Ananth Kalyanaraman

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 66

Top Topics

Distributed Memory

Influence Maximization

Parallel Computing

Top Venues

IPDPS Workshops

Publications

Pratyush Dhingra, Chukwufumnanya Ogbogu, Biresh Kumar Joardar, Janardhan Rao Doppa, Ananth Kalyanaraman, Partha Pratim Pande
FARe: Fault-Aware GNN Training on ReRAM-based PIM Accelerators. CoRR (2024)
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 (2023)
Dwaipayan Choudhury, Ananth Kalyanaraman, Partha Pande
GraphIte: Accelerating Iterative Graph Algorithms on ReRAM Architectures via Approximate Computing. DATE (2023)
Tazin Rahman, Oieswarya Bhowmik, Ananth Kalyanaraman
An Efficient Parallel Sketch-based Algorithm for Mapping Long Reads to Contigs. IPDPS Workshops (2023)
Krishu K. Thapa, Bhupinderjeet Singh, Supriya Savalkar, Alan Fern, Kirti Rajagopalan, Ananth Kalyanaraman
Attention-based Models for Snow-Water Equivalent Prediction. CoRR (2023)
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)
Dwaipayan Choudhury, Reet Barik, Aravind Sukumaran-Rajam, Ananth Kalyanaraman, Partha Pratim Pande
Software/Hardware Co-design of 3D NoC-based GPU Architectures for Accelerated Graph Computations. ACM Trans. Design Autom. Electr. Syst. 27 (6) (2022)
Ananth Kalyanaraman, Margaret Burnett, Alan Fern, Lav R. Khot, Joshua Viers
Special report: The AgAID AI institute for transforming workforce and decision support in agriculture. Comput. Electron. Agric. 197 (2022)
Dwaipayan Choudhury, Aravind Sukumaran-Rajam, Ananth Kalyanaraman, Partha Pratim Pande
High-Performance and Energy-Efficient 3D Manycore GPU Architecture for Accelerating Graph Analytics. ACM J. Emerg. Technol. Comput. Syst. 18 (1) (2022)
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)
Nitin Gawande, Sayan Ghosh, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman
Towards scaling community detection on distributed-memory heterogeneous systems. Parallel Comput. 111 (2022)
Xinyu Chen, Marco Minutoli, Jiannan Tian, Mahantesh Halappanavar, Ananth Kalyanaraman, Dingwen Tao
HBMax: Optimizing Memory Efficiency for Parallel Influence Maximization on Multicore Architectures. CoRR (2022)
Reet Barik, Marco Minutoli, Mahantesh Halappanavar, Ananth Kalyanaraman
IMpart: A Partitioning-based Parallel Approach to Accelerate Influence Maximization. HIPC (2022)
Ananth Kalyanaraman
Scalable topological data analysis for life science applications. CF (2021)
Methun Kamruzzaman, Ananth Kalyanaraman, Bala Krishnamoorthy, Stefan Hey, Patrick S. Schnable
Hyppo-X: A Scalable Exploratory Framework for Analyzing Complex Phenomics Data. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (4) (2021)
Youjia Zhou, Methun Kamruzzaman, Patrick S. Schnable, Bala Krishnamoorthy, Ananth Kalyanaraman, Bei Wang
Pheno-Mapper: An Interactive Toolbox for the Visual Exploration of Phenomics Data. CoRR (2021)
Priyanka Ghosh, Sriram Krishnamoorthy, Ananth Kalyanaraman
PaKman: A Scalable Algorithm for Generating Genomic Contigs on Distributed Memory Machines. IEEE Trans. Parallel Distributed Syst. 32 (5) (2021)
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) (2021)
Neda Zarayeneh, Ananth Kalyanaraman
Delta-Screening: A Fast and Efficient Technique to Update Communities in Dynamic Graphs. IEEE Trans. Netw. Sci. Eng. 8 (2) (2021)
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)
Youjia Zhou, Methun Kamruzzaman, Patrick S. Schnable, Bala Krishnamoorthy, Ananth Kalyanaraman, Bei Wang
Pheno-mapper: an interactive toolbox for the visual exploration of phenomics data. BCB (2021)
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)
Marco Minutoli, Maurizio Drocco, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman
cuRipples: influence maximization on multi-GPU systems. ICS (2020)
Reet Barik, Marco Minutoli, Mahantesh Halappanavar, Nathan R. Tallent, Ananth Kalyanaraman
Vertex Reordering for Real-World Graphs and Applications: An Empirical Evaluation. IISWC (2020)
Sayan Ghosh, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman
Scaling and Quality of Modularity Optimization Methods for Graph Clustering. HPEC (2019)
Ananth Kalyanaraman, Methun Kamruzzaman, Bala Krishnamoorthy
Interesting paths in the mapper complex. J. Comput. Geom. 10 (1) (2019)
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)
Priyanka Ghosh, Sriram Krishnamoorthy, Ananth Kalyanaraman
PaKman: Scalable Assembly of Large Genomes on Distributed Memory Machines. IPDPS (2019)
Paola Pesantez-Cabrera, Ananth Kalyanaraman
Efficient Detection of Communities in Biological Bipartite Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (1) (2019)
Marco Minutoli, Mahantesh Halappanavar, Ananth Kalyanaraman, Arun V. Sathanur, Ryan Mcclure, Jason E. McDermott
Fast and Scalable Implementations of Influence Maximization Algorithms. CLUSTER (2019)
Ananth Kalyanaraman, Partha Pratim Pande
A Brief Survey of Algorithms, Architectures, and Challenges toward Extreme-scale Graph Analytics. DATE (2019)
Alba Cristina Magalhaes Alves de Melo, Ananth Kalyanaraman
Introduction to HiCOMB 2019. IPDPS Workshops (2019)
Biresh Kumar Joardar, Priyanka Ghosh, Partha Pratim Pande, Ananth Kalyanaraman, Sriram Krishnamoorthy
counting. NOCS (2019)
Priyanka Ghosh, Ananth Kalyanaraman
FastEtch: A Fast Sketch-Based Assembler for Genomes. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (4) (2019)
Neda Zarayeneh, Ananth Kalyanaraman
A fast and efficient incremental approach toward dynamic community detection. ASONAM (2019)
Kaniz Fatema Madhobi, Methun Kamruzzaman, Ananth Kalyanaraman, Eric Lofgren, Rebekah Moehring, Bala Krishnamoorthy
A Visual Analytics Framework for Analysis of Patient Trajectories. BCB (2019)
Neda Zarayeneh, Ananth Kalyanaraman
A Fast and Efficient Incremental Approach toward Dynamic Community Detection. CoRR (2019)
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)
Ananth Kalyanaraman, Mahantesh Halappanavar
Guest Editorial: Advances in Parallel Graph Processing: Algorithms, Architectures, and Application Frameworks. IEEE Trans. Multi Scale Comput. Syst. 4 (3) (2018)
Methun Kamruzzaman, Ananth Kalyanaraman, Bala Krishnamoorthy
Detecting Divergent Subpopulations in Phenomics Data using Interesting Flares. BCB (2018)
Armen Abnousi, Shira L. Broschat, Ananth Kalyanaraman
Alignment-free clustering of large data sets of unannotated protein conserved regions using minhashing. BMC Bioinform. 19 (1) (2018)
Sayan Ghosh, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman, Assefaw H. Gebremedhin
MiniVite: A Graph Analytics Benchmarking Tool for Massively Parallel Systems. PMBS@SC (2018)
Sayan Ghosh, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman, Assefaw H. Gebremedhin
Scalable Distributed Memory Community Detection Using Vite. HPEC (2018)
Mahantesh Halappanavar, Hao Lu, Ananth Kalyanaraman, Antonino Tumeo
Scalable static and dynamic community detection using Grappolo. HPEC (2017)
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) (2017)
Dinkar Sitaram, Ananth Kalyanaraman
BigDF Introduction. HiPC Workshops (2017)
Karthi Duraisamy, Hao Lu, Partha Pratim Pande, Ananth Kalyanaraman
Accelerating Graph Community Detection with Approximate Updates via an Energy-Efficient NoC. DAC (2017)
Ananth Kalyanaraman, Methun Kamruzzaman, Bala Krishnamoorthy
Interesting Paths in the Mapper. CoRR (2017)
Methun Kamruzzaman, Ananth Kalyanaraman, Bala Krishnamoorthy, Patrick S. Schnable
Toward A Scalable Exploratory Framework for Complex High-Dimensional Phenomics Data. CoRR (2017)
