Ananth Kalyanaraman

126 papers A* 5A 15B 5C 4Misc 7Journal 51Unranked 36

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Density-reducing Jaccard estimators for sketch-based long read applications. BMC Bioinform. Tazin Rahman, Ananth Kalyanaraman
2026	A*	`conf`	ForeSWE: Forecasting Snow-Water Equivalent with an Uncertainty-Aware Attention Model. AAAI Krishu K. Thapa, Supriya Savalkar, Bhupinderjeet Singh, Trong Nghia Hoang, Kirti Rajagopalan, Ananth Kalyanaraman
2025	J	`jnl`	Advancing AI in Agriculture through Large-Scale Collaborative Research. Commun. ACM Vikram S. Adve, Steve Brown, Alan Fern, Baskar Ganapathysubramanian, Ananth Kalyanaraman, Shashi Shekhar, Ilias Tagkopoulos, Jessica M. Wedow
2025	J	`jnl`	An Efficient Parallel Sketch-Based Algorithmic Workflow for Mapping Long Reads. IEEE Trans. Comput. Biol. Bioinform. Tazin Rahman, Oieswarya Bhowmik, Ananth Kalyanaraman
2025	A	`conf`	DIMPLES: Distributed Influence Maximization for Pandemic pLanning on Exascale Systems. ICS Marco Minutoli, Reece Neff, Naw Safrin Sattar, Hao Lu, John Feo, Henning S. Mortveit, Anil Vullikanti, Dawen Xie, Mandy L. Wilson, Gregor von Laszewski, Parantapa Bhattacharya, S. M. Ferdous, Ananth Kalyanaraman, Michela Becchi, Madhav V. Marathe, Mahantesh Halappanavar
2025	J	`jnl`	Editor's note. J. Parallel Distributed Comput. Ananth Kalyanaraman
2025	J	`jnl`	ForeSWE: Forecasting Snow-Water Equivalent with an Uncertainty-Aware Attention Model. CoRR Krishu K. Thapa, Supriya Savalkar, Bhupinderjeet Singh, Trong Nghia Hoang, Kirti Rajagopalan, Ananth Kalyanaraman
2025	J	`jnl`	GreediRIS: Scalable influence maximization using distributed streaming maximum cover. J. Parallel Distributed Comput. Reet Barik, Wade Cappa, S. M. Ferdous, Marco Minutoli, Mahantesh Halappanavar, Ananth Kalyanaraman
2025	J	`jnl`	HpT: Hybrid Acceleration of Spatio-Temporal Attention Model Training on Heterogeneous Manycore Architectures. IEEE Trans. Parallel Distributed Syst. Saiman Dahal, Pratyush Dhingra, Krishu K. Thapa, Partha Pratim Pande, Ananth Kalyanaraman
2025	A	`conf`	Message from the 2025 General Co-chairs. IPDPS Marco D. Santambrogio, Ananth Kalyanaraman
2025	—	`conf`	PhenoTracker: A machine learning model to track grape phenology. ICPP Workshops Nathan Balcarcel, Paola Pesantez-Cabrera, Kristen Goebel, Markus Keller, Lav R. Khot, Alan Fern, Ananth Kalyanaraman
2024	J	`jnl`	A Dataflow-Aware Network-on-Interposer for CNN Inferencing in the Presence of Defective Chiplets. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Harsh Sharma, Ümit Y. Ogras, Ananth Kalyanaraman, Partha Pratim Pande
2024	—	`conf`	A Multi-task Learning Approach for Predicting Spatio-temporal Patient Variables. BCB Kaniz Fatema Madhobi, Eric Lofgren, Ananth Kalyanaraman
2024	J	`jnl`	AgAID Institute - AI for agricultural labor and decision support. AI Mag. Alan Fern, Margaret Burnett, Joseph R. Davidson, Janardhan Rao Doppa, Paola Pesántez-Cabrera, Ananth Kalyanaraman
2024	J	`jnl`	An Integrated Epidemic Simulation Workflow for Submodular Intervention Strategies. CoRR Reet Barik, Marco Minutoli, Mahantesh Halappanavar, Ananth Kalyanaraman
2024	A*	`conf`	Attention-Based Models for Snow-Water Equivalent Prediction. AAAI Krishu K. Thapa, Bhupinderjeet Singh, Supriya Savalkar, Alan Fern, Kirti Rajagopalan, Ananth Kalyanaraman
