HiPC ’25 List of Accepted Papers

1. UniOMP: Unified Optimization Framework for OpenMP Offload under Machine Learning Guidance, Jianan Li, Lin Han, Shaoliang Peng, Yingying Li, Wei Gao.
2. DistFNE: A Distributed-Memory Algorithm for Force-Directed Node Embedding, Isuru Ranawaka, Ariful Azad
3. IMBPS – Iterative MLP Blocks with Parameter Splits for Improving LLM inference, Ganesh Prasad Nagaraja, Arun Coimbatore Ramachandran, Shubhendu Sharma, Govindarajan R, Prakash Raghavendra
4. SFCC: A Scalable and Flexible RDMA Congestion Control Algorithm, Yi Liao, Anran Xu, Wenming Zheng, Biyao Che, Jian Tang, Yonghang Zhang, Xiaoping Fan, Luren Liu, Ying Chen
5. Assessing Processor Allocation Strategies for Online List Scheduling of Moldable Task Graphs, Mary Jeevana Pudota, Chitta Krishna Chaitanya Reddy, Sai Rithvik Gundla, Hongyang Sun
6. Scalable XML Parsing and XPath Querying with Regular Expression Support, Robert K Samuel, Rupesh Nasre
7. Tuple Spaces for Workflow Scheduling and core-level job malleability in HPC, Juan Asensio Ayesa, Darío Suárez Gracia, Lluís Castrillo-Acuña
8. HOPPS: Hardware-Aware Optimal Phase Polynomial Synthesis with Blockwise Optimization for Quantum Circuits, Xinpeng Li, Ji Liu, Shuai Xu, Paul Hovland, Vipin Chaudhary
9. Predictive Execution of Workflows in a HPC+Cloud Environment, Subhendu Behera, Jae-Seung Yeom, Daniel Milroy, Marc Niethammer, Frank Mueller
10. A Semi-Supervised Autoencoder Framework for Community Detection with Network Embeddings, Yuxian Ke, Hongrui Zhang, Yuke LYu, Zifeng Jiao, Limengzi Yuan, Dongqin Zhu
11. Embracing Dynamism: Control State Serialization for High-Performance Python, Zane Fink, Laxmikant Kale
12. Maximizing Insights, Minimizing Data: I/O Time Prediction Using Transfer Learning, Adrian Voss, Radita Liem, Julian Kunkel, Jay Lofstead, Philip Carns, Matthias Mueller
13. Evaluating Cutting-Edge LLMs for Generation and Evaluation of Directive-Based Parallel Programming Model Compiler Tests, Zachariah Sollenberger, Rahul Patel, Saieda Ali Zada, Sunita Chandrasekaran
14. Selection of Supervised Learning-based Sparse Matrix Reordering Algorithms, Tao Tang, Youfu Jiang, Yingbo Cui, Jianbin Fang, Peng Zhang, Lin Peng, Chun Huang
15. A novel Layer-wise Relevance Propagation (LRP)-guided clustering-based compression framework for deploying deep neural network models on memory-constrained devices, Nithyashree R, Debajyoti Sahoo, Divij Ghose, Sashikumaar Ganesan
16. Kâ: Online Log Anomaly Detection Via Unsupervised Typicality Learning, Weicong Chen, Vikash Singh, Zahra Rahmani, Debargha Ganguly, Mohsen Hariri, Vipin Chaudhary
17. An Accelerator for low-computational overhead Privacy-Preserving GNN Inference, Heonhui Jung, Whoiree Ha, Kevin Nam, Youyeon Joo, Lucas Oros, Yunheung Paek
18. LatentTune: Efficient Tuning of High Dimensional Database Parameters via Latent Representation Learning, Sein Kwon, Youngwan Jo, Seungyeon Choi, Jieun Lee, Huijun Jin, Sanghyun Park
19. Predicting Executability and Performance of CNN Kernels on Tenstorrent Hardware Using Machine Learning, Param Gandhi, Sharvil Potdar, Nayan Gogari, Gargi Alavani Prabhu, Sankar Manoj, Santonu Sarkar
20. Performance Modeling for Causal Inference Operators on Neural Processing Units, Neelesh Gupta, Rakshith Jayanth, Dhruv Parikh, Viktor Prasanna
21. Performance-Portable Optimization and Analysis of Multiple Right-Hand Sides in a Lattice QCD Solver, Shiting Long, Gustavo Ramirez-Hidalgo, Stepan Nassyr, Jose Jimenez-Merchan, Andreas Frommer, Dirk Pleiter
22. Zeus: An Efficient GPU Optimization Method Integrating PSO, BFGS, and Automatic Differentiation, Dominik Soos, Marc Paterno, Desh Ranjan, Mohammad Zubair
23. Optimizing Deployment of Unstructured Group Convolutions for Low Latency Inference, Changxin Li, Sanmukh Kuppannagari
24. ML-Driven Auto-tuning Framework for Non-uniform All-to-All Data Exchange, Kunting Qi, Ke Fan, Jens Domke, Seydou Ba, Venkatram Vishwanath, Michael Papka, Sidharth Kumar
25. Distributed Metadata Query on HPC Systems, Suben Kumer Saha, Houjan Tang, Wei Zhang, Suren Byna
26. QIEDP: A Quantum-Inspired Two-Bit Error Correction Protocol for Low-Power Serial Communication in IoT Systems, Om Maheshwari, Bikram Paul
27. Enhanced MPI Intra-node Communication Framework: A Hybrid Approach with Cooperative DMA Channel-based Data Transfer, Shulei Xu, Tu Tran, Dhabaleswar K. Panda
28. Dynamic Resource Management in HPC Systems using Dynamic Processes with PSets, Dominik Huber, Sergio Iserte, Martin Schreiber, Pierre-François Dutot, Olivier Richard, Antonio Pena, Keerthi Gaddameedi, Tobias Neckel, Hans-Joachim Bungartz, Martin Schulz
29. Efficient Fine-Grained GPU Performance Modeling for Distributed Deep Learning of LLM, Biyao Zhang, Mingkai Zheng, Debargha Ganguly, Xuecen Zhang, Vikash Singh, Vipin Chaudhary, Zhao Zhang
30. Grey-Box Machine Learning Prediction of Parallel Application Scaling, Akhil Alasandagutti, Patrick Bridges, Trilce Estrada
31. A Parallel Alternative for Energy-Efficient Neural Network Training and Inferencing, Sudip Seal, Maksudul Alam, Jorge Ramirez, Sajal Dash, Hao Lu
32. Multi-Objective Loss Balancing in Physics-Informed Neural Networks for Fluid Flow Applications, Afrah Farea, Saiful Khan, Mustafa Serdar Celebi
33. NiceSched: Memory access locality aware dynamic nice scheduling in tiered memory, Binwon Song, Minwoo Jo, Hayong Jeong, Heeseung Jo
34. CALL: Context-Aware Low-Latency Retrieval in Disk-Based Vector Databases, Yeonwoo Jeong, Hyunji Cho, Kyuli Park, Youngjae Kim, Sungyong Park
35. Energy-Aware Runtime Resource Harmonizer for Co-running Applications, Vanshika Jain, Varun Parashar, Vivek Kumar, Chiranjib Sur
36. Latency-Aware Deduplication for Efficient Object-Based Big Data Transfers in Heterogeneous Networks, Preethika Kasu, Prince Hamandawana, Tae-Sun Chung