Ajay Panyala, Omer Subasi, Mahantesh Halappanavar, Ananth Kalyanaraman, Daniel G. Chavarría-Miranda, Sriram Krishnamoorthy
Approximate Computing Techniques for Iterative Graph Algorithms. HiPC (2017)
Paola Pesantez-Cabrera, Ananth Kalyanaraman
Detecting Communities in Biological Bipartite Networks. BCB (2016)
Jeffrey Daily, Ananth Kalyanaraman, Sriram Krishnamoorthy, Bin Ren
On the Impact of Widening Vector Registers on Sequence Alignment. ICPP (2016)
Srinivas Aluru, David A. Bader, Ananth Kalyanaraman, Jaroslaw Zola
HiCOMB Introduction and Committees. IPDPS Workshops (2016)
Methun Kamruzzaman, Ananth Kalyanaraman, Bala Krishnamoorthy
Characterizing the Role of Environment on Phenotypic Traits using Topological Data Analysis. BCB (2016)
Karthi Duraisamy, Hao Lu, Partha Pratim Pande, Ananth Kalyanaraman
High-Performance and Energy-Efficient Network-on-Chip Architectures for Graph Analytics. ACM Trans. Embed. Comput. Syst. 15 (4) (2016)
Priyanka Ghosh, Ananth Kalyanaraman
A Fast Sketch-based Assembler for Genomes. BCB (2016)
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) (2016)
Hao Lu, Mahantesh Halappanavar, Ananth Kalyanaraman
Parallel heuristics for scalable community detection. Parallel Comput. 47 (2015)
Ramesh Hariharan, Ananth Kalyanaraman, Michela Taufer, Trilce Estrada, Pietro Cicotti, Pavan Balaji
HiCOMB 2015 Keynote and Invited Talks. IPDPS Workshops (2015)
Turbo Majumder, Partha Pratim Pande, Ananth Kalyanaraman
On-chip network-enabled many-core architectures for computational biology applications. DATE (2015)
David A. Bader, Yihua Huang, Ananth Kalyanaraman
ParLearning Keynotes. IPDPS Workshops (2015)
Armen Abnousi, Shira L. Broschat, Ananth Kalyanaraman
An alignment-free approach to cluster proteins using frequency of conserved k-mers. BCB (2015)
Jeff Daily, Ananth Kalyanaraman, Sriram Krishnamoorthy, Abhinav Vishnu
A work stealing based approach for enabling scalable optimal sequence homology detection. J. Parallel Distributed Comput. (2015)
Dinkar Sitaram, Ananth Kalyanaraman
Introduction to HiPC Workshop 2. HiPC Workshops (2015)
Hao Lu, Mahantesh Halappanavar, Daniel G. Chavarría-Miranda, Assefaw Hadish Gebremedhin, Ananth Kalyanaraman
Balanced Coloring for Parallel Computing Applications. IPDPS (2015)
Karthi Duraisamy, Hao Lu, Partha Pratim Pande, Ananth Kalyanaraman
High performance and energy efficient wireless NoC-enabled multicore architectures for graph analytics. CASES (2015)
Stephen Larson, Ümit V. Çatalyürek, Ananth Kalyanaraman
HiCOMB Keynote and Invited Talks. IPDPS Workshops (2014)
Inna Rytsareva, Timothy Chapman, Ananth Kalyanaraman
Parallel algorithms for clustering biological graphs on distributed and shared memory architectures. Int. J. High Perform. Comput. Netw. 7 (4) (2014)
Turbo Majumder, Partha Pratim Pande, Ananth Kalyanaraman
Wireless NoC Platforms With Dynamic Task Allocation for Maximum Likelihood Phylogeny Reconstruction. IEEE Des. Test 31 (3) (2014)
Tristan Mullis, Mingliang Liu, Ananth Kalyanaraman, Joseph Vaughan, Christina Tague, Jennifer Adam
Design and Implementation of Kepler Workflows for BioEarth. ICCS (2014)
Hao Lu, Mahantesh Halappanavar, Ananth Kalyanaraman
Parallel Heuristics for Scalable Community Detection. CoRR (2014)
Daniel G. Chavarría-Miranda, Mahantesh Halappanavar, Ananth Kalyanaraman
Scaling graph community detection on the Tilera many-core architecture. HiPC (2014)
Turbo Majumder, Partha Pratim Pande, Ananth Kalyanaraman
Hardware Accelerators in Computational Biology: Application, Potential, and Challenges. IEEE Des. Test 31 (1) (2014)
Hao Lu, Mahantesh Halappanavar, Ananth Kalyanaraman, Sutanay Choudhury
Parallel Heuristics for Scalable Community Detection. IPDPS Workshops (2014)