2024	J	`jnl`	Correction: Maptcha: an efficient parallel workflow for hybrid genome scaffolding. BMC Bioinform. Oieswarya Bhowmik, Tazin Rahman, Ananth Kalyanaraman
2024	A	`conf`	FARe: Fault-Aware GNN Training on ReRAM-Based PIM Accelerators. DATE Pratyush Dhingra, Chukwufumnanya Ogbogu, Biresh Kumar Joardar, Janardhan Rao Doppa, Ananth Kalyanaraman, Partha Pratim Pande
2024	J	`jnl`	FARe: Fault-Aware GNN Training on ReRAM-based PIM Accelerators. CoRR Pratyush Dhingra, Chukwufumnanya Ogbogu, Biresh Kumar Joardar, Janardhan Rao Doppa, Ananth Kalyanaraman, Partha Pratim Pande
2024	A	`conf`	FuseIM: Fusing Probabilistic Traversals for Influence Maximization on Exascale Systems. ICS Reece Neff, Mostafa Eghbali Zarch, Marco Minutoli, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman, Michela Becchi
2024	J	`jnl`	GreediRIS: Scalable Influence Maximization using Distributed Streaming Maximum Cover. CoRR Reet Barik, Wade Cappa, S. M. Ferdous, Marco Minutoli, Mahantesh Halappanavar, Ananth Kalyanaraman
2024	—	`conf`	HiCOMB 2024 Preface and Committees. IPDPS (Workshops) Alba Cristina Magalhaes Alves de Melo, Ananth Kalyanaraman
2024	J	`jnl`	Maptcha: an efficient parallel workflow for hybrid genome scaffolding. BMC Bioinform. Oieswarya Bhowmik, Tazin Rahman, Ananth Kalyanaraman
2024	—	`conf`	Message from the 2024 Workshops Chair and Vice-chair. IPDPS (Workshops) Ananth Kalyanaraman, Suren Byna
2024	A*	`conf`	Streamflow Prediction with Uncertainty Quantification for Water Management: A Constrained Reasoning and Learning Approach. IJCAI Mohammed Amine Gharsallaoui, Bhupinderjeet Singh, Supriya Savalkar, Aryan Deshwal, Ananth Kalyanaraman, Kirti Rajagopalan, Janardhan Rao Doppa
2024	J	`jnl`	Streamflow Prediction with Uncertainty Quantification for Water Management: A Constrained Reasoning and Learning Approach. CoRR Mohammed Amine Gharsallaoui, Bhupinderjeet Singh, Supriya Savalkar, Aryan Deshwal, Yan Yan, Ananth Kalyanaraman, Kirti Rajagopalan, Janardhan Rao Doppa
2023	—	`conf`	An Efficient Parallel Sketch-based Algorithm for Mapping Long Reads to Contigs. IPDPS Workshops Tazin Rahman, Oieswarya Bhowmik, Ananth Kalyanaraman
2023	J	`jnl`	Attention-based Models for Snow-Water Equivalent Prediction. CoRR Krishu K. Thapa, Bhupinderjeet Singh, Supriya Savalkar, Alan Fern, Kirti Rajagopalan, Ananth Kalyanaraman
2023	J	`jnl`	Florets for Chiplets: Data Flow-aware High-Performance and Energy-efficient Network-on-Interposer for CNN Inference Tasks. ACM Trans. Embed. Comput. Syst. Harsh Sharma, Lukas Pfromm, Rasit Onur Topaloglu, Janardhan Rao Doppa, Ümit Y. Ogras, Ananth Kalyanaraman, Partha Pratim Pande
2023	J	`jnl`	Fused Breadth-First Probabilistic Traversals on Distributed GPU Systems. CoRR Reece Neff, Mostafa Eghbali Zarch, Marco Minutoli, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman, Michela Becchi
2023	A	`conf`	GraphIte: Accelerating Iterative Graph Algorithms on ReRAM Architectures via Approximate Computing. DATE Dwaipayan Choudhury, Ananth Kalyanaraman, Partha Pande
2022	B	`conf`	HBMax: Optimizing Memory Efficiency for Parallel Influence Maximization on Multicore Architectures. PACT Xinyu Chen, Marco Minutoli, Jiannan Tian, Mahantesh Halappanavar, Ananth Kalyanaraman, Dingwen Tao
