Peer-reviewed Journal Papers:

  1. Silva, S. J., Burrows, S. M., Evans, M. J., & Halappanavar, M. (2020). A graph theoretical intercomparison of atmospheric chemical mechanisms. Geophysical Research Letters, 47, e2020GL090481. https://doi.org/10.1029/2020GL090481.
  2. Frank Alexander, Ann Almgren, John Bell, Amitava Bhattacharjee, Jacqueline Chen, Phil Colella, David Daniel, Jack DeSlippe, Erik Draeger, Anshu Dubey, Thom Dunning, Thomas Evans, Ian Foster, Marianne Francois, Tim Germann, Mark Gordon, Salman Habib, Mahantesh Halappanavar, Steven Hamilton, William Hart, Zhenyu (Henry) Huang, Aimee Hungerford, Daniel Kasen, Paul R.C. Kent, Tzanio Kolev, Douglas B. Kothe, Andreas Kronfeld, Ye Luo, Paul Mackenzie, David McCallen, Bronson Messer, Sue Mniszewski, Chris Oehmen, Amedeo Perazzo, Danny Perez, David Richards, William J. Rider, Rob Rieben, Kenneth Roche, Andrew Siegel, Michael Sprague, Carl Steefel, Rick Stevens, Madhava Syamlal, Mark Taylor, John Turner, Jean-Luc Vay, Artur F. Voter, Theresa Windus, Katherine Yelick. “Exascale Applications: Skin in the Game.” Philosophical Transactions of the Royal Society A: Mathematical, Physical, and Engineering Sciences. Published: 20 January 2020. https://doi.org/10.1098/rsta.2019.0056 
  3. F Dobrian, M Halappanvar, A Pothen and A Al-Herz, "An approximation algorithm for vertex-weighted matching in bipartite graphs." In the SIAM Journal on Scientific Computing, 41(1), A566–A591. (26 pages). Oct. 2018. https://doi.org/10.1137/17M1140029 . Preliminary draft on arXiv: arxiv:1804.08016
  4. S Aksoy, E Purvine, E Cotilla-Sanchez, M Halappanavar. "A generative graph model for electrical infrastructure networks." In Journal of Complex Networks, Published online on 13 August 2018. https://doi.org/10.1093/comnet/cny016 -- - Free access -- [prior submission: arXiv:1711.11098v1] 
  5. C Bakker, M Halappanavar, and AV Sathanur. "Dynamic graphs, community detection, and Riemannian geometry." In Springer Applied Network Science. Volume 3, Number 1. March 2018. https://doi.org/10.1007/s41109-018-0059-2. Open access article: http://rdcu.be/Kb50
  6. E Purvine, E Cotilla Sanchez, M Halappanavar, Z Huang, G Lin, S Lu, and S Wang. "Comparative study of clustering techniques for real time dynamic model reduction." Special Issue: CoDA 2016 Special Issue: Selected Papers from the Conference on Data Analysis 2016 – Part III. 24 August 2017. https://doi.org/10.1002/sam.11352.
  7. Y Yeung, A Pothen, M Halappanavar, and Z Huang. “AMPS: An Augmented Matrix Formulation for Principal Submatrix Updates with Application to Power Grids." SIAM Journal on Scientific Computing, Vol. 39, No. 5, pp. S809-S827, 2017. https://doi.org/10.1137/16M1082755
  8. Q Duan, E Al-Shaer, S Chatterjee, M Halappanavar, and C Oehmen. "Proactive routing mutation against stealthy Distributed Denial of Service attacks: metrics, modeling, and analysis." The Journal of Defense Modeling and Simulation. Vol 15, Issue 2, pp. 219 - 230. October 13, 2017. https://doi.org/10.1177/1548512917731002
  9. H Lu, M Halappanavar, D Chavarría-Miranda, A Gebremedhin, A Panyala, and A Kalyanaraman. "Algorithms for Balanced Graph Colorings with Applications in Parallel Computing.” In IEEE Transactions on Parallel and Distributed Systems, vol.PP, no.99. https://doi.org/10.1109/TPDS.2016.2620142
  10. A Panyala, D Chavarría-Miranda, J Manzano, A Tumeo, and M Halappanavar.  “Exploring Performance and Energy Tradeoffs for Irregular Applications: A Case Study on the Tilera Many-core Architecture.” In Journal of Parallel and Distributed Computing. Volume 104, 2017, Pages 234-251, ISSN 0743-7315, https://doi.org/10.1016/j.jpdc.2016.06.006
  11. AV Sathanur, M Halappanavar, Y Shi, and Y Sagduyu. "Exploring the Role of Intrinsic Nodal Activation on the Spread of Influence in Complex Networks." To appear in Lecture Notes in Social Networks (LNSN). 2018.
