Space and Time Efficient Parallel Algorithms and Software for EST Clustering. - Anantharaman Kalyanaraman; Srinivas Aluru; Suresh C. Kothari (ICPP, 2002)

Parallel EST Clustering. - Anantharaman Kalyanaraman; Srinivas Aluru; Suresh C. Kothari (IPDPS, 2002)

Space and time efficient parallel algorithms and software for EST clustering. - Anantharaman Kalyanaraman; Srinivas Aluru; Volker Brendel; Suresh C. Kothari (IEEE Trans. Parallel Distributed Syst., 2003)

Space-Conserving Optimal DNA-Protein Alignment . - Pang Ko; Mahesh Narayanan; Anantharaman Kalyanaraman; Srinivas Aluru (CSB, 2004)

M11 - High-performance computing methods for computational genomics. - Srinivas Aluru; David A. Bader; Anantharaman Kalyanaraman (SC, 2006)

Efficient Algorithms and Software for Detection of Full-length Ltr Retrotransposons. - Anantharaman Kalyanaraman; Srinivas Aluru (J. Bioinform. Comput. Biol., 2006)

Massively parallel expressed sequence tag clustering. - Scott J. Emrich; Anantharaman Kalyanaraman; Srinivas Aluru (PDCS, 2007)

Symposium Evening Tutorial: High-performance Computing Methods for Computational Genomics. - Srinivas Aluru; David A. Bader; Anantharaman Kalyanaraman (IPDPS, 2007)

Assembling genomes on large-scale parallel computers. - Anantharaman Kalyanaraman; Scott J. Emrich; Patrick S. Schnable; Srinivas Aluru (J. Parallel Distributed Comput., 2007)

An information theoretic approach for the discovery of irregular and repetitive patterns in genomic data. - Willard Davis; Ananth Kalyanaraman; Diane J. Cook (CIBCB, 2008)

An efficient parallel approach for identifying protein families in large-scale metagenomic data sets. - Changjun Wu; Ananth Kalyanaraman (SC, 2008)

DNAjig: A New Approach for Building DNA Nanostructures. - Md. Muksitul Haque; Ananth Kalyanaraman; Amit Dhingra; Nehal Abu-Lail; Kaori Graybeal (BIBM, 2009)

A Scalable Parallel Approach for Peptide Identification from Large-Scale Mass Spectrometry Data. - Gaurav Ramesh Kulkarni; Ananth Kalyanaraman; William R. Cannon; Douglas J. Baxter (ICPP Workshops, 2009)

An optimized NoC architecture for accelerating TSP kernels in breakpoint median problem. - Turbo Majumder; Souradip Sarkar; Partha Pratim Pande; Ananth Kalyanaraman (ASAP, 2010)

A Scalable Parallel Algorithm for Large-Scale Protein Sequence Homology Detection. - Changjun Wu; Ananth Kalyanaraman; William R. Cannon (ICPP, 2010)

Hardware accelerators for biocomputing: A survey. - Souradip Sarkar; Turbo Majumder; Ananth Kalyanaraman; Partha Pratim Pande (ISCAS, 2010)

Network-on-Chip Hardware Accelerators for Biological Sequence Alignment. - Souradip Sarkar; Gaurav Ramesh Kulkarni; Partha Pratim Pande; Ananth Kalyanaraman (IEEE Trans. Computers, 2010)

HiCOMB Introduction. - Ananth Kalyanaraman; Srinivas Aluru; David A. Bader (IPDPS Workshops, 2011)

Accelerating Maximum Likelihood Based Phylogenetic Kernels Using Network-on-Chip. - Turbo Majumder; Partha Pratim Pande; Ananth Kalyanaraman (SBAC-PAD, 2011)

An OpenMP algorithm and implementation for clustering biological graphs. - Timothy Chapman; Ananth Kalyanaraman (IA3@SC, 2011)

MapReduce implementation of a hybrid spectral library-database search method for large-scale peptide identification. - Ananth Kalyanaraman; William R. Cannon; Benjamin Latt; Douglas J. Baxter (Bioinform., 2011)

