Ramakrishnan Kannan

81 papers A* 9A 9B 13C 4Misc 4Journal 21Unranked 20

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	AI-Powered Knowledge Graphs for Neuromorphic and Energy-Efficient Computing. ACM Great Lakes Symposium on VLSI Ashish Gautam, Robert M. Patton, Thomas E. Potok, Ramakrishnan Kannan, James B. Aimone, William Severa
2025	J	`jnl`	Communication-Efficient, 2D Parallel Stochastic Gradient Descent for Distributed-Memory Optimization. CoRR Aditya Devarakonda, Ramakrishnan Kannan
2025	J	`jnl`	Community detection robustness of graph neural networks. CoRR Jaidev Goel, Pablo Moriano, Ramakrishnan Kannan, Yulia R. Gel
2025	B	`conf`	Fast Active-Set Thresholding Method for Nonnegative Least Squares. IEEE Big Data Benjamin Cobb, Ramakrishnan Kannan, Konstantin Pieper, Piyush Sao, Yongseok Soh, Jee W. Choi, Richard W. Vuduc, Haesun Park
2025	—	`conf`	Fragile Earth: Innovative AI For Climate Risk Mitigation. KDD (2) Emre Eftelioglu, Naoki Abe, Ramakrishnan Kannan, Yuzhou Chen, Kathleen Buckingham, Auroop R. Ganguly, James Hodson
2025	B	`conf`	Scalable and Efficient Tensor Message-Passing Hypergraph Neural Networks. IEEE Big Data Syed Ahmed Taimoor, Shruti Shivakumar, Xiaorui Liu, Ramakrishnan Kannan, Jiajia Li
2025	A	`conf`	SymProp: Scaling Sparse Symmetric Tucker Decomposition via Symmetry Propagation. IPDPS Zecheng Li, Shruti Shivakumar, Jiajia Li, Ramakrishnan Kannan
2024	B	`conf`	Accelerated Constrained Sparse Tensor Factorization on Massively Parallel Architectures. ICPP Yongseok Soh, Ramakrishnan Kannan, Piyush Sao, Jee W. Choi
2024	B	`conf`	Counter Data Paucity through Adversarial Invariance Encoding: A Case Study on Modeling Battery Thermal Runaway. IEEE Big Data Anika Tabassum, Srikanth Allu, Ramakrishnan Kannan, Nikhil Muralidhar
2024	A*	`conf`	Fragile Earth: Generative and Foundational Models for Sustainable Development. KDD Emre Eftelioglu, Bistra Dilkina, Naoki Abe, Ramakrishnan Kannan, Yuzhou Chen, Yulia R. Gel, Kathleen Buckingham, Auroop R. Ganguly, James Hodson, Jiafu Mao
2024	B	`conf`	On Rank Selection for Nonnegative Matrix Factorization. IEEE Big Data Srinivas Eswar, Koby Hayashi, Benjamin Cobb, Ramakrishnan Kannan, Grey Ballard, Richard W. Vuduc, Haesun Park
2024	A*	`conf`	Reinforcement Learning as a Parsimonious Alternative to Prediction Cascades: A Case Study on Image Segmentation. AAAI Bharat Srikishan, Anika Tabassum, Srikanth Allu, Ramakrishnan Kannan, Nikhil Muralidhar
2024	J	`jnl`	Reinforcement Learning as a Parsimonious Alternative to Prediction Cascades: A Case Study on Image Segmentation. CoRR Bharat Srikishan, Anika Tabassum, Srikanth Allu, Ramakrishnan Kannan, Nikhil Muralidhar
2024	J	`jnl`	Robustness of graph embedding methods for community detection. CoRR Zhi-Feng Wei, Pablo Moriano, Ramakrishnan Kannan