  12. A Khan, A Pothen, M Patwary, S Nadathur, N Sundaram, F Manne, M Halappanavar, and P Dubey. “Efficient Approximation Algorithms for Weighted b-Matching.”  SIAM Journal on Scientific Computing. Vol. 38, No. 5, pp. S593-S619, 2016. https://doi.org/10.1137/15M1026304
  13. A Kalyanaraman, M Halappanavar, D Chavarría-Miranda, H Lu, K Duraisamy and P Pratim Pande. "Fast Uncovering of Graph Communities on a Chip: Toward Scalable Community Detection on Multicore and Manycore Platforms", Foundations and Trends® in Electronic Design Automation: Vol. 10: No. 3, pp 145-247. http://dx.doi.org/10.1561/1000000044
  14. M Halappanavar, A Pothen, F Manne, A Azad, J Langguth, and A Khan. "Codesign Lessons Learned from Implementing Graph Matching Algorithms on Multithreaded Architectures." In IEEE Computer. Issue No 8. Volume 48. Pages 46--55. August 2015. http://doi.org/10.1109/MC.2015.215
  15. S Chatterjee, R Tipireddy, M Oster, and M Halappanavar. "A Probabilistic Framework for Quantifying Mixed Uncertainties in Cyber Attacker Payoffs." In National Cyber-security Institute Journal. Volume 2, Number 3. Pages 13 -- 24. December 29, 2015. Open access article: http://ncij.excelsior.edu/volume-2-number-3/
  16. H Lu, M Halappanavar, and A Kalyanaraman. "Parallel Heuristics for Scalable Community Detection." In Elsevier Journal of Parallel Computing: Systems and Applications (ParCo). Volume 47, August 2015, Pages 19--37. https://doi.org/10.1016/j.parco.2015.03.003. Open access article: https://www.sciencedirect.com/science/article/pii/S0167819115000472. Available on arXiv (arXiv:1410.1237).
  17. S Bhowmick, T Chen, and M Halappanavar. "A new augmentation based algorithm for extracting maximal chordal subgraphs." In Journal of Parallel and Distributed Computing (JPDC). Volume 76. Pages 132--144. Feb 2015. https://doi.org/10.1016/j.jpdc.2014.10.006
  18. J Langguth, A Azad, M Halappanavar, and F Manne. "On Parallel Push-Relabel Algorithms for Bipartite Maximum Matching." In Elsevier Journal of Parallel Computing: Systems and Applications (ParCo). Volume 40, Issue 7. Pages 289-308. July 2014. https://doi.org/10.1016/j.parco.2014.03.004
  19. N Ali, S Krishnamoorthy, M Halappanavar, and J Daily. "Multi-failure Tolerance for Cartesian Data Distributions." In Springer International Journal of Parallel Programming (IJPP). Volume 41, Issue 3. Pages 469--493. June, 2013. https://doi.org/10.1007/s10766-012-0218-5
  20. M Halappanavar, J Feo, O Villa, A Tumeo, A Pothen. "Approximate Weighted Matching on Emerging Manycore and Multithreaded Architectures." In SAGE International Journal of High Performance Computing Applications (IJHPCA). Volume 26, No. 4. Pages 413--430. November, 2012. https://doi.org/10.1177/1094342012452893
  21. U Catalyurek, J Feo, A Gebremedhin, M Halappanavar, and A Pothen. "Graph Coloring Algorithms for Muticore and Massively Multithreaded Architectures." In Elsevier Journal of Parallel Computing: Systems and Applications (ParCo). Volume 38, No. 10-11. Pages 576--594. October, 2012. https://doi.org/10.1016/j.parco.2012.07.001. Available on arXiv (arXiv:1205.3809).

Peer-reviewed Conference Papers:

  1. M Minutoli, M Halappanavar, A Tumeo, A Kalyanaraman, A Vullikanti, and P Sambaturu. "PREEMPT: Scalable Epidemic Interventions Using Submodular Optimization on Multi-GPU Systems." In ACM/IEEE International Conference for High Performance Computing, Network, Storage and Analysis (SC’20). Nov 9--19, 2020. Held virtually.