2022	J	`jnl`	HBMax: Optimizing Memory Efficiency for Parallel Influence Maximization on Multicore Architectures. CoRR Xinyu Chen, Marco Minutoli, Jiannan Tian, Mahantesh Halappanavar, Ananth Kalyanaraman, Dingwen Tao
2022	J	`jnl`	High-Performance and Energy-Efficient 3D Manycore GPU Architecture for Accelerating Graph Analytics. ACM J. Emerg. Technol. Comput. Syst. Dwaipayan Choudhury, Aravind Sukumaran-Rajam, Ananth Kalyanaraman, Partha Pratim Pande
2022	Misc	`conf`	IMpart: A Partitioning-based Parallel Approach to Accelerate Influence Maximization. HIPC Reet Barik, Marco Minutoli, Mahantesh Halappanavar, Ananth Kalyanaraman
2022	A*	`conf`	Scalable and Memory-Efficient Algorithms for Controlling Networked Epidemic Processes Using Multiplicative Weights Update Method. IJCAI Prathyush Sambaturu, Marco Minutoli, Mahantesh Halappanavar, Ananth Kalyanaraman, Anil Vullikanti
2022	J	`jnl`	Software/Hardware Co-design of 3D NoC-based GPU Architectures for Accelerated Graph Computations. ACM Trans. Design Autom. Electr. Syst. Dwaipayan Choudhury, Reet Barik, Aravind Sukumaran-Rajam, Ananth Kalyanaraman, Partha Pratim Pande
2022	J	`jnl`	Special report: The AgAID AI institute for transforming workforce and decision support in agriculture. Comput. Electron. Agric. Ananth Kalyanaraman, Margaret Burnett, Alan Fern, Lav R. Khot, Joshua Viers
2022	J	`jnl`	Towards scaling community detection on distributed-memory heterogeneous systems. Parallel Comput. Nitin Gawande, Sayan Ghosh, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman
2021	J	`jnl`	Delta-Screening: A Fast and Efficient Technique to Update Communities in Dynamic Graphs. IEEE Trans. Netw. Sci. Eng. Neda Zarayeneh, Ananth Kalyanaraman
2021	J	`jnl`	EXAGRAPH: Graph and combinatorial methods for enabling exascale applications. Int. J. High Perform. Comput. Appl. 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
2021	J	`jnl`	Hyppo-X: A Scalable Exploratory Framework for Analyzing Complex Phenomics Data. IEEE ACM Trans. Comput. Biol. Bioinform. Methun Kamruzzaman, Ananth Kalyanaraman, Bala Krishnamoorthy, Stefan Hey, Patrick S. Schnable
2021	J	`jnl`	PaKman: A Scalable Algorithm for Generating Genomic Contigs on Distributed Memory Machines. IEEE Trans. Parallel Distributed Syst. Priyanka Ghosh, Sriram Krishnamoorthy, Ananth Kalyanaraman
2021	J	`jnl`	Pheno-Mapper: An Interactive Toolbox for the Visual Exploration of Phenomics Data. CoRR Youjia Zhou, Methun Kamruzzaman, Patrick S. Schnable, Bala Krishnamoorthy, Ananth Kalyanaraman, Bei Wang
2021	—	`conf`	Pheno-mapper: an interactive toolbox for the visual exploration of phenomics data. BCB Youjia Zhou, Methun Kamruzzaman, Patrick S. Schnable, Bala Krishnamoorthy, Ananth Kalyanaraman, Bei Wang
2021	—	`conf`	Scalable topological data analysis for life science applications. CF Ananth Kalyanaraman
2021	A	`conf`	Single-node partitioned-memory for huge graph analytics: cost and performance trade-offs. SC Sayan Ghosh, Nathan R. Tallent, Marco Minutoli, Mahantesh Halappanavar, Ramesh Peri, Ananth Kalyanaraman
2020	A	`conf`	Preempt: scalable epidemic interventions using submodular optimization on multi-GPU systems. SC Marco Minutoli, Prathyush Sambaturu, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman, Anil Vullikanti