Genome Assembly. - Ananth Kalyanaraman (Encyclopedia of Parallel Computing, 2011)

Towards scalable optimal sequence homology detection. - Jeff Daily; Sriram Krishnamoorthy; Ananth Kalyanaraman (HiPC, 2012)

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 (Pacific Symposium on Biocomputing, 2012)

NoC-Based Hardware Accelerator for Breakpoint Phylogeny. - Turbo Majumder; Souradip Sarkar; Partha Pratim Pande; Ananth Kalyanaraman (IEEE Trans. Computers, 2012)

On-Chip Network-Enabled Multicore Platforms Targeting Maximum Likelihood Phylogeny Reconstruction. - Turbo Majumder; Michael Edward Borgens; Partha Pratim Pande; Ananth Kalyanaraman (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2012)

pGraph: Efficient Parallel Construction of Large-Scale Protein Sequence Homology Graphs. - Changjun Wu; Ananth Kalyanaraman; William R. Cannon (IEEE Trans. Parallel Distributed Syst., 2012)

BigLS - The 1st International Workshop on Big Data in Life Sciences. - Ananth Kalyanaraman; Jaroslaw Zola (ICCABS, 2013)

Scalable heuristics for clustering biological graphs. - Inna Rytsareva; Ananth Kalyanaraman; Kishori M. Konwar; Steven J. Hallam (ICCABS, 2013)

Empirical Analysis of Space-Filling Curves for Scientific Computing Applications. - Daryl R. DeFord; Ananth Kalyanaraman (ICPP, 2013)

Network-on-Chip with Long-Range Wireless Links for High-Throughput Scientific Computation. - Turbo Majumder; Partha Pratim Pande; Ananth Kalyanaraman (IPDPS Workshops, 2013)

GPU-Accelerated Protein Family Identification for Metagenomics. - Changjun Wu; Ananth Kalyanaraman (IPDPS Workshops, 2013)

High-throughput, energy-efficient network-on-chip-based hardware accelerators. - Turbo Majumder; Partha Pratim Pande; Ananth Kalyanaraman (Sustain. Comput. Informatics Syst., 2013)

Scaling graph community detection on the Tilera many-core architecture. - Daniel G. Chavarría-Miranda; Mahantesh Halappanavar; Ananth Kalyanaraman (HiPC, 2014)

Design and Implementation of Kepler Workflows for BioEarth. - Tristan Mullis; Mingliang Liu; Ananth Kalyanaraman; Joseph Vaughan; Christina Tague; Jennifer Adam (ICCS, 2014)

HiCOMB Keynote and Invited Talks. - Stephen Larson; Ümit V. Çatalyürek; Ananth Kalyanaraman (IPDPS Workshops, 2014)

Parallel Heuristics for Scalable Community Detection. - Hao Lu 001; Mahantesh Halappanavar; Ananth Kalyanaraman; Sutanay Choudhury (IPDPS Workshops, 2014)

Hardware Accelerators in Computational Biology: Application, Potential, and Challenges. - Turbo Majumder; Partha Pratim Pande; Ananth Kalyanaraman (IEEE Des. Test, 2014)

Wireless NoC Platforms With Dynamic Task Allocation for Maximum Likelihood Phylogeny Reconstruction. - Turbo Majumder; Partha Pratim Pande; Ananth Kalyanaraman (IEEE Des. Test, 2014)

Parallel algorithms for clustering biological graphs on distributed and shared memory architectures. - Inna Rytsareva; Timothy Chapman; Ananth Kalyanaraman (Int. J. High Perform. Comput. Netw., 2014)

An alignment-free approach to cluster proteins using frequency of conserved k-mers. - Armen Abnousi; Shira L. Broschat; Ananth Kalyanaraman (BCB, 2015)

High performance and energy efficient wireless NoC-enabled multicore architectures for graph analytics. - Karthi Duraisamy; Hao Lu 001; Partha Pratim Pande; Ananth Kalyanaraman (CASES, 2015)

On-chip network-enabled many-core architectures for computational biology applications. - Turbo Majumder; Partha Pratim Pande; Ananth Kalyanaraman (DATE, 2015)