  2. R Barik, M Minutoli, M Halappanavar, N Tallent, and A Kalyanaraman. "Vertex Reordering for Real-world Graphs and Applications: An Empirical Evaluation." In IEEE International Symposium on Workload Characterization (IISWC-2020). Oct 27–29, 2020. Held virtually.
  3. S Ghosh and M Halappanavar. "TriC: Distributed-memory Triangle Counting by Exploiting the GraphStructure." In 2020 IEEE High Performance Extreme Computing Conference. Sep 21--25, 2020. Held virtually. [Amazon Graph Challenge Champions Award]
  4. M. Minutoli, M Drocco, M Halappanavar, A Tumeo, and A Kalyanaraman. “CuRipples: Influence Maximizationon  Multi-GPU  Systems,”  In proceedings  of  the  International Conference on Supercomputing (ICS20), June 29 - July 2, 2020 in Barcelona, Spain.
  5. Liu X., M. Halappanavar, K.J. Barker, A. Lumsdaine, and A. Gebremedhin. "Direction-optimizing Label Propagation and its Application for Community Detection." In Proceedings of the 17th ACM International Conference on Computing Frontiers. May 11 - May 13, 2020, Catania, Sicily, Italy.
  6. Khan M.H., M. Halappanavar, T.J. Hagge, K. Kowalski, A. Pothen, and S. Krishnamoorthy. 2019. "Mapping Arbitrarily Sparse Two-body Interactions on One-dimensional Quantum Circuits." In proceedings of the 26th Annual IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC). 17-20 December 2019, Hyderabad, India.
  7. A. V. Sathanur, B. Sripimonwan, M. Halappanavar, S. Chatterjee, A. Ganguly and K. Clark, "Identification of Critical Airports from the Perspective of Delay and Disruption Propagation in Air Travel Networks," In proceedings of the IEEE International Symposium on Technologies for Homeland Security (HST), Woburn, MA, USA, 2019, pp. 1-6.
  8. S. Ghosh, M. Halappanavar, A. Tumeo, A. Kalyanaraman. “Scaling and quality of modularity optimization methods for graph clustering.” In Proceedings of the IEEE High Performance Extreme Computing (HPEC'19), 6 pages, 2019. [Amazon Graph Challenge Innovation Award]
  9. X Liu, J Firoz, M Zalewski, M Halappanavar, K Barker, A Lumsdaine, A Gebremedhin. “Direction-Optimizing Label Propagation Algorithm.” In Proceedings of the IEEE High Performance Extreme Computing (HPEC'19), 6 pages, 2019. [Amazon Graph Challenge Innovation Award]
  10. M. Minutoli, M. Halappanavar, A. Kalyanaraman, A. Sathanur, R. Mcclure and J. McDermott, "Fast and Scalable Implementations of Influence Maximization Algorithms," 2019 IEEE International Conference on Cluster Computing (CLUSTER), Albuquerque, NM, USA, 2019, pp. 1-12, doi:10.1109/CLUSTER.2019.8890991.
  11. S. Ghosh, M. Halappanavar, A. Kalyanaraman, A. Khan, A. Gebremedhin. "Exploring MPI communication models for graph applications using graph matching as a case study." In the Proceedings of the IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2019.
  12. A Khan, A Pothen, K Choromanski, S Ferdous, M Halappanavar, and A Tumeo. "Adaptive Anonymization of Data with b-Edge Covers." In proceedings of the International Conference for High Performance Computing, Network, Storage and Analysis (SC'18). Dallas, Texas. November 11–16, 2018.
  13. S. Ghosh, M. Halappanavar, A. Tumeo, A. Kalyanaraman and A. Gebremedhin, "Scalable Community Detection Using Vite." In proceedings of the 2018 IEEE High Performance Extreme Computing Conference (HPEC), Waltham, MA, 2018. [Amazon Graph Challenge Student Innovation Award]
  14. U Bhatia, S Chatterjee, A Ganguly, M Halappanavar, R Tipireddy, and R Brigantic. "Aviation Transportation, Cyber Threats, and Network-of-Networks: Conceptual Framing and Modeling Perspectives for Translating Theory to Practice." In proceedings of the IEEE International Symposium on Technologies for Homeland Security (HST). October 23 - 24, 2018 Woburn, MA USA.