2020	—	`conf`	Vertex Reordering for Real-World Graphs and Applications: An Empirical Evaluation. IISWC Reet Barik, Marco Minutoli, Mahantesh Halappanavar, Nathan R. Tallent, Ananth Kalyanaraman
2020	A	`conf`	cuRipples: influence maximization on multi-GPU systems. ICS Marco Minutoli, Maurizio Drocco, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman
2019	A	`conf`	A Brief Survey of Algorithms, Architectures, and Challenges toward Extreme-scale Graph Analytics. DATE Ananth Kalyanaraman, Partha Pratim Pande
2019	J	`jnl`	A Fast and Efficient Incremental Approach toward Dynamic Community Detection. CoRR Neda Zarayeneh, Ananth Kalyanaraman
2019	—	`conf`	A Visual Analytics Framework for Analysis of Patient Trajectories. BCB Kaniz Fatema Madhobi, Methun Kamruzzaman, Ananth Kalyanaraman, Eric Lofgren, Rebekah Moehring, Bala Krishnamoorthy
2019	B	`conf`	A fast and efficient incremental approach toward dynamic community detection. ASONAM Neda Zarayeneh, Ananth Kalyanaraman
2019	J	`jnl`	Efficient Detection of Communities in Biological Bipartite Networks. IEEE ACM Trans. Comput. Biol. Bioinform. Paola Pesantez-Cabrera, Ananth Kalyanaraman
2019	A	`conf`	Exploring MPI Communication Models for Graph Applications Using Graph Matching as a Case Study. IPDPS Sayan Ghosh, Mahantesh Halappanavar, Ananth Kalyanaraman, Arif Khan, Assefaw H. Gebremedhin
2019	C	`conf`	Fast and Scalable Implementations of Influence Maximization Algorithms. CLUSTER Marco Minutoli, Mahantesh Halappanavar, Ananth Kalyanaraman, Arun V. Sathanur, Ryan S. McClure, Jason E. McDermott
2019	J	`jnl`	FastEtch: A Fast Sketch-Based Assembler for Genomes. IEEE ACM Trans. Comput. Biol. Bioinform. Priyanka Ghosh, Ananth Kalyanaraman
2019	J	`jnl`	Interesting paths in the mapper complex. J. Comput. Geom. Ananth Kalyanaraman, Methun Kamruzzaman, Bala Krishnamoorthy
2019	—	`conf`	Introduction to HiCOMB 2019. IPDPS Workshops Alba Cristina Magalhaes Alves de Melo, Ananth Kalyanaraman
2019	—	`conf`	NoC-enabled software/hardware co-design framework for accelerating NOCS Biresh Kumar Joardar, Priyanka Ghosh, Partha Pratim Pande, Ananth Kalyanaraman, Sriram Krishnamoorthy
2019	A	`conf`	PaKman: Scalable Assembly of Large Genomes on Distributed Memory Machines. IPDPS Priyanka Ghosh, Sriram Krishnamoorthy, Ananth Kalyanaraman
2019	—	`conf`	Scaling and Quality of Modularity Optimization Methods for Graph Clustering. HPEC Sayan Ghosh, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman
2018	—	`ed.`	2018 Eleventh International Conference on Contemporary Computing, IC3 2018, Noida, India, August 2-4, 2018 IC3 Srinivas Aluru, Ananth Kalyanaraman, Debajyoti Bera, Kishore Kothapalli, David Abramson, Ilkay Altintas, Sanjukta Bhowmick, Madhu Govindaraju, Smruti Ranjan Sarangi, Sushil K. Prasad, Steven Bogaerts, Vikas Saxena, Sanjay Goel
2018	J	`jnl`	Alignment-free clustering of large data sets of unannotated protein conserved regions using minhashing. BMC Bioinform. Armen Abnousi, Shira L. Broschat, Ananth Kalyanaraman
2018	—	`conf`	Detecting Divergent Subpopulations in Phenomics Data using Interesting Flares. BCB Methun Kamruzzaman, Ananth Kalyanaraman, Bala Krishnamoorthy
2018	A	`conf`	Distributed Louvain Algorithm for Graph Community Detection. IPDPS Sayan Ghosh, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman, Hao Lu, Daniel G. Chavarría-Miranda, Arif Khan, Assefaw Hadish Gebremedhin