2023	B	`conf`	A Deep Learning Pipeline for Optimizing Large-scale Phase Field Simulations. IEEE Big Data Ramakrishnan Kannan, Cristina Garcia-Cardona, Balasubramaniam Radhakrishnan, Sudip K. Seal
2023	—	`conf`	A Parallel Machine Learning Workflow for Neutron Scattering Data Analysis. IPDPS Workshops Tianle Wang, Sudip K. Seal, Ramakrishnan Kannan, Cristina Garcia-Cardona, Thomas Proffen, Shantenu Jha
2023	A	`conf`	Distributed-Memory Parallel JointNMF. ICS Srinivas Eswar, Benjamin Cobb, Koby Hayashi, Ramakrishnan Kannan, Grey Ballard, Richard W. Vuduc, Haesun Park
2023	A*	`conf`	Fragile Earth: AI for Climate Sustainability - From Wildfire Disaster Management to Public Health and Beyond. KDD Naoki Abe, Kathleen Buckingham, Yuzhou Chen, Bistra Dilkina, Emre Eftelioglu, Auroop R. Ganguly, Yulia R. Gel, James Hodson, Ramakrishnan Kannan, Huikyo Lee, Jiafu Mao, Rose Yu
2023	C	`conf`	Optimizing Communication in 2D Grid-Based MPI Applications at Exascale. EuroMPI Hao Lu, Piyush Sao, Michael A. Matheson, Ramakrishnan Kannan, Feiyi Wang, Thomas E. Potok
2023	J	`jnl`	Sparse Symmetric Format for Tucker Decomposition. IEEE Trans. Parallel Distributed Syst. Shruti Shivakumar, Jiajia Li, Ramakrishnan Kannan, Srinivas Aluru
2022	A	`conf`	Exaflops Biomedical Knowledge Graph Analytics. SC Ramakrishnan Kannan, Piyush Sao, Hao Lu, Jakub Kurzak, Gundolf Schenk, Yongmei Shi, Seung-Hwan Lim, Sharat Israni, Vijay Thakkar, Guojing Cong, Robert M. Patton, Sergio E. Baranzini, Richard W. Vuduc, Thomas E. Potok
2022	A*	`conf`	Fragile Earth: AI for Climate Mitigation, Adaptation, and Environmental Justice. KDD Naoki Abe, Kathleen Buckingham, Bistra Dilkina, Emre Eftelioglu, Auroop R. Ganguly, James Hodson, Ramakrishnan Kannan, Rose Yu
2022	B	`conf`	MatPhase: Material phase prediction for Li-ion Battery Reconstruction using Hierarchical Curriculum Learning. IEEE Big Data Anika Tabassum, Nikhil Muralidhar, Ramakrishnan Kannan, Srikanth Allu
2021	J	`jnl`	Co-design Center for Exascale Machine Learning Technologies (ExaLearn). Int. J. High Perform. Comput. Appl. Francis J. Alexander, James Ang, Jenna A. Bilbrey, Jan Balewski, Tiernan Casey, Ryan Chard, Jong Choi, Sutanay Choudhury, Bert J. Debusschere, Anthony M. DeGennaro, Nikoli Dryden, J. Austin Ellis, Ian T. Foster, Cristina Garcia-Cardona, Sayan Ghosh, Peter Harrington, Yunzhi Huang, Shantenu Jha, Travis Johnston, Ai Kagawa, Ramakrishnan Kannan, Neeraj Kumar, Zhengchun Liu, Naoya Maruyama, Satoshi Matsuoka, Erin McCarthy, Jamaludin Mohd-Yusof, Peter Nugent, Yosuke Oyama, Thomas Proffen, David Pugmire, Sivasankaran Rajamanickam, Vinay Ramakrishnaiah, Malachi Schram, Sudip K. Seal, Ganesh Sivaraman, Christine Sweeney, Li Tan, Rajeev Thakur, Brian Van Essen, Logan T. Ward, Paul M. Welch, Michael Wolf, Sotiris S. Xantheas, Kevin G. Yager, Shinjae Yoo, Byung-Jun Yoon
2021	—	`conf`	Co-design of Advanced Architectures for Graph Analytics using Machine Learning. IPDPS Workshops Kuldeep R. Kurte, Neena Imam, Ramakrishnan Kannan, S. M. Shamimul Hasan, Srikanth B. Yoginath
