| 2025 | Linear Order Graph Sparsification for MCMC and Mean-Field Annealing. | Debraj Banerjee, Santanu Mahapatra, Kunal N. Chaudhury |
| 2025 | Accelerating Chemical Kinetics Simulations via Dynamic Jacobians on CPUs and GPUs. | Kunal Bahuguna, Ved Vartak, Subhajit Sanfui, Ramsatish Kaluri |
| 2025 | Tuple Spaces for Workflow Scheduling and Core-Level Malleability in Hpc. | Juan Asensio Ayesa, Daro Surez Gracia, Llus Castrillo-Acua |
| 2025 | Analysis of Streaming Inference Pipeline for Edge Accelerators. | Mayank Arya, Priyanshu Pansari, Yogesh Simmhan |
| 2025 | A one-stop DSL for all your GNN workloads. | Anubhab, Rupesh Nasre |
| 2025 | Grey-Box Machine Learning Prediction of Parallel Application Scaling. | Akhil Alasandagutti, Patrick G. Bridges, Trilce Estrada |
| 2025 | Pedagogical Insights, Impact, and Recommendations from User Trainings in Scientific Computing Under the National Supercomputing Mission. | Nisha Agrawal, Paramita Ghosh, Rahul Dethe, Subhojeet Das, Ashish Nayak |
| 2025 | Quantitative Evaluation of Hazard Mitigation Strategies in a 5-Stage RISC-V Pipeline: A Benchmark-Driven Analysis Using Fibonacci and Prime Sieve. | Kushagra Agrawal, Anindita Basak, Abhishek Raj, Aakarsh Singh |
| 2025 | gSubCSR: Dynamic Graph Algorithms for Out-of-GPU-Memory Computation. | Ullas A, R. Govindarajan, Rupesh Nasre |
| 2024 | Dual Channel Dual Staging: Hierarchical and Portable Staging for GPU-Based In-Situ Workflow. | Bo Zhang, Philip E. Davis, Zhao Zhang, Keita Teranishi, Manish Parashar |
| 2024 | SimRank on Data Streams. | Dhyan Yajnik, Huzefa Aiyub Ansari, Prajjwal Nijhara, Dip Sankar Banerjee |
| 2024 | ML-based Modeling to Predict I/O Performance on Different Storage Sub-systems. | Yiheng Xu, Pranav Sivaraman, Hariharan Devarajan, Kathryn Mohror, Abhinav Bhatele |
| 2024 | Retrospection on the Performance Analysis Tools for Large-Scale HPC Programs. | Zhibo Xuan, Xin You, Hailong Yang, Mingzhen Li, Zhongzhi Luan, Yi Liu, Depei Qian |
| 2024 | Scaling Large Language Model Training on Frontier with Low-Bandwidth Partitioning. | Lang Xu, Quentin Anthony, Jacob Hatef, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda |
| 2024 | Training Photonic Mach Zehnder Meshes for Neural Network Acceleration. | Andy Wolff, Avinash Karanth |
| 2024 | LOSM: Leveraging OpenMP and Shared Memory for Accelerating Blocking MPI Allreduce. | Pranjal Walia, Ishan Shanware, Karthikeyan Vaidyanathan, Dhiraj D. Kalamkar, Uma M. Natarajan |
| 2024 | Hierarchical Communication Optimization for Distributed DNN Training. | Om Shivam Verma, Preeti Malakar |
| 2024 | Comm-bot: Generative AI for Optimising Supply Chains integrating LSTM with LLMs. | Murugappan Venkatachalam, Vijaya Dhaarshini V, Chitra P, Priya Thiagarajan |
| 2024 | Fast MIS on Incremental Graphs. | Aditya Trivedi, Prajjwal Nijhara, Dip Sankar Banerjee |
| 2024 | Protocol for Trustful Data Consumption from Data Repositories by Workflow Engines. | Shiva Sai Krishna Anand Tokal, Srinath Perera, Yogesh Simmhan |
| 2024 | Evaluating Multi-Instance DNN Inferencing on Multiple Accelerators of an Edge Device. | Mumuksh Tayal, Yogesh Simmhan |
| 2024 | Using BlueField-3 SmartNICs to Offload Vector Operations in Krylov Subspace Methods. | Kaushik Kandadi Suresh, Benjamin Michalowicz, Nick Contini, Bharath Ramesh, Mustafa Abduljabbar, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda |
| 2024 | Designing a Card Game for Computer Science Instructors to Evaluate Students' Parallel and Distributed Computing Knowledge. | Srishti Srivastava, Mary L. Smith |
| 2024 | Towards Platform-aware Application of Qubit Reuse in Hybrid Quantum-Classical Workflows. | Shikhar Srivastava, Mridulanka Nath, Tarun Harishchandra Pal, Vaishnav Manoj Kavitha, Ritajit Majumdar, Padmanabha Venkatagiri Seshadri, Anupama Ray, Yogesh Simmhan |
| 2024 | FNOPerf: A Robust Empirical Model for Predicting LLM Performance. | Mitali Sinha, Lalson Vincent, Mudit Sand, Subhasis Banerjee |