2018	J	`jnl`	Guest Editorial: Advances in Parallel Graph Processing: Algorithms, Architectures, and Application Frameworks. IEEE Trans. Multi Scale Comput. Syst. Ananth Kalyanaraman, Mahantesh Halappanavar
2018	—	`conf`	MiniVite: A Graph Analytics Benchmarking Tool for Massively Parallel Systems. PMBS@SC Sayan Ghosh, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman, Assefaw H. Gebremedhin
2018	—	`conf`	Scalable Distributed Memory Community Detection Using Vite. HPEC Sayan Ghosh, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman, Assefaw H. Gebremedhin
2017	A*	`conf`	Accelerating Graph Community Detection with Approximate Updates via an Energy-Efficient NoC. DAC Karthi Duraisamy, Hao Lu, Partha Pratim Pande, Ananth Kalyanaraman
2017	J	`jnl`	Algorithms for Balanced Graph Colorings with Applications in Parallel Computing. IEEE Trans. Parallel Distributed Syst. Hao Lu, Mahantesh Halappanavar, Daniel G. Chavarría-Miranda, Assefaw Hadish Gebremedhin, Ajay Panyala, Ananth Kalyanaraman
2017	Misc	`conf`	Approximate Computing Techniques for Iterative Graph Algorithms. HiPC Ajay Panyala, Omer Subasi, Mahantesh Halappanavar, Ananth Kalyanaraman, Daniel G. Chavarría-Miranda, Sriram Krishnamoorthy
2017	—	`conf`	BigDF Introduction. HiPC Workshops Dinkar Sitaram, Ananth Kalyanaraman
2017	J	`jnl`	Interesting Paths in the Mapper. CoRR Ananth Kalyanaraman, Methun Kamruzzaman, Bala Krishnamoorthy
2017	—	`conf`	Scalable static and dynamic community detection using Grappolo. HPEC Mahantesh Halappanavar, Hao Lu, Ananth Kalyanaraman, Antonino Tumeo
2017	—	`ed.`	Tenth International Conference on Contemporary Computing, IC3 2017, Noida, India, August 10-12, 2017 IC3 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
2017	J	`jnl`	Toward A Scalable Exploratory Framework for Complex High-Dimensional Phenomics Data. CoRR Methun Kamruzzaman, Ananth Kalyanaraman, Bala Krishnamoorthy, Patrick S. Schnable
2016	—	`conf`	A Fast Sketch-based Assembler for Genomes. BCB Priyanka Ghosh, Ananth Kalyanaraman
2016	—	`conf`	Characterizing the Role of Environment on Phenotypic Traits using Topological Data Analysis. BCB Methun Kamruzzaman, Ananth Kalyanaraman, Bala Krishnamoorthy
2016	—	`conf`	Detecting Communities in Biological Bipartite Networks. BCB Paola Pesantez-Cabrera, Ananth Kalyanaraman
2016	J	`jnl`	Fast Uncovering of Graph Communities on a Chip: Toward Scalable Community Detection on Multicore and Manycore Platforms. Found. Trends Electron. Des. Autom. Ananth Kalyanaraman, Mahantesh Halappanavar, Daniel G. Chavarría-Miranda, Hao Lu, Karthi Duraisamy, Partha Pratim Pande
2016	—	`conf`	HiCOMB Introduction and Committees. IPDPS Workshops Srinivas Aluru, David A. Bader, Ananth Kalyanaraman, Jaroslaw Zola
2016	J	`jnl`	High-Performance and Energy-Efficient Network-on-Chip Architectures for Graph Analytics. ACM Trans. Embed. Comput. Syst. Karthi Duraisamy, Hao Lu, Partha Pratim Pande, Ananth Kalyanaraman
2016	B	`conf`	On the Impact of Widening Vector Registers on Sequence Alignment. ICPP Jeffrey Daily, Ananth Kalyanaraman, Sriram Krishnamoorthy, Bin Ren
