| 2024 | CaH2: Criticality aware Hybrid L2. | Shruthi Karunakar, Rajshekar Kalayappan |
| 2024 | AI-Driven Power Gating for Enhanced Energy Efficiency in Superscalar Processors. | Naman Kalra, Jaynarayan T. Tudu |
| 2024 | U-Net for Breast Tumor Segmentation. | Majina K |
| 2024 | Combining Checkpoint/Restart and Replication for Fault Tolerance with High Performance. | Sarthak Joshi, Sathish Vadhiyar |
| 2024 | SimGraph: A Scalable Physics-Informed Graph Neural Network-Based Smart Proxy for Reservoir Simulation Workflows. | Subodh Madhav Joshi, Kaushik Koneripalli, Divyanshu Vyas, Kaushic Kalyanaraman |
| 2024 | Simulation-Driven Design of Large-Scale Systems Architecture. | Shridhar Joshi, Sumant Kalra |
| 2024 | Porting of OpenSM over Trinetra-A Switchless Torus Network. | V. Evancer Vino John, Mahesh Chaudhari, Yogeshwar Sonawane, Sanjay Wandhekar |
| 2024 | Towards Real-Time LLM Inference on Heterogeneous Edge Platforms. | Rakshith Jayanth, Neelesh Gupta, Souvik Kundu, Deepak A. Mathaikutty, Viktor K. Prasanna |
| 2024 | HPC Application Parameter Autotuning on Edge Devices: A Bandit Learning Approach. | Abrar Hossain, Abdel-Hameed A. Badawy, Mohammad A. Islam, Tapasya Patki, Kishwar Ahmed |
| 2024 | Identifying Focus-of-Analysis Regions in MPI-Traces Using Transfer-Efficiency Monitors. | Kingshuk Haldar |
| 2024 | Energy Efficient Predictive Beamforming and 5G Cell Management using SDN. | Aman Gupta, Chirag Modi, Ayushman Singh, Sameer G. Kulkarni |
| 2024 | Towards Continuous Checkpointing for HPC Systems Using CXL. | Ellis Giles, Peter J. Varman |
| 2024 | A More Scalable Sparse Dynamic Data Exchange. | Andrew Geyko, Gerald Collom, Derek Schafer, Patrick G. Bridges, Amanda Bienz |
| 2024 | Leveraging LLVM OpenMP GPU Offload Optimizations for Kokkos Applications. | Rahulkumar Gayatri, Shilei Tian, Stephen L. Olivier, Eric Wright, Johannes Doerfert |
| 2024 | Maximizing Multi-Core Efficiency in BLAS: A Scalable Architecture for Performance. | Shivam Gautam, Deeksha Goplani, Darshan Patel, Ragesh Hajela, Masahiro Doteguchi, Ikuo Miyoshi, Priyanka Sharma |
| 2024 | Hybrid Performance Prediction Model for Edge Devices. | Param Gandhi, Ishaan Thakkar, Mahatva Garg, Gargi Alavani Prabhu |
| 2024 | Multi-Space Tree with Incremental Construction for GPU-Accelerated Range Queries. | Brian Donnelly, Michael Gowanlock |
| 2024 | Graph Sampling Quality Prediction for Algorithm Recommendation. | S. Haleh S. Dizaji, Reza Farahani, Joze M. Rozanec, Dragi Kimovski, Ahmet Soylu, Radu Prodan |
| 2024 | Towards Pre-Training Data Evaluation for Client Selection in Federated Learning. | Vijay Dharmaji, Manit Tanwar, Subroto Majumder, M. Mustafa Rafique, Arnab K. Paul |
| 2024 | Leveraging Valgrind to Assess Concurrent, Testing-Unaware C Programs. | Prasun Dewan, Nalin Gaddis |
| 2024 | Keeping GPUs Cool: GPU Temperature Prediction Using LSTM. | Tanish Desai, Jainam Shah, Gargi Alavani Prabhu |
| 2024 | HiRTO: High-Reliable Task Offloading Scheme using Markovian Stackelberg Game Theory. | Rajasekhar Dasari, Sanjeet Kumar |
| 2024 | Mini-Combust - An Open-Source Unstructured FGM Combustion Mini-App for Co-Designing Aero-Engines at Extreme Scale. | Samuel Curtis, Harry Waugh, Tom Deakin, Gihan R. Mudalige |
| 2024 | Design and Implementation of Kernel-based MPI Reduction Operations for Intel GPU s. | Chen-Chun Chen, Goutham Kalikrishna Reddy Kuncham, Hari Subramoni, Dhabaleswar K. Panda |
| 2024 | Towards Secure Federated Learning: The Impact of Cost-Sensitive Learning on Adversarial Resilience. | Aastha Chauhan, Nidhi Singh, Subhajit Sidhanta |