Ananth Kalyanaraman, Jaroslaw Zola
International Workshop on Big Data in Life Sciences. ICCABS (2013)
Changjun Wu, Ananth Kalyanaraman
GPU-Accelerated Protein Family Identification for Metagenomics. IPDPS Workshops (2013)
Turbo Majumder, Partha Pratim Pande, Ananth Kalyanaraman
Network-on-Chip with Long-Range Wireless Links for High-Throughput Scientific Computation. IPDPS Workshops (2013)
Inna Rytsareva, Ananth Kalyanaraman, Kishori M. Konwar, Steven J. Hallam
Scalable heuristics for clustering biological graphs. ICCABS (2013)
Turbo Majumder, Partha Pratim Pande, Ananth Kalyanaraman
High-throughput, energy-efficient network-on-chip-based hardware accelerators. Sustain. Comput. Informatics Syst. 3 (1) (2013)
Daryl R. DeFord, Ananth Kalyanaraman
Empirical Analysis of Space-Filling Curves for Scientific Computing Applications. ICPP (2013)
Turbo Majumder, Souradip Sarkar, Partha Pratim Pande, Ananth Kalyanaraman
NoC-Based Hardware Accelerator for Breakpoint Phylogeny. IEEE Trans. Computers 61 (6) (2012)
Changjun Wu, Ananth Kalyanaraman, William R. Cannon
pGraph: Efficient Parallel Construction of Large-Scale Protein Sequence Homology Graphs. IEEE Trans. Parallel Distributed Syst. 23 (10) (2012)
Jeff Daily, Sriram Krishnamoorthy, Ananth Kalyanaraman
Towards scalable optimal sequence homology detection. HiPC (2012)
Alys Hugo, Douglas J. Baxter, William R. Cannon, Ananth Kalyanaraman, Gaurav Ramesh Kulkarni, Stephen J. Callister
Proteotyping of Microbial Communities by Optimization of Tandem Mass Spectrometry Data Interpretation. Pacific Symposium on Biocomputing (2012)
Turbo Majumder, Michael Edward Borgens, Partha Pratim Pande, Ananth Kalyanaraman
On-Chip Network-Enabled Multicore Platforms Targeting Maximum Likelihood Phylogeny Reconstruction. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 31 (7) (2012)
Timothy Chapman, Ananth Kalyanaraman
An OpenMP algorithm and implementation for clustering biological graphs. IA3@SC (2011)
Ananth Kalyanaraman, William R. Cannon, Benjamin Latt, Douglas J. Baxter
MapReduce implementation of a hybrid spectral library-database search method for large-scale peptide identification. Bioinform. 27 (21) (2011)
Turbo Majumder, Partha Pratim Pande, Ananth Kalyanaraman
Accelerating Maximum Likelihood Based Phylogenetic Kernels Using Network-on-Chip. SBAC-PAD (2011)
Ananth Kalyanaraman, Srinivas Aluru, David A. Bader
HiCOMB Introduction. IPDPS Workshops (2011)
Souradip Sarkar, Turbo Majumder, Ananth Kalyanaraman, Partha Pratim Pande
Hardware accelerators for biocomputing: A survey. ISCAS (2010)
Souradip Sarkar, Gaurav Ramesh Kulkarni, Partha Pratim Pande, Ananth Kalyanaraman
Network-on-Chip Hardware Accelerators for Biological Sequence Alignment. IEEE Trans. Computers 59 (1) (2010)
Changjun Wu, Ananth Kalyanaraman, William R. Cannon
A Scalable Parallel Algorithm for Large-Scale Protein Sequence Homology Detection. ICPP (2010)
Turbo Majumder, Souradip Sarkar, Partha Pratim Pande, Ananth Kalyanaraman
An optimized NoC architecture for accelerating TSP kernels in breakpoint median problem. ASAP (2010)
Gaurav Ramesh Kulkarni, Ananth Kalyanaraman, William R. Cannon, Douglas J. Baxter
A Scalable Parallel Approach for Peptide Identification from Large-Scale Mass Spectrometry Data. ICPP Workshops (2009)
Md. Muksitul Haque, Ananth Kalyanaraman, Amit Dhingra, Nehal Abu-Lail, Kaori Graybeal
DNAjig: A New Approach for Building DNA Nanostructures. BIBM (2009)
Changjun Wu, Ananth Kalyanaraman
An efficient parallel approach for identifying protein families in large-scale metagenomic data sets. SC (2008)
Willard Davis, Ananth Kalyanaraman, Diane J. Cook
An information theoretic approach for the discovery of irregular and repetitive patterns in genomic data. CIBCB (2008)