Introduction to HiPC Workshop 2. - Dinkar Sitaram; Ananth Kalyanaraman (HiPC Workshops, 2015)

ParLearning Keynotes. - David A. Bader; Yihua Huang; Ananth Kalyanaraman (IPDPS Workshops, 2015)

HiCOMB 2015 Keynote and Invited Talks. - Ramesh Hariharan; Ananth Kalyanaraman; Michela Taufer; Trilce Estrada; Pietro Cicotti; Pavan Balaji (IPDPS Workshops, 2015)

Balanced Coloring for Parallel Computing Applications. - Hao Lu 001; Mahantesh Halappanavar; Daniel G. Chavarría-Miranda; Assefaw Hadish Gebremedhin; Ananth Kalyanaraman (IPDPS, 2015)

A work stealing based approach for enabling scalable optimal sequence homology detection. - Jeff Daily; Ananth Kalyanaraman; Sriram Krishnamoorthy; Abhinav Vishnu (J. Parallel Distributed Comput., 2015)

Parallel heuristics for scalable community detection. - Hao Lu 001; Mahantesh Halappanavar; Ananth Kalyanaraman (Parallel Comput., 2015)

A Fast Sketch-based Assembler for Genomes. - Priyanka Ghosh; Ananth Kalyanaraman (BCB, 2016)

Characterizing the Role of Environment on Phenotypic Traits using Topological Data Analysis. - Methun Kamruzzaman; Ananth Kalyanaraman; Bala Krishnamoorthy (BCB, 2016)

Detecting Communities in Biological Bipartite Networks. - Paola Pesantez-Cabrera; Ananth Kalyanaraman (BCB, 2016)

On the Impact of Widening Vector Registers on Sequence Alignment. - Jeffrey Daily; Ananth Kalyanaraman; Sriram Krishnamoorthy; Bin Ren (ICPP, 2016)

HiCOMB Introduction and Committees. - Srinivas Aluru; David A. Bader; Ananth Kalyanaraman; Jaroslaw Zola (IPDPS Workshops, 2016)

Fast Uncovering of Graph Communities on a Chip: Toward Scalable Community Detection on Multicore and Manycore Platforms. - Ananth Kalyanaraman; Mahantesh Halappanavar; Daniel G. Chavarría-Miranda; Hao Lu 001; Karthi Duraisamy; Partha Pratim Pande (Found. Trends Electron. Des. Autom., 2016)

High-Performance and Energy-Efficient Network-on-Chip Architectures for Graph Analytics. - Karthi Duraisamy; Hao Lu 001; Partha Pratim Pande; Ananth Kalyanaraman (ACM Trans. Embed. Comput. Syst., 2016)

Accelerating Graph Community Detection with Approximate Updates via an Energy-Efficient NoC. - Karthi Duraisamy; Hao Lu 001; Partha Pratim Pande; Ananth Kalyanaraman (DAC, 2017)

Approximate Computing Techniques for Iterative Graph Algorithms. - Ajay Panyala; Omer Subasi; Mahantesh Halappanavar; Ananth Kalyanaraman; Daniel G. Chavarría-Miranda; Sriram Krishnamoorthy (HiPC, 2017)

BigDF Introduction. - Dinkar Sitaram; Ananth Kalyanaraman (HiPC Workshops, 2017)

Scalable static and dynamic community detection using Grappolo. - Mahantesh Halappanavar; Hao Lu 001; Ananth Kalyanaraman; Antonino Tumeo (HPEC, 2017)

Toward A Scalable Exploratory Framework for Complex High-Dimensional Phenomics Data. - Methun Kamruzzaman; Ananth Kalyanaraman; Bala Krishnamoorthy; Patrick S. Schnable (CoRR, 2017)

Interesting Paths in the Mapper. - Ananth Kalyanaraman; Methun Kamruzzaman; Bala Krishnamoorthy (CoRR, 2017)