2021	—	`conf`	Design Space Exploration of Emerging Memory Technologies for Machine Learning Applications. IPDPS Workshops S. M. Shamimul Hasan, Neena Imam, Ramakrishnan Kannan, Srikanth B. Yoginath, Kuldeep R. Kurte
2021	—	`conf`	Efficient Parallel Sparse Symmetric Tucker Decomposition for High-Order Tensors. ACDA Shruti Shivakumar, Jiajia Li, Ramakrishnan Kannan, Srinivas Aluru
2021	A*	`conf`	Fragile Earth: Accelerating Progress towards Equitable Sustainability. KDD Naoki Abe, Kathleen Buckingham, Bistra Dilkina, Emre Eftelioglu, Auroop R. Ganguly, James Hodson, Ramakrishnan Kannan
2021	J	`jnl`	ORCA: Outlier detection and Robust Clustering for Attributed graphs. J. Glob. Optim. Srinivas Eswar, Ramakrishnan Kannan, Richard W. Vuduc, Haesun Park
2021	J	`jnl`	PLANC: Parallel Low-rank Approximation with Nonnegativity Constraints. ACM Trans. Math. Softw. Srinivas Eswar, Koby Hayashi, Grey Ballard, Ramakrishnan Kannan, Michael A. Matheson, Haesun Park
2021	J	`jnl`	Randomized Algorithms for Scientific Computing (RASC). CoRR Aydin Buluç, Tamara G. Kolda, Stefan M. Wild, Mihai Anitescu, Anthony M. DeGennaro, John Jakeman, Chandrika Kamath, Ramakrishnan Kannan, Miles E. Lopes, Per-Gunnar Martinsson, Kary L. Myers, Jelani Nelson, Juan M. Restrepo, C. Seshadhri, Draguna L. Vrabie, Brendt Wohlberg, Stephen J. Wright, Chao Yang, Peter Zwart
2021	A	`conf`	Scalable All-pairs Shortest Paths for Huge Graphs on Multi-GPU Clusters. HPDC Piyush Sao, Hao Lu, Ramakrishnan Kannan, Vijay Thakkar, Richard W. Vuduc, Thomas E. Potok
2021	—	`conf`	Science-Guided Machine Learning for Wall-Modeled Large Eddy Simulation. IEEE BigData Rathakrishnan Bhaskaran, Ramakrishnan Kannan, Brian Barr, Stephan Priebe
2021	B	`conf`	Smoky Mountain Data Challenge 2021: An Open Call to Solve Scientific Data Challenges Using Advanced Data Analytics and Edge Computing. SMC Pravallika Devineni, Panchapakesan Ganesh, Nikhil Sivadas, Abhijeet Dhakane, Ketan Maheshwari, Drahomira Herrmannova, Ramakrishnan Kannan, Seung-Hwan Lim, Thomas E. Potok, Jordan B. Chipka, Priyantha Mudalige, Mark Coletti, Sajal Dash, Arnab Kumar Paul, Sarp Oral, Feiyi Wang, Bill Kay, Melissa R. Allen-Dumas, Christa Brelsford, Joshua R. New, Andy Berres, Kuldeep R. Kurte, Jibonananda Sanyal, Levi Sweet, Chathika Gunaratne, Maxim A. Ziatdinov, Rama K. Vasudevan, Sergei V. Kalinin, Olivera Kotevska, Jean C. Bilheux, Hassina Z. Bilheux, Garrett E. Granroth, Thomas Proffen, Rick Riedel, Peter F. Peterson, Shruti R. Kulkarni, Kyle P. Kelley, Stephen Jesse, Maryam Parsa
2021	—	`conf`	Sparse Binary Matrix-Vector Multiplication on Neuromorphic Computers. IPDPS Workshops Catherine D. Schuman, Bill Kay, Prasanna Date, Ramakrishnan Kannan, Piyush Sao, Thomas E. Potok