2015	J	`jnl`	A work stealing based approach for enabling scalable optimal sequence homology detection. J. Parallel Distributed Comput. Jeff Daily, Ananth Kalyanaraman, Sriram Krishnamoorthy, Abhinav Vishnu
2015	—	`conf`	An alignment-free approach to cluster proteins using frequency of conserved k-mers. BCB Armen Abnousi, Shira L. Broschat, Ananth Kalyanaraman
2015	A	`conf`	Balanced Coloring for Parallel Computing Applications. IPDPS Hao Lu, Mahantesh Halappanavar, Daniel G. Chavarría-Miranda, Assefaw Hadish Gebremedhin, Ananth Kalyanaraman
2015	—	`conf`	HiCOMB 2015 Keynote and Invited Talks. IPDPS Workshops Ramesh Hariharan, Ananth Kalyanaraman, Michela Taufer, Trilce Estrada, Pietro Cicotti, Pavan Balaji
2015	Misc	`conf`	High performance and energy efficient wireless NoC-enabled multicore architectures for graph analytics. CASES Karthi Duraisamy, Hao Lu, Partha Pratim Pande, Ananth Kalyanaraman
2015	—	`conf`	Introduction to HiPC Workshop 2. HiPC Workshops Dinkar Sitaram, Ananth Kalyanaraman
2015	A	`conf`	On-chip network-enabled many-core architectures for computational biology applications. DATE Turbo Majumder, Partha Pratim Pande, Ananth Kalyanaraman
2015	—	`conf`	ParLearning Keynotes. IPDPS Workshops David A. Bader, Yihua Huang, Ananth Kalyanaraman
2015	J	`jnl`	Parallel heuristics for scalable community detection. Parallel Comput. Hao Lu, Mahantesh Halappanavar, Ananth Kalyanaraman
2014	Misc	`conf`	Design and Implementation of Kepler Workflows for BioEarth. ICCS Tristan Mullis, Mingliang Liu, Ananth Kalyanaraman, Joseph Vaughan, Christina Tague, Jennifer Adam
2014	J	`jnl`	Hardware Accelerators in Computational Biology: Application, Potential, and Challenges. IEEE Des. Test Turbo Majumder, Partha Pratim Pande, Ananth Kalyanaraman
2014	—	`conf`	HiCOMB Keynote and Invited Talks. IPDPS Workshops Stephen Larson, Ümit V. Çatalyürek, Ananth Kalyanaraman
2014	—	`conf`	Parallel Heuristics for Scalable Community Detection. IPDPS Workshops Hao Lu, Mahantesh Halappanavar, Ananth Kalyanaraman, Sutanay Choudhury
2014	J	`jnl`	Parallel Heuristics for Scalable Community Detection. CoRR Hao Lu, Mahantesh Halappanavar, Ananth Kalyanaraman
2014	J	`jnl`	Parallel algorithms for clustering biological graphs on distributed and shared memory architectures. Int. J. High Perform. Comput. Netw. Inna Rytsareva, Timothy Chapman, Ananth Kalyanaraman
2014	Misc	`conf`	Scaling graph community detection on the Tilera many-core architecture. HiPC Daniel G. Chavarría-Miranda, Mahantesh Halappanavar, Ananth Kalyanaraman
2014	J	`jnl`	Wireless NoC Platforms With Dynamic Task Allocation for Maximum Likelihood Phylogeny Reconstruction. IEEE Des. Test Turbo Majumder, Partha Pratim Pande, Ananth Kalyanaraman
2013	—	`conf`	BigLS - The 1 ICCABS Ananth Kalyanaraman, Jaroslaw Zola
2013	B	`conf`	Empirical Analysis of Space-Filling Curves for Scientific Computing Applications. ICPP Daryl R. DeFord, Ananth Kalyanaraman
2013	—	`conf`	GPU-Accelerated Protein Family Identification for Metagenomics. IPDPS Workshops Changjun Wu, Ananth Kalyanaraman
2013	J	`jnl`	High-throughput, energy-efficient network-on-chip-based hardware accelerators. Sustain. Comput. Informatics Syst. Turbo Majumder, Partha Pratim Pande, Ananth Kalyanaraman
2013	—	`conf`	Network-on-Chip with Long-Range Wireless Links for High-Throughput Scientific Computation. IPDPS Workshops Turbo Majumder, Partha Pratim Pande, Ananth Kalyanaraman