  15. R Friese, N Tallent, M Schram, M Halappanavar, and K Barker. "Optimizing Distributed Data-Intensive Workflows." In proceedings of the The IEEE Cluster Conference. September 10 - 13, 2018, Belfast, UK.
  16. S Young, Y Makarov, R Diao, R Fan, R Huang, J O'Brien, M Halappanavar, M Vallem, and Z Huang. "Synthetic Power Grids from Real World Models." In IEEE Power & Energy Society (PES) General Meeting. August 5 - 9, 2018, Portland, OR. [“Best of the Best” Conference Papers submitted to the 2018 Power & Energy Society (PES) General Meeting Award.]
  17. S Young, Y Makarov, R Diao, J O'Brien, R Huang, R Fan, M Halappanavar, M Vallem, and Z Huang. "Topological Power Grid Statistics from a Network-of-Networks Perspective." In IEEE Power & Energy Society (PES) General Meeting. August 5 - 9, 2018, Portland, OR.
  18. V Shekar, L Fiondella, Samrat Chatterjee, and M Halappanavar. "A Game-Theoretic Method to Efficiently Assess the Vulnerability of a Dynamic Transportation Network." In proceedings of the Probabilistic Safety Assessment And Management (PSAM) Conference. Los Angeles, CA. 16-21 September 2018.
  19. S Ghosh, M Halappanavar, A Tumeo, A Kalyanaraman, H Lu, A Khan, and A Gebremedhin. "Distributed Louvain Algorithm for Graph Community Detection." In proceedings of the 32nd IEEE International Parallel & Distributed Processing Symposium. May 21 – May 25, 2018. Vancouver, Canada.
  20. A Panyala, O Subasi, M Halappanavar, A Kalyanaraman, D Chavarria-Miranda, and S Krishnamoorthy. "Approximate Computing Techniques for Iterative Graph Algorithms." In proceedings of the 2017 IEEE 24th International Conference on High Performance Computing (HiPC), Jaipur, 2017, pp. 23-32. http://doi.org/10.1109/HiPC.2017.00013
  21. S. Saha, A. Vullikanti and M. Halappanavar. "FlipNet: Modeling Covert and Persistent Attacks on Networked Resources," 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS), Atlanta, GA, 2017, pp. 2444-2451.
  22. R. Tipireddy, S. Chatterjee, P. Paulson, M. Oster and M. Halappanavar, "Agent-centric approach for cybersecurity decision-support with partial observability." In proceedings of the 2017 IEEE International Symposium on Technologies for Homeland Security (HST), Waltham, MA, 2017, pp. 1-6.
  23. V. Shekar, L. Fiondella, S. Chatterjee and M. Halappanavar, "Quantifying economic and environmental impacts of transportation network disruptions with dynamic traffic simulation." In proceedings of the 2017 IEEE International Symposium on Technologies for Homeland Security (HST), Waltham, MA, 2017, pp. 1-4.
  24. V. Shekar, L. Fiondella, S. Chatterjee and M. Halappanavar, "Quantitative assessment of transportation network vulnerability with dynamic traffic simulation methods." In proceedings of the 2017 IEEE International Symposium on Technologies for Homeland Security (HST), Waltham, MA, 2017, pp. 1-7. [Best paper award in Attack and Disaster Track]
  25. M. Naim, F. Manne, M. Halappanavar and A. Tumeo, "Community Detection on the GPU," 2017 IEEE International Parallel and Distributed Processing Symposium (IPDPS), Orlando, FL, 2017, pp. 625-634.
  26. M Schram, V Bansal, R Friese, N Tallent, J Yin, K Barker, E Stephan, M Halappanavar, and D Kerbyson. "Integrating prediction, provenance, and optimization into high energy workflows." In Journal of Physics: Conference Series. Volume 898, Issue 6. November, 2017.
  27. M. Halappanavar, H. Lu, A. Kalyanaraman and A. Tumeo, "Scalable static and dynamic community detection using Grappolo." In proceedings of the 2017 IEEE High Performance Extreme Computing Conference (HPEC), Waltham, MA, 2017, pp. 1-6. [DARPA/Amazon Graph Challenge Champions]
  28. AV Sathanur, and M Halappanavar. "Influence Maximization on Complex Networks with Intrinsic Nodal Activation." In proceedings of the 8th International Conference on Social Informatics (SocInfo 2016). Bellevue, WA, USA. November 2016.