Algorithms for Balanced Graph Colorings with Applications in Parallel Computing. - Hao Lu 001; Mahantesh Halappanavar; Daniel G. Chavarría-Miranda; Assefaw Hadish Gebremedhin; Ajay Panyala; Ananth Kalyanaraman (IEEE Trans. Parallel Distributed Syst., 2017)

Detecting Divergent Subpopulations in Phenomics Data using Interesting Flares. - Methun Kamruzzaman; Ananth Kalyanaraman; Bala Krishnamoorthy (BCB, 2018)

Scalable Distributed Memory Community Detection Using Vite. - Sayan Ghosh; Mahantesh Halappanavar; Antonino Tumeo; Ananth Kalyanaraman; Assefaw H. Gebremedhin (HPEC, 2018)

Distributed Louvain Algorithm for Graph Community Detection. - Sayan Ghosh; Mahantesh Halappanavar; Antonino Tumeo; Ananth Kalyanaraman; Hao Lu 001; Daniel G. Chavarría-Miranda; Arif Khan 005; Assefaw Hadish Gebremedhin (IPDPS, 2018)

MiniVite: A Graph Analytics Benchmarking Tool for Massively Parallel Systems. - Sayan Ghosh; Mahantesh Halappanavar; Antonino Tumeo; Ananth Kalyanaraman; Assefaw H. Gebremedhin (PMBS@SC, 2018)

Alignment-free clustering of large data sets of unannotated protein conserved regions using minhashing. - Armen Abnousi; Shira L. Broschat; Ananth Kalyanaraman (BMC Bioinform., 2018)

Guest Editorial: Advances in Parallel Graph Processing: Algorithms, Architectures, and Application Frameworks. - Ananth Kalyanaraman; Mahantesh Halappanavar (IEEE Trans. Multi Scale Comput. Syst., 2018)

A fast and efficient incremental approach toward dynamic community detection. - Neda Zarayeneh; Ananth Kalyanaraman (ASONAM, 2019)

A Visual Analytics Framework for Analysis of Patient Trajectories. - Kaniz Fatema Madhobi; Methun Kamruzzaman; Ananth Kalyanaraman; Eric Lofgren; Rebekah Moehring; Bala Krishnamoorthy (BCB, 2019)

Fast and Scalable Implementations of Influence Maximization Algorithms. - Marco Minutoli; Mahantesh Halappanavar; Ananth Kalyanaraman; Arun V. Sathanur; Ryan S. McClure; Jason E. McDermott (CLUSTER, 2019)

A Brief Survey of Algorithms, Architectures, and Challenges toward Extreme-scale Graph Analytics. - Ananth Kalyanaraman; Partha Pratim Pande (DATE, 2019)

Scaling and Quality of Modularity Optimization Methods for Graph Clustering. - Sayan Ghosh; Mahantesh Halappanavar; Antonino Tumeo; Ananth Kalyanaraman (HPEC, 2019)

Exploring MPI Communication Models for Graph Applications Using Graph Matching as a Case Study. - Sayan Ghosh; Mahantesh Halappanavar; Ananth Kalyanaraman; Arif Khan 005; Assefaw H. Gebremedhin (IPDPS, 2019)

PaKman: Scalable Assembly of Large Genomes on Distributed Memory Machines. - Priyanka Ghosh; Sriram Krishnamoorthy; Ananth Kalyanaraman (IPDPS, 2019)

Introduction to HiCOMB 2019. - Alba Cristina Magalhaes Alves de Melo; Ananth Kalyanaraman (IPDPS Workshops, 2019)

NoC-enabled software/hardware co-design framework for accelerating k-mer counting. - Biresh Kumar Joardar; Priyanka Ghosh; Partha Pratim Pande; Ananth Kalyanaraman; Sriram Krishnamoorthy (NOCS, 2019)

Interesting paths in the mapper complex. - Ananth Kalyanaraman; Methun Kamruzzaman; Bala Krishnamoorthy (J. Comput. Geom., 2019)

FastEtch: A Fast Sketch-Based Assembler for Genomes. - Priyanka Ghosh; Ananth Kalyanaraman (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