2021	—	`conf`	Visual Understanding of COVID-19 Knowledge Graph for Predictive Analysis. IEEE BigData Seung-Hwan Lim, Junghoon Chae, Guojing Cong, Drahomira Herrmannova, Robert M. Patton, Ramakrishnan Kannan, Thomas E. Potok
2020	B	`conf`	A supernodal all-pairs shortest path algorithm. PPoPP Piyush Sao, Ramakrishnan Kannan, Prasun Gera, Richard W. Vuduc
2020	J	`jnl`	Distributed Bayesian optimization of deep reinforcement learning algorithms. J. Parallel Distributed Comput. M. Todd Young, Jacob D. Hinkle, Ramakrishnan Kannan, Arvind Ramanathan
2020	A	`conf`	Distributed-memory parallel symmetric nonnegative matrix factorization. SC Srinivas Eswar, Koby Hayashi, Grey Ballard, Ramakrishnan Kannan, Richard W. Vuduc, Haesun Park
2020	Misc	`conf`	Parallel Hierarchical Clustering using Rank-Two Nonnegative Matrix Factorization. HiPC Lawton Manning, Grey Ballard, Ramakrishnan Kannan, Haesun Park
2020	A	`conf`	Scalable knowledge graph analytics at 136 petaflop/s. SC Ramakrishnan Kannan, Piyush Sao, Hao Lu, Drahomira Herrmannova, Vijay Thakkar, Robert M. Patton, Richard W. Vuduc, Thomas E. Potok
2020	—	`conf`	Structure Prediction from Neutron Scattering Profiles: A Data Sciences Approach. IEEE BigData Cristina Garcia-Cardona, Ramakrishnan Kannan, Travis Johnston, Thomas Proffen, Sudip K. Seal
2020	B	`conf`	Tensorized Feature Spaces for Feature Explosion. ICPR Ravdeep S. Pasricha, Pravallika Devineni, Evangelos E. Papalexakis, Ramakrishnan Kannan
2019	—	`conf`	A Scalable Graph Analytics Framework for Programming with Big Data in R (pbdR). IEEE BigData S. M. Shamimul Hasan, Drew Schmidt, Ramakrishnan Kannan, Neena Imam
2019	A	`conf`	A communication-avoiding 3D sparse triangular solver. ICS Piyush Sao, Ramakrishnan Kannan, Xiaoye Sherry Li, Richard W. Vuduc
2019	J	`jnl`	INDEX-db: The Indian Exome Reference Database (Phase I). J. Comput. Biol. Husayn Ahmed P., Vidhya V., Ravi Prabhakar More, Biju Viswanath, Sanjeev Jain, Mahendra S. Rao, Odity Mukherjee, Naren P. Rao, Janardhanan C. Narayanaswamy, Palanimuthu T. Sivakumar, Arun Kandaswamy, Muralidharan Kesavan, Urvakhsh-Meherwan Mehta, Ganesan Venkatasubramanian, John P. John, Meera Purushottam, Ramakrishnan Kannan, Bhupesh Mehta, Thennarasu Kandavel, B. Binukumar, Jitender Saini, Deepak Jayarajan, A. Shyamsundar, Sydney Moirangthem, Kumar G. Vijay, Jagadisha Thirthalli, Prabha S. Chandra, Bangalore N. Gangadhar, Pratima Murthy, Mitradas M. Panicker, Upinder S. Bhalla, Sumantra Chattarji, Vivek Benegal, Mathew Varghese, Janardhan Y. C. Reddy, Padinjat Raghu
2019	—	`conf`	Learning to Predict Material Structure from Neutron Scattering Data. IEEE BigData Cristina Garcia-Cardona, Ramakrishnan Kannan, Travis Johnston, Thomas Proffen, Katharine Page, Sudip K. Seal
2019	—	`conf`	Multifrontal Non-negative Matrix Factorization. PPAM (1) Piyush Sao, Ramakrishnan Kannan
2019	J	`jnl`	PLANC: Parallel Low Rank Approximation with Non-negativity Constraints. CoRR Srinivas Eswar, Koby Hayashi, Grey Ballard, Ramakrishnan Kannan, Michael A. Matheson, Haesun Park