2013	—	`conf`	Scalable heuristics for clustering biological graphs. ICCABS Inna Rytsareva, Ananth Kalyanaraman, Kishori M. Konwar, Steven J. Hallam
2012	J	`jnl`	NoC-Based Hardware Accelerator for Breakpoint Phylogeny. IEEE Trans. Computers Turbo Majumder, Souradip Sarkar, Partha Pratim Pande, Ananth Kalyanaraman
2012	J	`jnl`	On-Chip Network-Enabled Multicore Platforms Targeting Maximum Likelihood Phylogeny Reconstruction. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Turbo Majumder, Michael Edward Borgens, Partha Pratim Pande, Ananth Kalyanaraman
2012	Misc	`conf`	Proteotyping of Microbial Communities by Optimization of Tandem Mass Spectrometry Data Interpretation. Pacific Symposium on Biocomputing Alys Hugo, Douglas J. Baxter, William R. Cannon, Ananth Kalyanaraman, Gaurav Ramesh Kulkarni, Stephen J. Callister
2012	Misc	`conf`	Towards scalable optimal sequence homology detection. HiPC Jeff Daily, Sriram Krishnamoorthy, Ananth Kalyanaraman
2012	J	`jnl`	pGraph: Efficient Parallel Construction of Large-Scale Protein Sequence Homology Graphs. IEEE Trans. Parallel Distributed Syst. Changjun Wu, Ananth Kalyanaraman, William R. Cannon
2011	C	`conf`	Accelerating Maximum Likelihood Based Phylogenetic Kernels Using Network-on-Chip. SBAC-PAD Turbo Majumder, Partha Pratim Pande, Ananth Kalyanaraman
2011	—	`conf`	An OpenMP algorithm and implementation for clustering biological graphs. IA3@SC Timothy Chapman, Ananth Kalyanaraman
2011	—	`ch.`	Genome Assembly. Encyclopedia of Parallel Computing Ananth Kalyanaraman
2011	—	`conf`	HiCOMB Introduction. IPDPS Workshops Ananth Kalyanaraman, Srinivas Aluru, David A. Bader
2011	J	`jnl`	MapReduce implementation of a hybrid spectral library-database search method for large-scale peptide identification. Bioinform. Ananth Kalyanaraman, William R. Cannon, Benjamin Latt, Douglas J. Baxter
2010	B	`conf`	A Scalable Parallel Algorithm for Large-Scale Protein Sequence Homology Detection. ICPP Changjun Wu, Ananth Kalyanaraman, William R. Cannon
2010	—	`conf`	An optimized NoC architecture for accelerating TSP kernels in breakpoint median problem. ASAP Turbo Majumder, Souradip Sarkar, Partha Pratim Pande, Ananth Kalyanaraman
2010	C	`conf`	Hardware accelerators for biocomputing: A survey. ISCAS Souradip Sarkar, Turbo Majumder, Ananth Kalyanaraman, Partha Pratim Pande
2010	J	`jnl`	Network-on-Chip Hardware Accelerators for Biological Sequence Alignment. IEEE Trans. Computers Souradip Sarkar, Gaurav Ramesh Kulkarni, Partha Pratim Pande, Ananth Kalyanaraman
2009	—	`conf`	A Scalable Parallel Approach for Peptide Identification from Large-Scale Mass Spectrometry Data. ICPP Workshops Gaurav Ramesh Kulkarni, Ananth Kalyanaraman, William R. Cannon, Douglas J. Baxter
2009	—	`conf`	DNAjig: A New Approach for Building DNA Nanostructures. BIBM Md. Muksitul Haque, Ananth Kalyanaraman, Amit Dhingra, Nehal Abu-Lail, Kaori Graybeal
2008	A	`conf`	An efficient parallel approach for identifying protein families in large-scale metagenomic data sets. SC Changjun Wu, Ananth Kalyanaraman
2008	C	`conf`	An information theoretic approach for the discovery of irregular and repetitive patterns in genomic data. CIBCB Willard Davis, Ananth Kalyanaraman, Diane J. Cook