Efficient Detection of Communities in Biological Bipartite Networks. - Paola Pesantez-Cabrera; Ananth Kalyanaraman (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

cuRipples: influence maximization on multi-GPU systems. - Marco Minutoli; Maurizio Drocco; Mahantesh Halappanavar; Antonino Tumeo; Ananth Kalyanaraman (ICS, 2020)

Vertex Reordering for Real-World Graphs and Applications: An Empirical Evaluation. - Reet Barik; Marco Minutoli; Mahantesh Halappanavar; Nathan R. Tallent; Ananth Kalyanaraman (IISWC, 2020)

Preempt: scalable epidemic interventions using submodular optimization on multi-GPU systems. - Marco Minutoli; Prathyush Sambaturu; Mahantesh Halappanavar; Antonino Tumeo; Ananth Kalyanaraman; Anil Vullikanti (SC, 2020)

Pheno-mapper: an interactive toolbox for the visual exploration of phenomics data. - Youjia Zhou; Methun Kamruzzaman; Patrick S. Schnable; Bala Krishnamoorthy; Ananth Kalyanaraman; Bei Wang 001 (BCB, 2021)

Scalable topological data analysis for life science applications. - Ananth Kalyanaraman (CF, 2021)

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 (SC, 2021)

EXAGRAPH: Graph and combinatorial methods for enabling exascale applications. - 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 005; Marco Minutoli; et al. (Int. J. High Perform. Comput. Appl., 2021)

Hyppo-X: A Scalable Exploratory Framework for Analyzing Complex Phenomics Data. - Methun Kamruzzaman; Ananth Kalyanaraman; Bala Krishnamoorthy; Stefan Hey; Patrick S. Schnable (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Delta-Screening: A Fast and Efficient Technique to Update Communities in Dynamic Graphs. - Neda Zarayeneh; Ananth Kalyanaraman (IEEE Trans. Netw. Sci. Eng., 2021)

PaKman: A Scalable Algorithm for Generating Genomic Contigs on Distributed Memory Machines. - Priyanka Ghosh; Sriram Krishnamoorthy; Ananth Kalyanaraman (IEEE Trans. Parallel Distributed Syst., 2021)

HBMax: Optimizing Memory Efficiency for Parallel Influence Maximization on Multicore Architectures. - Xinyu Chen; Marco Minutoli; Jiannan Tian; Mahantesh Halappanavar; Ananth Kalyanaraman; Dingwen Tao (PACT, 2022)

IMpart: A Partitioning-based Parallel Approach to Accelerate Influence Maximization. - Reet Barik; Marco Minutoli; Mahantesh Halappanavar; Ananth Kalyanaraman (HIPC, 2022)

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 (IJCAI, 2022)

Special report: The AgAID AI institute for transforming workforce and decision support in agriculture. - Ananth Kalyanaraman; Margaret Burnett; Alan Fern; Lav R. Khot; Joshua Viers (Comput. Electron. Agric., 2022)

High-Performance and Energy-Efficient 3D Manycore GPU Architecture for Accelerating Graph Analytics. - Dwaipayan Choudhury; Aravind Sukumaran-Rajam; Ananth Kalyanaraman; Partha Pratim Pande (ACM J. Emerg. Technol. Comput. Syst., 2022)

Towards scaling community detection on distributed-memory heterogeneous systems. - Nitin Gawande; Sayan Ghosh; Mahantesh Halappanavar; Antonino Tumeo; Ananth Kalyanaraman (Parallel Comput., 2022)

Software/Hardware Co-design of 3D NoC-based GPU Architectures for Accelerated Graph Computations. - Dwaipayan Choudhury; Reet Barik; Aravind Sukumaran-Rajam; Ananth Kalyanaraman; Partha Pratim Pande (ACM Trans. Design Autom. Electr. Syst., 2022)

GraphIte: Accelerating Iterative Graph Algorithms on ReRAM Architectures via Approximate Computing. - Dwaipayan Choudhury; Ananth Kalyanaraman; Partha Pande 001 (DATE, 2023)

An Efficient Parallel Sketch-based Algorithm for Mapping Long Reads to Contigs. - Tazin Rahman; Oieswarya Bhowmik; Ananth Kalyanaraman (IPDPS Workshops, 2023)