2018	—	`conf`	A Flexible-blocking Based Approach for Performance Tuning of Matrix Multiplication Routines for Large Matrices with Edge Cases. IEEE BigData Md Mosharaf Hossain, Thomas M. Hines, Sheikh K. Ghafoor, Sheikh Rabiul Islam, Ramakrishnan Kannan, Sreenivas R. Sukumar
2018	C	`conf`	A Heterogeneity-Aware Task Scheduler for Spark. CLUSTER Luna Xu, Ali Raza Butt, Seung-Hwan Lim, Ramakrishnan Kannan
2018	C	`conf`	HyperSpace: Distributed Bayesian Hyperparameter Optimization. SBAC-PAD M. Todd Young, Jacob D. Hinkle, Arvind Ramanathan, Ramakrishnan Kannan
2018	J	`jnl`	MPI-FAUN: An MPI-Based Framework for Alternating-Updating Nonnegative Matrix Factorization. IEEE Trans. Knowl. Data Eng. Ramakrishnan Kannan, Grey Ballard, Haesun Park
2018	Misc	`conf`	Parallel Nonnegative CP Decomposition of Dense Tensors. HiPC Grey Ballard, Koby Hayashi, Ramakrishnan Kannan
2018	J	`jnl`	Parallel Nonnegative CP Decomposition of Dense Tensors. CoRR Grey Ballard, Koby Hayashi, Ramakrishnan Kannan
2018	B	`conf`	Partitioning and Communication Strategies for Sparse Non-negative Matrix Factorization. ICPP Oguz Kaya, Ramakrishnan Kannan, Grey Ballard
2018	A*	`conf`	TopicOnTiles: Tile-Based Spatio-Temporal Event Analytics via Exclusive Topic Modeling on Social Media. CHI Minsuk Choi, Dear Sungbok Shin, Jinho Choi, Scott Langevin, Christopher Bethune, Philippe Horne, Nathan Kronenfeld, Ramakrishnan Kannan, Barry L. Drake, Haesun Park, Jaegul Choo
2018	J	`jnl`	VisIRR: A Visual Analytics System for Information Retrieval and Recommendation for Large-Scale Document Data. ACM Trans. Knowl. Discov. Data Jaegul Choo, Hannah Kim, Edward Clarkson, Zhicheng Liu, Changhyun Lee, Fuxin Li, Hanseung Lee, Ramakrishnan Kannan, Charles D. Stolper, John T. Stasko, Haesun Park
2017	J	`jnl`	CBIR System Based On Prediction Errors. J. Inf. Sci. Eng. C. Eswaran, Ramakrishnan Kannan, A. Mohamed Uvaze Ahamed
2017	J	`jnl`	Outlier Detection for Text Data : An Extended Version. CoRR Ramakrishnan Kannan, Hyenkyun Woo, Charu C. Aggarwal, Haesun Park
2017	A	`conf`	Outlier Detection for Text Data. SDM Ramakrishnan Kannan, Hyenkyun Woo, Charu C. Aggarwal, Haesun Park
2017	A*	`conf`	STExNMF: Spatio-Temporally Exclusive Topic Discovery for Anomalous Event Detection. ICDM Dear Sungbok Shin, Minsuk Choi, Jinho Choi, Scott Langevin, Christopher Bethune, Philippe Horne, Nathan Kronenfeld, Ramakrishnan Kannan, Barry L. Drake, Haesun Park, Jaegul Choo
2017	—	`conf`	Scaling up data-parallel analytics platforms: Linear algebraic operation cases. IEEE BigData Luna Xu, Seung-Hwan Lim, Min Li, Ali Raza Butt, Ramakrishnan Kannan
2016	B	`conf`	A high-performance parallel algorithm for nonnegative matrix factorization. PPoPP Ramakrishnan Kannan, Grey Ballard, Haesun Park
