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ORCID32nd HiPC 2025: Hyderabad, India
- 32nd IEEE International Conference on High Performance Computing, Data, and Analytics, HiPC 2025, Hyderabad, India, December 17-20, 2025. IEEE 2025, ISBN 979-8-3315-6664-7
- Xinpeng Li, Ji Liu, Shuai Xu, Paul D. Hovland, Vipin Chaudhary:
HOPPS: Hardware-Aware Optimal Phase Polynomial Synthesis with Blockwise Optimization for Quantum Circuits. 1-11 - Heon Hui Jung, Whoi Ree Ha, Kevin Nam, Youyeon Joo, Lucas Oros, Yunheung Paek:
An Accelerator for Low-Computational Overhead Privacy-Preserving GNN Inference. 12-21 - Biyao Zhang, Mingkai Zheng, Debargha Ganguly, Xuecen Zhang, Vikash Singh, Vipin Chaudhary, Zhao Zhang:
Efficient Fine-Grained Gpu Performance Modeling for Distributed Deep Learning of Llm. 22-32 - Akhil Alasandagutti, Patrick G. Bridges, Trilce Estrada:
Grey-Box Machine Learning Prediction of Parallel Application Scaling. 33-43 - Sudip K. Seal, Maksudul Alam, Jorge Ramirez, Sajal Dash, Hao Lu:
A Parallel Alternative for Energy-Efficient Neural Network Training and Inferencing. 44-54 - Preethika Kasu, Prince Hamandawana, Tae-Sun Chung:
Latency-Aware Deduplication for Efficient Object-Based Big Data Transfers in Heterogeneous Networks. 55-65 - Isuru Ranawaka, Ariful Azad:
DistFNE: A Distributed-Memory Algorithm for Force-Directed Node Embedding. 66-75 - Subhendu Behera, Jae-Seung Yeom, Daniel Milroy, Marc Niethammer, Frank Mueller:
Predictive Execution of Workflows in a HPC+Cloud Environment. 76-86 - Debajyoti Sahoo, Nithyashree Ravi, Divij Ghose, Sashikumaar Ganesan:
Layer-Wise Relevance Propagation (LRP)-Guided Clustering-Based Compression Framework for Deploying Deep Neural Network Models on Memory-Constrained Devices. 87-95 - Weicong Chen, Vikash Singh, Zahra Rahmani, Debargha Ganguly, Mohsen Hariri, Vipin Chaudhary:
K4: Online Log Anomaly Detection Via Unsupervised Typicality Learning. 96-107 - Afrah Farea, Saiful Khan, Mustafa Serdar Çelebi:
Multi-Objective Loss Balancing in Physics-Informed Neural Networks for Fluid Flow Applications. 108-118 - Mary Jeevana Pudota, Krishna Chaitanya Reddy Chitta, Sai Rithvik Gundla, Hongyang Sun:
Assessing Processor Allocation Strategies for Online Scheduling of Moldable Task Graphs. 119-129 - Robert Samuel, Rupesh Nasre:
Scalable XML Parsing and XPath Querying with Regular Expression Support. 130-139 - Vanshika Jain, Varun Parashar, Vivek Kumar, Chiranjib Sur:
Energy-Aware Runtime Resource Harmonizer for Co-Running Applications. 140-150 - Kunting Qi, Ke Fan, Jens Domke, Seydou Ba, Venkatram Vishwanath, Michael E. Papka, Sidharth Kumar:
Machine Learning Driven Auto-Tuning for Non-Uniform All-to-All Collectives. 151-160 - Shulei Xu, Tu Tran, Dhabaleswar K. Panda:
Enhanced MPI Intra-Node Communication Framework: A Hybrid Approach with Cooperative DMA Channel-Based Data Transfer. 161-171 - Yeonwoo Jeong, Hyunji Cho, Kyuli Park, Youngjae Kim, Sungyong Park:
CALL: Context-Aware Low-Latency Retrieval in Disk-Based Vector Databases. 172-182 - Ganesh Prasad Nagaraja, Arun Ramachandran, Shubhendu Sharma, R. Govindarajan, Prakash Sathyanath Raghavendra:
IMBPS - Iterative MLP Blocks with Parameter Splits for Improving LLM Inference. 183-193 - Yi Liao, Anran Xu, Wenming Zheng, Biyao Che, Jian Tang, Yonghang Zhang, Xiaoping Fan, Luren Liu, Ying Chen:
SFCC: A Scalable and Flexible RDMA Congestion Control Algorithm. 194-204 - Juan Asensio Ayesa, Darío Suárez Gracia, Lluís Castrillo-Acuña:
Tuple Spaces for Workflow Scheduling and Core-Level Malleability in Hpc. 205-215 - Tao Tang, Youfu Jiang, Yingbo Cui, Jianbin Fang, Peng Zhang, Lin Peng, Chun Huang:
Selection of Supervised Learning-Based Sparse Matrix Reordering Algorithms. 216-224 - Dominik Soós, Marc F. Paterno, Desh Ranjan, Mohammad Zubair:
ZEUS: An Efficient GPU Optimization Method Integrating PSO, BFGS, and Automatic Differentiation. 225-235 - Om Maheshwari, Bikram Paul:
QIEDP: A Quantum-Inspired Two-Bit Error Correction Protocol for Low-Power Serial Communication in IoT Systems. 236-245 - Zane Fink, Laxmikant V. Kalé:
Embracing Dynamism: Control State Serialization for High-Performance Python. 246-256 - Changxin Li, Sanmukh Kuppannagari:
Optimizing Deployment of Unstructured Group Convolutions for Low Latency Inference. 257-267 - Suben Kumer Saha, Houjan Tang, Wei Zhang, Suren Byna:
Distributed Metadata Querying on HPC Systems. 268-278 - Dominik Huber, Keerthi Gaddameedi, Tobias Neckel, Hans-Joachim Bungartz, Martin Schulz, Pierre-François Dutot, Olivier Richard, Martin Schreiber, Sergio Iserte, Antonio J. Peña:
Dynamic Resource Management in HPC Systems Using Dynamic Processes with PSets. 279-289 - Binwon Song, Minwoo Jo, Hayong Jeong, Heeseung Jo:
NiceSched : Memory Locality Aware Dynamic Priority Scheduling in Tiered Memory. 290-300 - Shiting Long, Gustavo Ramirez-Hidalgo, Stepan Nassyr, Jose Jimenez-Merchan, Andreas Frommer, Dirk Pleiter:
Performance-Portable Optimization and Analysis of Multiple Right-Hand Sides in a Lattice QCD Solver. 301-311 - Jianan Li, Lin Han, Shaoliang Peng, Yingying Li, Wei Gao:
UniOMP: Unified Optimization Framework for OpenMP Offload Under Machine Learning Guidance. 312-321 - Adrian Voß, Radita Liem, Julian Kunkel, Jay F. Lofstead, Philip H. Carns, Matthias Müller:
Maximizing Insights, Minimizing Data: I/O Time Prediction Using Transfer Learning. 322-332 - Zachariah Sollenberger, Rahul Patel, Saieda Ali Zada, Sunita Chandrasekaran:
LLM4VV:: Evaluating Cutting-Edge LLMs for Generation and Evaluation of Directive-Based Parallel Programming Model Compiler Tests. 333-342 - Sein Kwon, Youngwan Jo, Seungyeon Choi, Jieun Lee, Huijun Jin, Sang-Hyun Park:
LatentTune: Efficient Tuning of High Dimensional Database Parameters via Latent Representation Learning. 343-353 - Param Gandhi, Sharvil Potdar, Nayan Gogari, Gargi Alavani Prabhu, Sankar Manoj, Santonu Sarkar:
Predicting Executability and Performance of CNN Kernels on Tenstorrent Hardware Using Machine Learning. 354-364 - Neelesh Gupta, Rakshith Jayanth, Dhruv Parikh, Viktor K. Prasanna:
Context-Driven Performance Modeling for Causal Inference Operators on Neural Processing Units. 365-375
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