Fused Breadth-First Probabilistic Traversals on Distributed GPU Systems. - Reece Neff; Mostafa Eghbali Zarch; Marco Minutoli; Mahantesh Halappanavar; Antonino Tumeo; Ananth Kalyanaraman; Michela Becchi (CoRR, 2023)

Accelerating Graph Computations on 3D NoC-Enabled PIM Architectures. - Dwaipayan Choudhury; Lizhi Xiang; Aravind Sukumaran-Rajam; Anantharaman Kalyanaraman; Partha Pratim Pande (ACM Trans. Design Autom. Electr. Syst., 2023)

Florets for Chiplets: Data Flow-aware High-Performance and Energy-efficient Network-on-Interposer for CNN Inference Tasks. - Harsh Sharma; Lukas Pfromm; Rasit Onur Topaloglu; Janardhan Rao Doppa; Ümit Y. Ogras; Ananth Kalyanaraman; Partha Pratim Pande (ACM Trans. Embed. Comput. Syst., 2023)

Attention-Based Models for Snow-Water Equivalent Prediction. - Krishu K. Thapa; Bhupinderjeet Singh; Supriya Savalkar; Alan Fern; Kirti Rajagopalan; Ananth Kalyanaraman (AAAI, 2024)

A Multi-task Learning Approach for Predicting Spatio-temporal Patient Variables. - Kaniz Fatema Madhobi; Eric Lofgren; Ananth Kalyanaraman (BCB, 2024)

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 (DATE, 2024)

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 (ICS, 2024)

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 (IJCAI, 2024)

Message from the 2024 Workshops Chair and Vice-chair. - Ananth Kalyanaraman; Suren Byna (IPDPS (Workshops), 2024)

HiCOMB 2024 Preface and Committees. - Alba Cristina Magalhaes Alves de Melo; Ananth Kalyanaraman (IPDPS (Workshops), 2024)

AgAID Institute - AI for agricultural labor and decision support. - Alan Fern; Margaret Burnett; Joseph R. Davidson; Janardhan Rao Doppa; Paola Pesántez-Cabrera; Ananth Kalyanaraman (AI Mag., 2024)

Streamflow Prediction with Uncertainty Quantification for Water Management: A Constrained Reasoning and Learning Approach. - Mohammed Amine Gharsallaoui; Bhupinderjeet Singh; Supriya Savalkar; Aryan Deshwal; Yan Yan 006; Ananth Kalyanaraman; Kirti Rajagopalan; Janardhan Rao Doppa (CoRR, 2024)

An Integrated Epidemic Simulation Workflow for Submodular Intervention Strategies. - Reet Barik; Marco Minutoli; Mahantesh Halappanavar; Ananth Kalyanaraman (CoRR, 2024)

Maptcha: an efficient parallel workflow for hybrid genome scaffolding. - Oieswarya Bhowmik; Tazin Rahman; Ananth Kalyanaraman (BMC Bioinform., 2024)

Correction: Maptcha: an efficient parallel workflow for hybrid genome scaffolding. - Oieswarya Bhowmik; Tazin Rahman; Ananth Kalyanaraman (BMC Bioinform., 2024)

Message from the 2025 General Co-chairs. - Marco D. Santambrogio; Ananth Kalyanaraman (IPDPS, 2025)

GreediRIS: Scalable influence maximization using distributed streaming maximum cover. - Reet Barik; Wade Cappa; S. M. Ferdous; Marco Minutoli; Mahantesh Halappanavar; Ananth Kalyanaraman (J. Parallel Distributed Comput., 2025)

Editor's note. - Ananth Kalyanaraman (J. Parallel Distributed Comput., 2025)

HpT: Hybrid Acceleration of Spatio-Temporal Attention Model Training on Heterogeneous Manycore Architectures. - Saiman Dahal; Pratyush Dhingra; Krishu K. Thapa; Partha Pratim Pande; Ananth Kalyanaraman (IEEE Trans. Parallel Distributed Syst., 2025)