Ananth Kalyanaraman
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
33
Venues
15
Active years
2008–2026
Best venue rank
A*
Where they publish
Papers
33 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | ForeSWE: Forecasting Snow-Water Equivalent with an Uncertainty-Aware Attention Model. | Krishu K. Thapa, Supriya Savalkar, Bhupinderjeet Singh, Trong Nghia Hoang, Kirti Rajagopalan, Ananth Kalyanaraman |
| 2025 | ICS | DIMPLES: Distributed Influence Maximization for Pandemic pLanning on Exascale Systems. | 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 |
| 2024 | AAAI | Attention-Based Models for Snow-Water Equivalent Prediction. | Krishu K. Thapa, Bhupinderjeet Singh, Supriya Savalkar, Alan Fern, Kirti Rajagopalan, Ananth Kalyanaraman |
| 2024 | DATE | FARe: Fault-Aware GNN Training on ReRAM-Based PIM Accelerators. | Pratyush Dhingra, Chukwufumnanya Ogbogu, Biresh Kumar Joardar, Janardhan Rao Doppa, Ananth Kalyanaraman, Partha Pratim Pande |
| 2024 | IJCAI | Streamflow Prediction with Uncertainty Quantification for Water Management: A Constrained Reasoning and Learning Approach. | Mohammed Amine Gharsallaoui, Bhupinderjeet Singh, Supriya Savalkar, Aryan Deshwal, Ananth Kalyanaraman, Kirti Rajagopalan, Janardhan Rao Doppa |
| 2024 | ICS | FuseIM: Fusing Probabilistic Traversals for Influence Maximization on Exascale Systems. | Reece Neff, Mostafa Eghbali Zarch, Marco Minutoli, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman, Michela Becchi |
| 2023 | DATE | GraphIte: Accelerating Iterative Graph Algorithms on ReRAM Architectures via Approximate Computing. | Dwaipayan Choudhury, Ananth Kalyanaraman, Partha Pande |
| 2022 | HiPC | IMpart: A Partitioning-based Parallel Approach to Accelerate Influence Maximization. | Reet Barik, Marco Minutoli, Mahantesh Halappanavar, Ananth Kalyanaraman |
| 2022 | IJCAI | Scalable and Memory-Efficient Algorithms for Controlling Networked Epidemic Processes Using Multiplicative Weights Update Method. | Prathyush Sambaturu, Marco Minutoli, Mahantesh Halappanavar, Ananth Kalyanaraman, Anil Vullikanti |
| 2021 | SC | Single-node partitioned-memory for huge graph analytics: cost and performance trade-offs. | Sayan Ghosh, Nathan R. Tallent, Marco Minutoli, Mahantesh Halappanavar, Ramesh Peri, Ananth Kalyanaraman |
| 2020 | ICS | cuRipples: influence maximization on multi-GPU systems. | Marco Minutoli, Maurizio Drocco, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman |
| 2020 | SC | Preempt: scalable epidemic interventions using submodular optimization on multi-GPU systems. | Marco Minutoli, Prathyush Sambaturu, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman, Anil Vullikanti |
| 2019 | CLUSTER | Fast and Scalable Implementations of Influence Maximization Algorithms. | Marco Minutoli, Mahantesh Halappanavar, Ananth Kalyanaraman, Arun V. Sathanur, Ryan S. McClure, Jason E. McDermott |
| 2019 | DATE | A Brief Survey of Algorithms, Architectures, and Challenges toward Extreme-scale Graph Analytics. | Ananth Kalyanaraman, Partha Pratim Pande |
| 2018 | SC | MiniVite: A Graph Analytics Benchmarking Tool for Massively Parallel Systems. | Sayan Ghosh, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman, Assefaw H. Gebremedhin |
| 2017 | DAC | Accelerating Graph Community Detection with Approximate Updates via an Energy-Efficient NoC. | Karthi Duraisamy, Hao Lu, Partha Pratim Pande, Ananth Kalyanaraman |
| 2017 | HiPC | Approximate Computing Techniques for Iterative Graph Algorithms. | Ajay Panyala, Omer Subasi, Mahantesh Halappanavar, Ananth Kalyanaraman, Daniel G. Chavarra-Miranda, Sriram Krishnamoorthy |
| 2017 | HiPC | BigDF Introduction. | Dinkar Sitaram, Ananth Kalyanaraman |
| 2016 | ICPP | On the Impact of Widening Vector Registers on Sequence Alignment. | Jeffrey Daily, Ananth Kalyanaraman, Sriram Krishnamoorthy, Bin Ren |
| 2015 | CASES | High performance and energy efficient wireless NoC-enabled multicore architectures for graph analytics. | Karthi Duraisamy, Hao Lu, Partha Pratim Pande, Ananth Kalyanaraman |
| 2015 | DATE | On-chip network-enabled many-core architectures for computational biology applications. | Turbo Majumder, Partha Pratim Pande, Ananth Kalyanaraman |
| 2015 | HiPC | Introduction to HiPC Workshop 2. | Dinkar Sitaram, Ananth Kalyanaraman |
| 2014 | HiPC | Scaling graph community detection on the Tilera many-core architecture. | Daniel G. Chavarra-Miranda, Mahantesh Halappanavar, Ananth Kalyanaraman |
| 2014 | ICCS | Design and Implementation of Kepler Workflows for BioEarth. | Tristan Mullis, Mingliang Liu, Ananth Kalyanaraman, Joseph Vaughan, Christina Tague, Jennifer Adam |
| 2013 | ICPP | Empirical Analysis of Space-Filling Curves for Scientific Computing Applications. | Daryl R. DeFord, Ananth Kalyanaraman |
| 2012 | HiPC | Towards scalable optimal sequence homology detection. | Jeff Daily, Sriram Krishnamoorthy, Ananth Kalyanaraman |
| 2012 | PSB | Proteotyping of Microbial Communities by Optimization of Tandem Mass Spectrometry Data Interpretation. | Alys Hugo, Douglas J. Baxter, William R. Cannon, Ananth Kalyanaraman, Gaurav Ramesh Kulkarni, Stephen J. Callister |
| 2011 | SC | An OpenMP algorithm and implementation for clustering biological graphs. | Timothy Chapman, Ananth Kalyanaraman |
| 2011 | SBAC-PAD | Accelerating Maximum Likelihood Based Phylogenetic Kernels Using Network-on-Chip. | Turbo Majumder, Partha Pratim Pande, Ananth Kalyanaraman |
| 2010 | ICPP | A Scalable Parallel Algorithm for Large-Scale Protein Sequence Homology Detection. | Changjun Wu, Ananth Kalyanaraman, William R. Cannon |
| 2010 | ISCAS | Hardware accelerators for biocomputing: A survey. | Souradip Sarkar, Turbo Majumder, Ananth Kalyanaraman, Partha Pratim Pande |
| 2008 | CIBCB | An information theoretic approach for the discovery of irregular and repetitive patterns in genomic data. | Willard Davis, Ananth Kalyanaraman, Diane J. Cook |
| 2008 | SC | An efficient parallel approach for identifying protein families in large-scale metagenomic data sets. | Changjun Wu, Ananth Kalyanaraman |