Dan Lu, Vikas Chandan, Samrat Chatterjee, Pradeep Ramuhalli, Ramakrishna Tipireddy, Mahantesh Halappanavar, Frank Liu:
Accelerating Scientific Simulations with Bi-Fidelity Weighted Transfer Learning. ICMLA 2023: 994-999 - [c76]Luis de la Torre, Mahantesh Halappanavar:
Scaling Optimal Allocation of Cloud Resources Using Lagrange Relaxation. JSSPP 2023: 173-192 - [c75]Dung Nguyen, Mahantesh Halappanavar, Venkatesh Srinivasan, Anil Vullikanti:
Faster approximate subgraph counts with privacy. NeurIPS 2023 - [c74]Pasqua D'Ambra
, Fabio Durastante
, S. M. Ferdous
, Salvatore Filippone
, Mahantesh Halappanavar
, Alex Pothen
:
AMG Preconditioners based on Parallel Hybrid Coarsening and Multi-objective Graph Matching. PDP 2023: 59-67 - [c73]Lizhi Xiang
, Arif M. Khan
, S. M. Ferdous
, Aravind Sukumaran-Rajam
, Mahantesh Halappanavar
:
cuAlign: Scalable Network Alignment on GPU Accelerators. SC Workshops 2023: 747-755 - [i29]Ashutosh Dutta, Samrat Chatterjee, Arnab Bhattacharya, Mahantesh Halappanavar:
Deep Reinforcement Learning for Cyber System Defense under Dynamic Adversarial Uncertainties. CoRR abs/2302.01595 (2023) - [i28]Maruti K. Mudunuru, James A. Ang, Mahantesh Halappanavar, Simon D. Hammond, Maya B. Gokhale, James C. Hoe, Tushar Krishna, Sarat Sreepathi, Matthew R. Norman, Ivy Bo Peng, Philip W. Jones:
Perspectives on AI Architectures and Co-design for Earth System Predictability. CoRR abs/2304.03748 (2023) - [i27]Laya Das, Sai Munikoti, Mahantesh Halappanavar:
There is more to graphs than meets the eye: Learning universal features with self-supervision. CoRR abs/2305.19871 (2023) - [i26]Karthik Somayaji N. S., Yu Wang, Malachi Schram
, Ján Drgona, Mahantesh Halappanavar, Frank Liu, Peng Li:
Extreme Risk Mitigation in Reinforcement Learning using Extreme Value Theory. CoRR abs/2308.13011 (2023) - [i25]Yu Wang, Yuxuan Yin, Karthik Somayaji Nanjangud Suryanarayana, Ján Drgona, Malachi Schram, Mahantesh Halappanavar, Frank Liu, Peng Li:
Semi-Supervised Learning of Dynamical Systems with Neural Ordinary Differential Equations: A Teacher-Student Model Approach. CoRR abs/2310.13110 (2023) - [i24]S. M. Ferdous, Bhargav Samineni, Alex Pothen, Mahantesh Halappanavar, Bala Krishnamoorthy:
Streaming Algorithms for Weighted k-Disjoint Matchings. CoRR abs/2311.02073 (2023) - [i23]Wenceslao Shaw-Cortez, Ján Drgona, Draguna L. Vrabie, Mahantesh Halappanavar:
Robust Differentiable Predictive Control with Safety Guarantees: A Predictive Safety Filter Approach. CoRR abs/2311.08496 (2023) - [i22]Reece Neff, Mostafa Eghbali Zarch, Marco Minutoli, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman, Michela Becchi:
Fused Breadth-First Probabilistic Traversals on Distributed GPU Systems. CoRR abs/2311.10201 (2023) - 2022
- [j24]Xu T. Liu
, Andrew Lumsdaine
, Mahantesh Halappanavar
, Kevin J. Barker
, Assefaw Hadish Gebremedhin
:
Direction-optimizing Label Propagation Framework for Structure Detection in Graphs: Design, Implementation, and Experimental Analysis. ACM J. Exp. Algorithmics 27: 1.12:1-1.12:31 (2022) - [j23]Nitin Gawande, Sayan Ghosh
, Mahantesh Halappanavar
, Antonino Tumeo, Ananth Kalyanaraman:
Towards scaling community detection on distributed-memory heterogeneous systems. Parallel Comput. 111: 102898 (2022) - [j22]Sayan Ghosh
, Nathan R. Tallent
, Mahantesh Halappanavar:
Characterizing Performance of Graph Neighborhood Communication Patterns. IEEE Trans. Parallel Distributed Syst. 33(4): 915-928 (2022) - [c72]Xinyu Chen, Marco Minutoli, Jiannan Tian, Mahantesh Halappanavar, Ananth Kalyanaraman, Dingwen Tao:
HBMax: Optimizing Memory Efficiency for Parallel Influence Maximization on Multicore Architectures. PACT 2022: 412-425 - [c71]Jingbo Sun, Li Yang, Jiaxin Zhang, Frank Liu, Mahantesh Halappanavar, Deliang Fan, Yu Cao:
Gradient-Based Novelty Detection Boosted by Self-Supervised Binary Classification. AAAI 2022: 8370-8377 - [c70]Siddhartha Shankar Das, Mahantesh Halappanavar, Antonino Tumeo, Edoardo Serra, Alex Pothen, Ehab Al-Shaer:
VWC-BERT: Scaling Vulnerability-Weakness-Exploit Mapping on Modern AI Accelerators. IEEE Big Data 2022: 1224-1229 - [c69]Wenceslao Shaw-Cortez, Ján Drgona, Aaron Tuor, Mahantesh Halappanavar, Draguna L. Vrabie
:
Differentiable Predictive Control with Safety Guarantees: A Control Barrier Function Approach. CDC 2022: 932-938 - [c68]Sayak Mukherjee, Ján Drgona, Aaron Tuor, Mahantesh Halappanavar, Draguna L. Vrabie
:
Neural Lyapunov Differentiable Predictive Control. CDC 2022: 2097-2104 - [c67]Reet Barik, Marco Minutoli, Mahantesh Halappanavar, Ananth Kalyanaraman:
IMpart: A Partitioning-based Parallel Approach to Accelerate Influence Maximization. HIPC 2022: 125-134 - [c66]Prathyush Sambaturu, Marco Minutoli
, Mahantesh Halappanavar, Ananth Kalyanaraman, Anil Vullikanti:
Scalable and Memory-Efficient Algorithms for Controlling Networked Epidemic Processes Using Multiplicative Weights Update Method. IJCAI 2022: 5164-5170 - [i21]Ján Drgona, Sayak Mukherjee, Aaron Tuor, Mahantesh Halappanavar, Draguna L. Vrabie:
Learning Stochastic Parametric Differentiable Predictive Control Policies. CoRR abs/2203.01447 (2022) - [i20]Sayak Mukherjee, Ján Drgona, Aaron Tuor, Mahantesh Halappanavar, Draguna L. Vrabie:
Neural Lyapunov Differentiable Predictive Control. CoRR abs/2205.10728 (2022) - [i19]Sai Munikoti
, Balasubramaniam Natarajan, Mahantesh Halappanavar:
GraMeR: Graph Meta Reinforcement Learning for Multi-Objective Influence Maximization. CoRR abs/2205.14834 (2022) - [i18]Sai Munikoti
, Deepesh Agarwal, Laya Das, Mahantesh Halappanavar, Balasubramaniam Natarajan:
Challenges and Opportunities in Deep Reinforcement Learning with Graph Neural Networks: A Comprehensive review of Algorithms and Applications. CoRR abs/2206.07922 (2022) - [i17]Xinyu Chen, Marco Minutoli
, Jiannan Tian, Mahantesh Halappanavar, Ananth Kalyanaraman, Dingwen Tao:
HBMax: Optimizing Memory Efficiency for Parallel Influence Maximization on Multicore Architectures. CoRR abs/2208.00613 (2022) - [i16]Wenceslao Shaw-Cortez, Ján Drgona, Aaron Tuor, Mahantesh Halappanavar, Draguna L. Vrabie:
Differentiable Predictive Control with Safety Guarantees: A Control Barrier Function Approach. CoRR abs/2208.02319 (2022) - [i15]Buddhika Nettasinghe, Samrat Chatterjee, Ramakrishna Tipireddy, Mahantesh Halappanavar:
Extending Conformal Prediction to Hidden Markov Models with Exact Validity via de Finetti's Theorem for Markov Chains. CoRR abs/2210.02271 (2022) - 2021
- [j21]Tanveer Hossain Bhuiyan
, Hugh R. Medal, Apurba K. Nandi, Mahantesh Halappanavar:
Risk-averse bi-level stochastic network interdiction model for cyber-security risk management. Int. J. Crit. Infrastructure Prot. 32: 100408 (2021) - [j20]Seher Acer, Ariful Azad, Erik G. Boman, Aydin Buluç
, Karen D. Devine, S. M. Ferdous
, Nitin Gawande