  29. A Khan, A Pothen, M Patwary, M Halappanavar, S Nadathur, N Sundaram, and P Dubey. “Computing b-Matchings at Scale on Distributed Memory Multiprocessors by Approximation.” In proceedings of the International Conference for High Performance Computing, Network, Storage and Analysis (SC'16). Salt Lake City, Utah. November 2016.
  30. N Tallent, K Barker, D Chavarría-Miranda, A Tumeo, M Halappanavar, D Kerbyson, and A Hoisie. "Modeling the Impact of Silicon Photonics on Graph Analytics." In proceedings of the 11th IEEE International Conference on Networking, Architecture, and Storage. Long Beach, USA. August 8 -- 10, 2016.
  31. M Halappanavar, AV Sathanur, and A Nandi. "Accelerating the Mining of Influential Nodes in Complex Networks through Community Detection." In proceedings of the ACM International Conference on Computing Frontiers. May 16 - 18, 2016. Como, Italy.
  32. S Chatterjee, R Tipireddy, MR Oster, and M Halappanavar. "Propagating Mixed Uncertainties in Cyber Attacker Payoffs:  Exploration of Two-Phase Monte Carlo Sampling and Probability Bounds Analysis." In proceedings of the IEEE International Conference on Technologies for Homeland Security. May 10 - 12, 2016. Waltham, Massachusetts, USA.
  33. TH Bhuiyan, A Nandi, H Medal, and M Halappanavar. "Minimizing Expected Maximum Risk from Cyber-Attacks with Probabilistic Attack Success." In proceedings of the IEEE International Conference on Technologies for Homeland Security. May 10 - 12, 2016. Waltham, Massachusetts, USA.
  34. S Saha, A Vullikanti, M Halappanavar, and S Chatterjee. "Identifying Vulnerabilities and Hardening Attack Graphs for Networked Systems." In proceedings of the IEEE International Conference on Technologies for Homeland Security. May 10 - 12, 2016. Waltham, Massachusetts, USA.
  35. M Naim, F Manne, M Halappanavar, A Tumeo, J Langguth. "Optimizing Approximate Weighted Matching on Nvidia Kepler K40." (To appear) In proceedings of the 22nd annual IEEE International Conference on High Performance Computing (HiPC), Bengaluru, India, 16 -- 19 December, 2015.
  36. D Chavarría-Miranda, A Panyala, M Halappanavar, J Manzano, and A Tumeo.  “Optimizing Irregular Applications for Energy and Performance on the Tilera Many-core Architecture.” In proceedings of the ACM International Conference on Computing Frontiers, Ischia, Italy. May 18-21, 2015.
  37. S Chatterjee, M Halappanavar, R Tipireddy, M Oster, S Saha. "Quantifying Mixed Uncertainties in Cyber Attacker Payoffs." In proceedings of the 2015 IEEE Conference on Technologies for Homeland Security, Waltham, MA, 14 -- 16 April, 2015. [Best paper award in Cyber Security Track]
  38. H Lu, M Halappanavar, D Chavarría-Miranda, A Gebremedhin, and A Kalyanaraman. "Balanced Coloring for Parallel Computing Applications." In proceedings of the IEEE 29th International Parallel and Distributed Processing Symposium, Hyderabad, India, 25 -- 29 May, 2015.
  39. D Chavarría-Miranda, M Halappanavar, and A Kalyanaraman. "Scaling graph community detection on the Tilera many-core architecture." In proceedings of the IEEE International Conference on High Performance Computing (HiPC), Goa, India, 17 -- 20 December, 2014.
  40. F Manne and M Halappanavar. "New Effective Multithreaded Matching Algorithms." In proceedings of the IEEE 28th International Parallel and Distributed Processing Symposium, Phoenix, AZ, 19 -- 23 May, 2014.
  41. P Ramuhalli, M Halappanavar, J Coble, M Dixit. "Towards A Theory of Autonomous Reconstitution of Compromised Cyber-Systems." In proceedings of the 13th Annual IEEE Conference on Technologies for Homeland Security, Waltham, MA, 12 -- 14 Nov, 2013. [Best paper award in Cyber Security Track]
  42. E Hogan, P Hui, S Choudhury, M Halappanavar, K Oler, C Joslyn. "Towards a Multiscale Approach to Cybersecurity Modeling." In proceedings of the 13th Annual IEEE Conference on Technologies for Homeland Security, Waltham, MA, 12 -- 14 Nov, 2013.