2016	—	`conf`	FatMan vs. LittleBoy: Scaling Up Linear Algebraic Operations in Scale-Out Data Platforms. PDSW-DISCS@SC Luna Xu, Seung-Hwan Lim, Ali Raza Butt, Sreenivas R. Sukumar, Ramakrishnan Kannan
2016	—	`conf`	Kernels for scalable data analysis in science: Towards an architecture-portable future. IEEE BigData Sreenivas R. Sukumar, Ramakrishnan Kannan, Seung-Hwan Lim, Michael A. Matheson
2016	J	`jnl`	MPI-FAUN: An MPI-Based Framework for Alternating-Updating Nonnegative Matrix Factorization. CoRR Ramakrishnan Kannan, Grey Ballard, Haesun Park
2016	—	`conf`	Mini-apps for high performance data analysis. IEEE BigData Sreenivas R. Sukumar, Michael A. Matheson, Ramakrishnan Kannan, Seung-Hwan Lim
2016	—	`—`	Scalable and distributed constrained low rank approximations. Ramakrishnan Kannan
2015	J	`jnl`	A High-Performance Parallel Algorithm for Nonnegative Matrix Factorization. CoRR Ramakrishnan Kannan, Grey Ballard, Haesun Park
2015	J	`jnl`	Behavioral clusters in dynamic graphs. Parallel Comput. James P. Fairbanks, Ramakrishnan Kannan, Haesun Park, David A. Bader
2014	Misc	`conf`	A Dynamic Data Driven Application System for Vehicle Tracking. ICCS Richard Fujimoto, Angshuman Guin, Michael Hunter, Haesun Park, Gaurav Kanitkar, Ramakrishnan Kannan, Michael Milholen, Sabra Neal, Philip Pecher
2014	J	`jnl`	Bounded matrix factorization for recommender system. Knowl. Inf. Syst. Ramakrishnan Kannan, Mariya Ishteva, Haesun Park
2014	—	`conf`	VisIRR: Visual analytics for information retrieval and recommendation with large-scale document data. IEEE VAST Jaegul Choo, Changhyun Lee, Hannah Kim, Hanseung Lee, Zhicheng Liu, Ramakrishnan Kannan, Charles D. Stolper, John T. Stasko, Barry L. Drake, Haesun Park
2012	A*	`conf`	Bounded Matrix Low Rank Approximation. ICDM Ramakrishnan Kannan, Mariya Ishteva, Haesun Park
2011	A	`conf`	Fast Rule Mining Over Multi-Dimensional Windows. SDM Mahashweta Das, Deepak Padmanabhan, Prasad Deshpande, Ramakrishnan Kannan
2011	A*	`conf`	NIMBLE: a toolkit for the implementation of parallel data mining and machine learning algorithms on mapreduce. KDD Amol Ghoting, Prabhanjan Kambadur, Edwin P. D. Pednault, Ramakrishnan Kannan
2009	Misc	`conf`	CRM Analytics Framework. COMAD Joseph P. Bigus, Upendra Chitnis, Prasad M. Deshpande, Ramakrishnan Kannan, Mukesh K. Mohania, Sumit Negi, Deepak Padmanabhan, Edwin P. D. Pednault, Soujanya Soni, Bipen K. Telkar, Brian F. White
2009	B	`conf`	Nash Bargaining Based Ad Networks for Sponsored Search Auctions. CEC Ramakrishnan Kannan, Dinesh Garg, Karthik Subbian, Y. Narahari
2008	—	`conf`	A Nash bargaining approach to retention enhancing bid optimization in sponsored search auctions with discrete bids. CASE Ramakrishnan Kannan, Dinesh Garg, Karthik Subbian, Yadati Narahari
2007	C	`conf`	Incentive Compatible Mechanisms for Group Ticket Allocation in Software Maintenance Services. APSEC Karthik Subbian, Ramakrishnan Kannan, Raghav Kumar Gautam, Y. Narahari