, Sayan Ghosh, Mahantesh Halappanavar
, Ananth Kalyanaraman, Arif Khan, Marco Minutoli
, Alex Pothen
, Sivasankaran Rajamanickam, Oguz Selvitopi, Nathan R. Tallent
, Antonino Tumeo:
EXAGRAPH: Graph and combinatorial methods for enabling exascale applications. Int. J. High Perform. Comput. Appl. 35(6): 553-571 (2021) - [c65]S. M. Ferdous
, Alex Pothen, Arif Khan, Ajay Panyala, Mahantesh Halappanavar:
A Parallel Approximation Algorithm for Maximizing Submodular b-Matching. ACDA 2021: 45-56 - [c64]Milan Jain, Khushboo Gupta, Arun V. Sathanur, Vikas Chandan, Mahantesh Halappanavar:
Transfer-Learnt Models for Predicting Electricity Consumption in Buildings with Limited and Sparse Field Data. ACC 2021: 2887-2894 - [c63]Mahantesh Halappanavar, Marco Minutoli, Sayan Ghosh:
Graph analytics in the exascale era. CF 2021: 209 - [c62]Siddhartha Shankar Das, Edoardo Serra
, Mahantesh Halappanavar, Alex Pothen
, Ehab Al-Shaer:
V2W-BERT: A Framework for Effective Hierarchical Multiclass Classification of Software Vulnerabilities. DSAA 2021: 1-12 - [c61]Ján Drgona, Sayak Mukherjee, Jiaxin Zhang, Frank Liu, Mahantesh Halappanavar:
On the Stochastic Stability of Deep Markov Models. NeurIPS 2021: 24033-24047 - [c60]Sayan Ghosh, Nathan R. Tallent
, Marco Minutoli
, Mahantesh Halappanavar, Ramesh Peri, Ananth Kalyanaraman:
Single-node partitioned-memory for huge graph analytics: cost and performance trade-offs. SC 2021: 55 - [c59]Lizhi Xiang, Arif Khan, Edoardo Serra
, Mahantesh Halappanavar, Aravind Sukumaran-Rajam:
cuTS: scaling subgraph isomorphism on distributed multi-GPU systems using trie based data structure. SC 2021: 69 - [c58]Jingbo Sun
, Li Yang
, Jiaxin Zhang
, Frank Liu
, Mahantesh Halappanavar
, Deliang Fan
, Yu Cao
:
Self-supervised Novelty Detection for Continual Learning: A Gradient-Based Approach Boosted by Binary Classification. CSSL 2021: 118-133 - [i14]Siddhartha Shankar Das, Edoardo Serra, Mahantesh Halappanavar, Alex Pothen, Ehab Al-Shaer:
V2W-BERT: A Framework for Effective Hierarchical Multiclass Classification of Software Vulnerabilities. CoRR abs/2102.11498 (2021) - [i13]S. M. Ferdous, Alex Pothen, Arif Khan, Ajay Panyala, Mahantesh Halappanavar:
A Parallel Approximation Algorithm for Maximizing Submodular b-Matching. CoRR abs/2107.05793 (2021) - [i12]Ján Drgona, Sayak Mukherjee, Jiaxin Zhang, Frank Liu, Mahantesh Halappanavar:
On the Stochastic Stability of Deep Markov Models. CoRR abs/2111.04601 (2021) - [i11]Jingbo Sun, Li Yang, Jiaxin Zhang, Frank Liu, Mahantesh Halappanavar, Deliang Fan, Yu Cao:
Gradient-based Novelty Detection Boosted by Self-supervised Binary Classification. CoRR abs/2112.09815 (2021) - 2020
- [j19]Antonino Tumeo, Fabrizio Petrini, John Feo, Mahantesh Halappanavar:
Introduction to the TOPC Special Issue on Innovations in Systems for Irregular Applications, Part 1. ACM Trans. Parallel Comput. 7(1): 1:1-1:2 (2020) - [j18]Antonino Tumeo, Fabrizio Petrini, John Feo, Mahantesh Halappanavar:
Introduction to the TOPC Special Issue on Innovations in Systems for Irregular Applications, Part 2. ACM Trans. Parallel Comput. 7(4): 23:1-23:2 (2020) - [c57]Xu T. Liu
, Mahantesh Halappanavar, Kevin J. Barker
, Andrew Lumsdaine
, Assefaw H. Gebremedhin:
Direction-optimizing label propagation and its application to community detection. CF 2020: 192-201 - [c56]Sayan Ghosh, Mahantesh Halappanavar:
TriC: Distributed-memory Triangle Counting by Exploiting the Graph Structure. HPEC 2020: 1-6 - [c55]Marco Minutoli
, Maurizio Drocco, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman:
cuRipples: influence maximization on multi-GPU systems. ICS 2020: 12:1-12:11 - [c54]Reet Barik, Marco Minutoli
, Mahantesh Halappanavar, Nathan R. Tallent
, Ananth Kalyanaraman:
Vertex Reordering for Real-World Graphs and Applications: An Empirical Evaluation. IISWC 2020: 240-251 - [c53]Scott McMillan, Manoj Kumar, Danai Koutra, Mahantesh Halappanavar, Tim Mattson, Antonino Tumeo:
Message from the workshop chairs. IPDPS Workshops 2020: 199-200 - [c52]Marco Minutoli
, Prathyush Sambaturu, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman, Anil Vullikanti:
Preempt: scalable epidemic interventions using submodular optimization on multi-GPU systems. SC 2020: 55
2010 – 2019
- 2019
- [j17]Sinan G. Aksoy
, Emilie Purvine, Eduardo Cotilla Sanchez, Mahantesh Halappanavar:
A generative graph model for electrical infrastructure networks. J. Complex Networks 7(1): 128-162 (2019) - [j16]Florin Dobrian, Mahantesh Halappanavar, Alex Pothen
, Ahmed Al-Herz
:
A 2/3-Approximation Algorithm for Vertex Weighted Matching in Bipartite Graphs. SIAM J. Sci. Comput. 41(1): A566-A591 (2019) - [c51]Marco Minutoli
, Mahantesh Halappanavar, Ananth Kalyanaraman, Arun V. Sathanur, Ryan S. McClure, Jason E. McDermott:
Fast and Scalable Implementations of Influence Maximization Algorithms. CLUSTER 2019: 1-12 - [c50]Arif M. Khan, Mahantesh Halappanavar, Tobias Hagge, Karol Kowalski, Alex Pothen
, Sriram Krishnamoorthy
:
Mapping Arbitrarily Sparse Two-Body Interactions on One-Dimensional Quantum Circuits. HiPC 2019: 52-62 - [c49]Xu Liu
, Jesun Sahariar Firoz, Marcin Zalewski, Mahantesh Halappanavar, Kevin J. Barker
, Andrew Lumsdaine
, Assefaw H. Gebremedhin:
Distributed Direction-Optimizing Label Propagation for Community Detection. HPEC 2019: 1-6 - [c48]Sayan Ghosh, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman:
Scaling and Quality of Modularity Optimization Methods for Graph Clustering. HPEC 2019: 1-6 - [c47]Sayan Ghosh, Mahantesh Halappanavar, Ananth Kalyanaraman, Arif Khan, Assefaw H. Gebremedhin:
Exploring MPI Communication Models for Graph Applications Using Graph Matching as a Case Study. IPDPS 2019: 761-770 - 2018
- [j15]Craig Bakker
, Mahantesh Halappanavar, Arun V. Sathanur:
Dynamic graphs, community detection, and Riemannian geometry. Appl. Netw. Sci. 3(1): 3:1-3:30 (2018) - [j14]Ananth Kalyanaraman
, Mahantesh Halappanavar:
Guest Editorial: Advances in Parallel Graph Processing: Algorithms, Architectures, and Application Frameworks. IEEE Trans. Multi Scale Comput. Syst. 4(3): 188-189 (2018) - [c46]Ryan D. Friese
, Nathan R. Tallent
, Malachi Schram, Mahantesh Halappanavar, Kevin J. Barker
:
Optimizing Distributed Data-Intensive Workflows. CLUSTER 2018: 279-289 - [c45]Sayan Ghosh, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman, Assefaw H. Gebremedhin:
Scalable Distributed Memory Community Detection Using Vite. HPEC 2018: 1-7 - [c44]Sayan Ghosh, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman, Hao Lu, Daniel G. Chavarría-Miranda, Arif Khan, Assefaw Hadish Gebremedhin:
Distributed Louvain Algorithm for Graph Community Detection. IPDPS 2018: 885-895 - [c43]Antonino Tumeo, Mahantesh Halappanavar, John Feo, Assefaw Hadish Gebremedhin, Abhinav Vishnu:
Introduction to GraML 2018. IPDPS Workshops 2018: 1166-1167 - [c42]Tanveer Hossain Bhuiyan
, Mahantesh Halappanavar, Ryan D. Friese, Hugh R. Medal, Luis de la Torre
, Arun V. Sathanur, Nathan R. Tallent
:
Stochastic Programming Approach for Resource Selection Under Demand Uncertainty. JSSPP 2018: 107-126 - [c41]Sayan Ghosh, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman, Assefaw H. Gebremedhin:
MiniVite: A Graph Analytics Benchmarking Tool for Massively Parallel Systems. PMBS@SC 2018: 51-56 - [c40]Arif Khan, Krzysztof Choromanski, Alex Pothen, S. M. Ferdous, Mahantesh Halappanavar, Antonino Tumeo:
Adaptive anonymization of data using b-edge cover. SC 2018: 59:1-59:11 - [p1]Arun V. Sathanur, Mahantesh Halappanavar, Yi Shi, Yalin E. Sagduyu:
Exploring the Role of Intrinsic Nodal Activation on the Spread of Influence in Complex Networks. Social Network Based Big Data Analysis and Applications 2018: 123-142 - [i10]Florin Dobrian, Mahantesh Halappanavar, Alex Pothen, Ahmed Al-Herz:
A 2/3-Approximation Algorithm for Vertex-weighted Matching in Bipartite Graphs. CoRR abs/1804.08016 (2018) - 2017
- [j13]Ajay Panyala
, Daniel G. Chavarría-Miranda, Joseph B. Manzano
, Antonino Tumeo
, Mahantesh Halappanavar
:
Exploring performance and energy tradeoffs for irregular applications: A case study on the Tilera many-core architecture. J. Parallel Distributed Comput. 104: 234-251 (2017) - [j12]Emilie Purvine, Eduardo Cotilla Sanchez, Mahantesh Halappanavar, Zhenyu Huang, Guang Lin, Shuai Lu, Shaobu Wang
:
Comparative study of clustering techniques for real-time dynamic model reduction. Stat. Anal. Data Min. 10(5): 263-276 (2017) - [j11]Yu Hong Yeung
, Alex Pothen
, Mahantesh Halappanavar, Zhenyu Huang:
AMPS: An Augmented Matrix Formulation for Principal Submatrix Updates with Application to Power Grids. SIAM J. Sci. Comput. 39(5) (2017) - [j10]Hao Lu
, Mahantesh Halappanavar, Daniel G. Chavarría-Miranda, Assefaw Hadish Gebremedhin, Ajay Panyala, Ananth Kalyanaraman:
Algorithms for Balanced Graph Colorings with Applications in Parallel Computing. IEEE Trans. Parallel Distributed Syst. 28(5): 1240-1256 (2017) - [c39]Ajay Panyala, Omer Subasi, Mahantesh Halappanavar, Ananth Kalyanaraman, Daniel G. Chavarría-Miranda, Sriram Krishnamoorthy:
Approximate Computing Techniques for Iterative Graph Algorithms. HiPC 2017: 23-32 - [c38]Mahantesh Halappanavar, Hao Lu
, Ananth Kalyanaraman, Antonino Tumeo
:
Scalable static and dynamic community detection using Grappolo. HPEC 2017: 1-6 - [c37]Sudip Saha, Anil Vullikanti, Mahantesh Halappanavar:
FlipNet: Modeling Covert and Persistent Attacks on Networked Resources. ICDCS 2017: 2444-2451 - [c36]Md. Naim, Fredrik Manne, Mahantesh Halappanavar, Antonino Tumeo
:
Community Detection on the GPU. IPDPS 2017: 625-634 - [c35]Antonino Tumeo
, Mahantesh Halappanavar, John Feo:
Introduction to GraML Workshop. IPDPS Workshops 2017: 1529-1530 - [c34]Ryan D. Friese
, Mahantesh Halappanavar, Arun V. Sathanur, Malachi Schram, Darren J. Kerbyson, Luis de la Torre
:
Towards Efficient Resource Allocation for Distributed Workflows Under Demand Uncertainties. JSSPP 2017: 103-121 - [e1]Srinivas Alum, Ananth Kalyanaraman, Bora Uçar, Kishore Kothapalli, Mahantesh Halappanavar, Kamesh Madduri, Madhu Govindaraju, Yinglong Xia, Sushil K. Prasad, Martina Barnas, Ashish Sureka, Pankesh Patel, Vikas Saxena, Sanjay Goel:
Tenth International Conference on Contemporary Computing, IC3 2017, Noida, India, August 10-12, 2017. IEEE Computer Society 2017, ISBN 978-1-5386-3077-8 [contents] - [i9]Yu Hong Yeung, Alex Pothen, Mahantesh Halappanavar, Zhenyu Huang:
AMPS: An Augmented Matrix Formulation for Principal Submatrix Updates with Application to Power Grids. CoRR abs/1706.03147 (2017) - [i8]Arun V. Sathanur, Mahantesh Halappanavar, Yi Shi, Yalin E. Sagduyu:
Exploring the Role of Intrinsic Nodal Activation on the Spread of Influence in Complex Networks. CoRR abs/1707.05287 (2017) - [i7]Sinan G. Aksoy, Emilie Purvine, Eduardo Cotilla Sanchez, Mahantesh Halappanavar:
A generative graph model for electrical infrastructure networks. CoRR abs/1711.11098 (2017) - 2016
- [j9]Ananth Kalyanaraman, Mahantesh Halappanavar, Daniel G. Chavarría-Miranda, Hao Lu
, Karthi Duraisamy, Partha Pratim Pande:
Fast Uncovering of Graph Communities on a Chip: Toward Scalable Community Detection on Multicore and Manycore Platforms. Found. Trends Electron. Des. Autom. 10(3): 145-247 (2016) - [j8]Arif M. Khan, Alex Pothen
, Md. Mostofa Ali Patwary, Nadathur Rajagopalan Satish, Narayanan Sundaram, Fredrik Manne, Mahantesh Halappanavar, Pradeep Dubey:
Efficient Approximation Algorithms for Weighted b-Matching. SIAM J. Sci. Comput. 38(5) (2016) - [c33]Usman Rauf, Fida Gillani, Ehab Al-Shaer, Mahantesh Halappanavar, Samrat Chatterjee, Christopher S. Oehmen:
Formal Approach for Resilient Reachability based on End-System Route Agility. MTD@CCS 2016: 117-127 - [c32]Mahantesh Halappanavar, Arun V. Sathanur, Apurba K. Nandi:
Accelerating the mining of influential nodes in complex networks through community detection. Conf. Computing Frontiers 2016: 64-71 - [c31]Nathan R. Tallent
, Kevin J. Barker
, Daniel G. Chavarría-Miranda, Antonino Tumeo
, Mahantesh Halappanavar, Andrès Márquez
, Darren J. Kerbyson, Adolfy Hoisie:
Modeling the Impact of Silicon Photonics on Graph Analytics. NAS 2016: 1-11 - [c30]Arif M. Khan, Alex Pothen
, Md. Mostofa Ali Patwary, Mahantesh Halappanavar, Nadathur Rajagopalan Satish, Narayanan Sundaram, Pradeep Dubey:
Designing scalable b-Matching algorithms on distributed memory multiprocessors by approximation. SC 2016: 773-783 - [c29]Fredrik Manne, Md. Naim, Håkon Lerring, Mahantesh Halappanavar:
On Stable Marriages and Greedy Matchings. CSC 2016: 92-101 - [c28]Arun V. Sathanur, Mahantesh Halappanavar:
Influence Maximization on Complex Networks with Intrinsic Nodal Activation. SocInfo (2) 2016: 133-141 - 2015
- [j7]Mahantesh Halappanavar, Alex Pothen
, Ariful Azad, Fredrik Manne, Johannes Langguth, Arif M. Khan:
Codesign Lessons Learned from Implementing Graph Matching on Multithreaded Architectures. Computer 48(8): 46-55 (2015) - [j6]Sanjukta Bhowmick, Tzu-Yi Chen, Mahantesh Halappanavar:
A new augmentation based algorithm for extracting maximal chordal subgraphs. J. Parallel Distributed Comput. 76: 132-144 (2015) - [j5]Hao Lu
, Mahantesh Halappanavar, Ananth Kalyanaraman:
Parallel heuristics for scalable community detection. Parallel Comput. 47: 19-37 (2015) - [c27]Daniel G. Chavarría-Miranda, Ajay Panyala, Mahantesh Halappanavar, Joseph B. Manzano
, Antonino Tumeo
:
Optimizing irregular applications for energy and performance on the Tilera many-core architecture. Conf. Computing Frontiers 2015: 12:1-12:8 - [c26]Md. Naim, Fredrik Manne, Mahantesh Halappanavar, Antonino Tumeo
, Johannes Langguth:
Optimizing Approximate Weighted Matching on Nvidia Kepler K40. HiPC 2015: 105-114 - [c25]Hao Lu
, Mahantesh Halappanavar, Daniel G. Chavarría-Miranda, Assefaw Hadish Gebremedhin, Ananth Kalyanaraman:
Balanced Coloring for Parallel Computing Applications. IPDPS 2015: 7-16 - [c24]Daniel G. Chavarría-Miranda, Mahantesh Halappanavar, Sriram Krishnamoorthy, Joseph B. Manzano
, Abhinav Vishnu, Adolfy Hoisie
:
On the Impact of Execution Models: A Case Study in Computational Chemistry. IPDPS Workshops 2015: 255-264 - [c23]Mahantesh Halappanavar, Malachi Schram, Luis de la Torre, Kevin J. Barker, Nathan R. Tallent
, Darren J. Kerbyson:
Towards efficient scheduling of data intensive high energy physics workflows. WORKS@SC 2015: 3:1-3:9 - [i6]Emilie Hogan, Eduardo Cotilla Sanchez, Mahantesh Halappanavar, Zhenyu Huang, Guang Lin, Shuai Lu, Shaobu Wang:
Comparative Studies of Clustering Techniques for Real-Time Dynamic Model Reduction. CoRR abs/1501.00943 (2015) - [i5]Mahantesh Halappanavar, Eduardo Cotilla Sanchez, Emilie Hogan, Daniel Duncan, Zhenyu (Henry) Huang, Paul D. H. Hines:
A Network-of-Networks Model for Electrical Infrastructure Networks. CoRR abs/1512.01436 (2015) - 2014
- [j4]Johannes Langguth, Ariful Azad, Mahantesh Halappanavar, Fredrik Manne:
On parallel push-relabel based algorithms for bipartite maximum matching. Parallel Comput. 40(7): 289-308 (2014) - [c22]Daniel G. Chavarría-Miranda, Mahantesh Halappanavar, Ananth Kalyanaraman:
Scaling graph community detection on the Tilera many-core architecture. HiPC 2014: 1-11 - [c21]Fredrik Manne, Mahantesh Halappanavar:
New Effective Multithreaded Matching Algorithms. IPDPS 2014: 519-528 - [c20]Hao Lu
, Mahantesh Halappanavar, Ananth Kalyanaraman, Sutanay Choudhury:
Parallel Heuristics for Scalable Community Detection. IPDPS Workshops 2014: 1374-1385 - [i4]Hao Lu, Mahantesh Halappanavar, Ananth Kalyanaraman:
Parallel Heuristics for Scalable Community Detection. CoRR abs/1410.1237 (2014) - 2013
- [j3]Nawab Ali, Sriram Krishnamoorthy, Mahantesh Halappanavar, Jeff Daily
:
Multi-Fault Tolerance for Cartesian Data Distributions. Int. J. Parallel Program. 41(3): 469-493 (2013) - [c19]Emilie Hogan, John R. Johnson, Mahantesh Halappanavar:
Graph coarsening for path finding in cybersecurity graphs. CSIIRW 2013: 7 - [c18]Mahantesh Halappanavar, Sutanay Choudhury, Emilie Hogan, Peter Hui, John R. Johnson, Indrajit Ray, Lawrence B. Holder:
Towards a network-of-networks framework for cyber security. ISI 2013: 106-108 - [c17]Emilie Hogan, John R. Johnson, Mahantesh Halappanavar, Chaomei Lo:
Graph analytics for signature discovery. ISI 2013: 315-320 - [c16]Emilie Hogan, Eduardo Cotilla Sanchez, Mahantesh Halappanavar, Shaobu Wang
, Patrick Mackey, Paul Hines, Zhenyu Huang:
Towards effective clustering techniques for the analysis of electric power grids. HiPCNA-PG@SC 2013: 1:1-1:8 - [i3]Mahantesh Halappanavar, Sutanay Choudhury, Emilie Hogan, Peter Hui, John R. Johnson, Indrajit Ray, Lawrence B. Holder:
Towards a Networks-of-Networks Framework for Cyber Security. CoRR abs/1304.6761 (2013) - 2012
- [j2]Mahantesh Halappanavar, John Feo, Oreste Villa, Antonino Tumeo
, Alex Pothen
:
Approximate weighted matching on emerging manycore and multithreaded architectures. Int. J. High Perform. Comput. Appl. 26(4): 413-430 (2012) - [j1]Ümit V. Çatalyürek
, John Feo, Assefaw Hadish Gebremedhin, Mahantesh Halappanavar, Alex Pothen
:
Graph coloring algorithms for multi-core and massively multithreaded architectures. Parallel Comput. 38(10-11): 576-594 (2012) - [c15]Chad Scherrer, Mahantesh Halappanavar, Ambuj Tewari, David Haglin:
Scaling Up Coordinate Descent Algorithms for Large ℓ1 Regularization Problems. ICML 2012 - [c14]Mahantesh Halappanavar, John Feo, Kathryn Dempsey, Hesham H. Ali, Sanjukta Bhowmick:
A Novel Multithreaded Algorithm for Extracting Maximal Chordal Subgraphs. ICPP 2012: 58-67 - [c13]Ariful Azad, Mahantesh Halappanavar, Sivasankaran Rajamanickam, Erik G. Boman, Arif M. Khan, Alex Pothen
:
Multithreaded Algorithms for Maxmum Matching in Bipartite Graphs. IPDPS 2012: 860-872 - [c12]Chad Scherrer, Ambuj Tewari, Mahantesh Halappanavar, David Haglin:
Feature Clustering for Accelerating Parallel Coordinate Descent. NIPS 2012: 28-36 - [c11]Arif M. Khan, David F. Gleich, Alex Pothen
, Mahantesh Halappanavar:
A multithreaded algorithm for network alignment via approximate matching. SC 2012: 64 - [c10]Mahantesh Halappanavar, Yousu Chen
, Robert Adolf, David Haglin, Zhenyu Huang, Mark Rice:
Towards Efficient N-x Contingency Selection Using Group betweenness Centrality. SC Companion 2012: 273-282 - [i2]Ümit V. Çatalyürek, John Feo, Assefaw Hadish Gebremedhin, Mahantesh Halappanavar, Alex Pothen:
Graph Coloring Algorithms for Muti-core and Massively Multithreaded Architectures. CoRR abs/1205.3809 (2012) - [i1]Chad Scherrer, Ambuj Tewari, Mahantesh Halappanavar, David J. Haglin:
Feature Clustering for Accelerating Parallel Coordinate Descent. CoRR abs/1212.4174 (2012) - 2011
- [c9]Nawab Ali, Sriram Krishnamoorthy, Mahantesh Halappanavar, Jeff Daily
:
Tolerating correlated failures for generalized Cartesian distributions via bipartite matching. Conf. Computing Frontiers 2011: 36 - [c8]Ümit V. Çatalyürek
, Florin Dobrian, Assefaw Hadish Gebremedhin, Mahantesh Halappanavar, Alex Pothen
:
Distributed-Memory Parallel Algorithms for Matching and Coloring. IPDPS Workshops 2011: 1971-1980 - [c7]Robert Adolf, David Haglin, Mahantesh Halappanavar, Yousu Chen
, Zhenyu Huang:
Techniques for Improving Filters in Power Grid Contingency Analysis. MLDM 2011: 599-611 - [c6]Ariful Azad, Mahantesh Halappanavar, Florin Dobrian, Alex Pothen
:
Computing maximum matching in parallel on bipartite graphs: worth the effort? IA3@SC 2011: 11-14
2000 – 2009
- 2009
- [b1]Mahantesh Halappanavar:
Algorithms for Vertex-Weighted Matching in Graphs. Old Dominion University, Norfolk, Virginia, USA, 2009 - 2008
- [c5]Mahantesh Halappanavar, Amit Kumar, Ravi Mukkamala, Mohammad Zubair:
Efficient Parallel Implementations of Binomial Tree Option Price Valuation. PDCCS 2008: 74-81 - [c4]Mahantesh Halappanavar, John-Paul Robinson, Enis Afgan, Mary Fran Yafchak, Purushotham V. Bangalore:
A common application platform for the SURAgrid (CAP). Mardi Gras Conference 2008: 41 - 2003
- [c3]Mahantesh Halappanavar, Ravi Mukkamala:
ECPV: Efficient Certificate Path Validation in Public-key Infrastructure. DBSec 2003: 215-228 - 2002
- [c2]Ravi Mukkamala, Satyam Das, Mahantesh Halappanavar:
Recertification: A Technique to Improve Services in PKI. DBSec 2002: 259-270 - [c1]Somasekhar Vemulapalli, Mahantesh Halappanavar, Ravi Mukkamala:
Security in Distributed Digital Libraries: Issues and Challenges . ICPP Workshops 2002: 480-486
Coauthor Index
aka: Assefaw H. Gebremedhin
aka: Ananth Kalyanaraman
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