  43. M Halappanavar, S Choudhury, E Hogan, P Hui, J Johnson, I Ray, L B. Holder: "Towards a Networks-of-Networks Framework for CyberSecurity." In proceedings of the IEEE Intelligence and Security Informatics Conference, Seattle, June 4 --7, 2013. Available on arXiv (arXiv:1304.6761).
  44. C Scherrer, A Tewari, M Halappanavar, and D Haglin. "Feature Clustering for Accelerating Parallel Coordinate Descent." In proceedings of the Neural Information Processing Systems Foundation (NIPS). Lake Tahoe, Nevada. December 2012. Available on arXiv (arXiv:1212.4174).
  45. A Khan, D Gleich, M Halappanavar, A Pothen. "A Multithreaded Algorithm for Network Alignment via Approximate Matching." In proceedings of the International Conference for High Performance Computing, Network, Storage and Analysis (SC'12). Salt Lake City, Utah. November 2012.
  46. M Halappanavar, K Dempsey, S Bhowmick, H Ali and J Feo. "A Novel Multithreaded Algorithm For Extracting Maximal Chordal Subgraphs." In proceedings of the 41st International Conference on Parallel Processing (ICPP), Pittsburgh, PA. September 10 -- 13, 2012.
  47. C Scherrer, M Halappanavar, A Tewari, and D Haglin. "Scaling Up Coordinate Descent Algorithms for Large L1 Regularization Problems." In proceedings of the International Conference on Machine Learning (ICML). June 26 -- July 1, 2012. Edinburgh, Scotland. Available on arXiv (arXiv:1206.6409).
  48. A Azad, M Halappanavar, S Rajamanickam, E Boman, A Khan, and A Pothen. "Multithreaded Algorithms for Maximum Matching in Bipartite Graphs." In  proceedings of the 26th IEEE International Parallel & Distributed Processing Symposium (IPDPS). Shanghai, China. May 20-24, 2012.
  49. N Ali, S Krishnamoorthy, M Halappanavar, and J Daily. "Tolerating Correlated Failures for Generalized Cartesian Distributions via Bipartite Matching." In proceedings of the ACM International Conference on Computing Frontiers, Ischia, Italy 2011.
  50. R Adolf, D Haglin, M Halappanavar, Y Chen, and Z Huang. "Techniques for Improving Filters in Power Grid Contingency Analysis." In proceedings of the International Conference on Machine Learning and Data Mining; MLDM 2011.
  51. M Halappanavar, A Kumar, R Mukkamala, and M Zubair. "Efficient parallel implementations for binomial tree-based options pricing." In proceedings of the ISCA PDCCS 2008.
  52. M Halappanavar, J Robinson, M Yafchak, E Afgane, and P Bangalore. "A Common Application Platform for the SURAgrid (CAP)." In proceedings of the Mardi Gras Conference 2008.
  53. M Halappanavar and R Mukkamala. "ECPV: Efficient Certificate Path Validation in Public-key Infrastructure." In proceedings of the 17th IFIP WG11.3 Working Conference on Database and Application Security, Estes Park, Colorado, USA, August 4 -- 6, 2003.
  54. R Mukkamala, S Das, and M Halappanavar. "Recertification: a Technique to Improve Services in Public-key Infrastructure." In proceedings of the 16th IFIP WG11.3 Working Conference on Database and Application Security, King's College, University of Cambridge, UK, July 29-31, 2002.

Peer-reviewed Workshop Papers:

  1. S. Ghosh, M. Halappanavar, A. Tumeo, A. Kalyanaraman, A. Gebremedhin. "miniVite: A graph analytics benchmarking tool for massively parallel systems." In proceedings of the IEEE International Workshop on Performance Modeling, Benchmarking and Simulation (PMBS'18), held in conjunction with ACM/IEEE Supercomputing (SC'18), 2018.
  2. T Bhuiyan, M Halappanavar, R Friese, H Medal, L De La Torre, A Visweswara Sathanur, and NR Tallent. 2017. "Stochastic Programming Approach for Resource Selection under Demand Uncertainty." In appear in 32nd IEEE International Parallel and Distributed Processing Symposium Workshop: Job Scheduling Strategies for Parallel Processing (JSSPP 2018). May 21 - May 25, 2018. Vancouver, Canada.
  3. R Friese, M Halappanavar, A Sathanur, M Schram, D Kerbyson, and L de la Torre. "Towards Efficient Resource Allocation for Distributed Workflows Under Demand Uncertainties." In 31st IEEE International Parallel & Distributed Processing Symposium Workshop: Job Scheduling Strategies for Parallel Processing (JSSPP 2017). pp 103-121. Part of the Lecture Notes in Computer Science book series (LNCS, volume 10773).
  4. U Rauf, F Gillani, E Al-Shaer, M Halappanavar, S Chatterjee, and C Oehmen. "Formal Approach For Resilient Reachability based on End-System Route Agility." In proceedings of the 3rd ACM Workshop on Moving Target Defense (MTD 2016) in conjunction with the 23rd ACM Conference on Computer and Communications Security (CCS) October 24-28, 2016, Vienna, Austria.
  5. F Manne, M Naim and M Halappanavar. "On Stable Marriages and Greedy Matchings." In proceedings of the SIAM Workshop on Combinatorial Scientific Computing (CSC16), Albuquerque, NM, October 10-12, 2016. [Best paper award]
  6. M Halappanavar, M Schram, L de la Torre, K Barker, N Tallent, and D Kerbyson. “Towards Efficient Scheduling of Data Intensive High Energy Physics Workflows.” In proceedings of the WORKS 2015 Workshop, held in conjunction with the International Conference for High Performance Computing, Networking, Storage and Analysis (SC15).
  7. D Chavarría-Miranda, M Halappanavar, S Krishnamoorthy, JB Manzano Franco, A Vishnu, and A Hoisie. "On the Impact of Execution Models: A Case Study in Computational Chemistry." In proceedings of the Workshop on Large-Scale Parallel Processing (LSPP) to be held in conjunction with the IEEE 29th International Parallel and Distributed Processing Symposium (IPDPS), Hyderabad, India, 25 -- 29 May, 2015.
  8. H Lu, M Halappanavar, A Kalyanaraman, and S Choudhury. "Parallel heuristics for scalable community detection." In proceedings of the International Workshop on Multithreaded Architectures and Applications (MTAAP), IPDPS Workshops, May 23, 2014, Phoenix, AZ, pp. 1375-1385.
  9. E Hogan, J Cotilla-Sanchez, M Halappanavar, S Wang, P Mackey, P Hines, and Z Huang. "Towards Effective Clustering Techniques for the Analysis of Electric Power Grids." In proceedings of the 3rd International Workshop on High Performance Computing, Networking and Analytics for the Power Grid , Denver, CO. 18 -- 22 Nov, 2013.
  10. M Halappanavar, Y Chen, R Adolf, D Haglin, M Rice, and Z Huang. "Towards Efficient N-x Contingency Selection Using Group Betweenness Centrality." In proceedings of the 2nd International Workshop on High Performance Computing, Networking and Analytics for the Power Grid. Salt Lake City, UT, USA, November 11, 2012.
  11. E Hogan, J Johnson, and M Halappanavar. "Path-Finding in Cybersecurity Graphs to Detect and Defend a Pass-the-Hash Attack." Extended Abstract, DTRA/NSF/NGA Algorithms Workshop, San Diego, CA. 2012.
  12. E Hogan, J Johnson, and M Halappanavar. "Path-Finding in Cybersecurity Graphs to Detect and Defend a Pass-the-Hash Attack." Extended Abstract. Algorithms for Threat Detection Workshop, November 26, 2012.
  13. A Azad, M Halappanavar, F Dobrian, and A Pothen. "Computing Maximum Matching in Parallel on Bipartite Graphs: Worth the Effort?" In proceedings of the First Workshop on Irregular Applications: Architectures and Algorithm (IAAA '11). November, 2011.
  14. U Catalyurek, F Dobrian, A Gebremedhin, M Halappanavar, and A Pothen. "Distributed-memory Parallel Algorithms for Matching and Coloring." In proceedings of the PCO'11 new trends in Parallel Computing and Optimization, in conjunction with IEEE IPDPS 2011, Anchorage, USA, May 16 -- 20, 2011.
  15. S Vemulapalli, M Halappanavar, and R Mukkamala, "Security in Distributed Digital Libraries: Issues and Challenges." In proceedings of the Distributed Computing Architectures for Digital Libraries (DCADL-02) held in conjunction with the 31st International Conference on Parallel Processing ICPP 2002, Vancouver, Canada August 18 -- 21, 2002.

Misc Contributions & Manuscripts in review:


Last updated: