Program at a Glance

32nd IEEE International Conference on High Performance Computing, Data, & Analytics

( To download a PDF of the program copy – click here)

Wednesday, December 17, 2025 – Day 1

Workshops and Tutorials: EduHiPC, AI-SPC, Fabrics, RISCV-HPC, ACMS, GSNLP-HiPC, QC-Tut, ROCS

 

Student Research Symposium

 

Thursday, December 18, 2025 – Day 2

HiPC 2025 Inauguration and Opening Remarks (8:30-9:00)

 

Keynote Address: (9:00-10:00)

  • Dr. Pratyush Kumar, Assistant Professor, Computer Science and Engineering, Indian Institute of Technology Madras and Co-Founder Sarvam AI
  • Title: TBA
  • Session Chair: TBA

 

Technical Session 1 – Architecture (10:20 – 12:20)

Session Chair: Debiprasanna Sahoo

  • HOPPS: Hardware-Aware Optimal Phase Polynomial Synthesis with Blockwise Optimization for Quantum Circuits, Xinpeng Li (Case Western Reserve University), Ji Liu (Argonne National Laboratory), Shuai Xu (Case Western Reserve University), Paul Hovland (Argonne National Laboratory), Vipin Chaudhary (Case Western Reserve University)
  • An Accelerator for low-computational overhead Privacy-Preserving GNN Inference, Heonhui Jung (Seoul National University), Whoiree Ha (Seoul National University), Kevin Nam (Seoul National University), Youyeon Joo (Seoul National University), Lucas Oros (Centrale Nantes), Yunheung Paek (Seoul National University)
  • Efficient Fine-Grained GPU Performance Modeling for Distributed Deep Learning of LLM, Biyao Zhang (Case Western Reserve University), Mingkai Zheng (Rutgers University), Debargha Ganguly (Case Western Reserve University), Xuecen Zhang (Case Western Reserve University), Vikash Singh (Case Western Reserve University), Vipin Chaudhary (Case Western Reserve University), Zhao Zhang (Rutgers University)
  • Grey-Box Machine Learning Prediction of Parallel Application Scaling, Akhil Alasandagutti, Patrick Bridges, Trilce Estrada (University of New Mexico)
  • A Parallel Alternative for Energy-Efficient Neural Network Training and Inferencing, Sudip Seal, Maksudul Alam, Jorge Ramirez, Sajal Dash, Hao Lu (Oak Ridge National Laboratory)
  • Latency-Aware Deduplication for Efficient Object-Based Big Data Transfers in Heterogeneous Networks, Preethika Kasu, Prince Hamandawana, Tae-Sun Chung (Ajou University)

 

Sponsor Lightning Talks (12:20 – 13:00)

 

Sponsor Event (TBD) (14:00-15:30)

 

Technical Session 2 – Data Science (16:00 – 18:00)

Session Chair: Shilpika

  • DistFNE: A Distributed-Memory Algorithm for Force-Directed Node Embedding, Isuru Ranawaka (Indiana University), Ariful Azad (Texas A&M University)
  • Predictive Execution of Workflows in a HPC+Cloud Environment, Subhendu Behera (North Carolina State University), Jae-Seung Yeom (Lawrence Livermore National Laboratory), Daniel Milroy (Lawrence Livermore National Laboratory), Marc Niethammer (University of North Carolina at Chapel Hill), Frank Mueller (North Carolina State University)
  • A Semi-Supervised Autoencoder Framework for Community Detection with Network Embeddings, Yuxian Ke, Hongrui Zhang, Yuke LYu, Zifeng Jiao, Limengzi Yuan, Dongqin Zhu (Shihezi University)
  • A novel Layer-wise Relevance Propagation (LRP)-guided clustering-based compression framework for deploying deep neural network models on memory-constrained device, Nithyashree R, Debajyoti Sahoo, Divij Ghose, Sashikumaar Ganesan (Indian Institute of Science Bangalore)
  • K4: Online Log Anomaly Detection Via Unsupervised Typicality Learning, Weicong Chen, Vikash Singh, Zahra Rahmani, Debargha Ganguly, Mohsen Hariri, Vipin Chaudhary (Case Western Reserve University)
  • Multi-Objective Loss Balancing in Physics-Informed Neural Networks for Fluid Flow Applications, Afrah Farea (Istanbul Technical University), Saiful Khan (Rutherford Appleton Laboratory, STFC), Mustafa Serdar Celebi (Istanbul Technical University)

 

Student Research Symposium Activities (10:00-20:00)

 

Industrial Exhibits (10:30-18:30)

 

 

Friday, December 19, 2025 – Day 3

Keynote Address: (8:45-9:45)

  • Dr. Jasjeet Singh Bagla, Professor, Department of Physics, Indian Institute of Science Education and Research, Mohali
  • Title: High Performance Scientific Computing in India: Past, Present and Future
  • Abstract: I will review the initiation and evolution of high performance scientific computing in academia in India.  I will then go on to discuss the problems being faced by the scientific community and possible solutions as we look to upscale to exa-scale computing and routine use of AI/ML in scientific applications.  AI/ML/LLMs are expected to play an important role in scientific computing as we try to overcome the limitations of standard approaches for highly complex problems.  In particular I will discuss the factors that often determine effective usage of facilities by the larger community: easy to use setup, maintenance, documentation, support and training.  Another factor that should determine the approach we take for the future is access to top of the line facilities.  I will try to make a case for possible solutions that take these factors into consideration.
  • Session Chair: TBA

 

Technical Session 3 – Best Paper Nominees (10:00 – 12:00)

Session Chair: Suren Byna

  • Assessing Processor Allocation Strategies for Online List Scheduling of Moldable Task Graphs, Mary Jeevana Pudota, Chitta Krishna Chaitanya Reddy, Sai Rithvik Gundla, Hongyang Sun (University of Kansas)
  • Scalable XML Parsing and XPath Querying with Regular Expression Support, Robert K Samuel, Rupesh Nasre (Indian Institute of Technolog, Madras)
  • Energy-Aware Runtime Resource Harmonizer for Co-running Applications, Vanshika Jain (IIIT Delhi), Varun Parashar (IIIT Delhi), Vivek Kumar (IIIT Delhi), Chiranjib Sur (Shell, India)
  • ML-Driven Auto-tuning Framework for Non-uniform All-to-All Data Exchange, Kunting Qi (University of Illinois Chicago), Ke Fan (University of Illinois Chicago), Jens Domke (RIKEN Center for Computational Science), Seydou Ba (RIKEN Center for Computational Science), Venkatram Vishwanath (Argonne National Laboratory), Michael Papka (University of Illinois Chicago), Sidharth Kumar (University of Illinois Chicago)
  • Enhanced MPI Intra-node Communication Framework: A Hybrid Approach with Cooperative DMA Channel-based Data Transfer, Shulei Xu, Tu Tran, Dhabaleswar K. Panda (The Ohio State University)
  • CALL: Context-Aware Low-Latency Retrieval in Disk-Based Vector Databases, Yeonwoo Jeong, Hyunji Cho, Kyuli Park, Youngjae Kim, Sungyong Park (Sogang University)

 

Sponsor Event – Gold Sponsor Talks (13:00-15:00)

 

Technical Session 4 – Algorithms (15:20 – 17:20)

Session Chair: Dirk Pleiter

  • IMBPS – Iterative MLP Blocks with Parameter Splits for Improving LLM inference, Ganesh Prasad Nagaraja (AMD), Arun Coimbatore Ramachandran (AMD), Shubhendu Sharma (AMD), Govindarajan R (Indian Institute of Science (IISc)), Prakash Raghavendra (AMD)
  • SFCC: A Scalable and Flexible RDMA Congestion Control Algorithm, Yi Liao (China Telecom State Cloud Technology Co., Ltd), Anran Xu (China Telecom State Cloud Technology Co., Ltd), Wenming Zheng (China Telecom State Cloud Technology Co., Ltd), Biyao Che (China Telecom Research Institute), Jian Tang (China Telecom State Cloud Technology Co., Ltd), Yonghang Zhang (China Telecom State Cloud Technology Co., Ltd), Xiaoping Fan (China Telecom State Cloud Technology Co., Ltd), Luren Liu (China Telecom State Cloud Technology Co., Ltd), Ying Chen (China Telecom Research Institute)
  • Tuple Spaces for Workflow Scheduling and core-level job malleability in HPC, Juan Asensio Ayesa (Nologin Oceanic Weather Systems), Darío Suárez Gracia (Universidad de Zaragoza), Lluis Castrillo-Acuña (Nologin Oceanic Weather Systems)
  • Selection of Supervised Learning-based Sparse Matrix Reordering Algorithms, Tao Tang, Youfu Jiang, Yingbo Cui, Jianbin Fang, Peng Zhang, Lin Peng, Chun Huang (College of Computer Science and Technology, National University of Defense Technology)
  • Zeus: An Efficient GPU Optimization Method Integrating PSO, BFGS, and Automatic Differentiation, Dominik Soos (Old Dominion University), Marc Paterno (Fermi National Accelerator Laboratory), Desh Ranjan (Old Dominion University), Mohammad Zubair (Old Dominion University)
  • QIEDP: A Quantum-Inspired Two-Bit Error Correction Protocol for Low-Power Serial Communication in IoT Systems, Om Maheshwari, Bikram Paul (IIT Mandi)

 

Conference Poster Lightning Talks (17:30-19:00)

Session Chair: TBA

 

Conference Poster Session (19:00-20:30)

 

Student Research Symposium Activities (10:00-20:00)

 

Industrial Exhibits (10:30-18:30)

 

 

Saturday, December 20, 2025 – Day 4

Keynote Address: (8:45-9:45)

  • Dr. Christos Kozyrakis, Professor, Electrical Engineering and Computer Science, Stanford University & NVIDIA Research
  • Title: A Case for Scale-out AI
  • Session Chair: TBA

 

Technical Session 5 – Software System and Resource Management (10:00 – 12:00)

Session Chair: Subhasis Banerjee

  • Embracing Dynamism: Control State Serialization for High-Performance Python, Zane Fink, Laxmikant Kale (University of Illinois Urbana-Champaign)
  • Optimizing Deployment of Unstructured Group Convolutions for Low Latency Inference, Changxin li, Sanmukh Kuppannagari (Case Western Reserve University)
  • Distributed Metadata Query on HPC Systems, Suben Kumer Saha (The Ohio State University), Houjan Tang (Lawrence Berkeley Laboratory), Wei Zhang (Lawrence Berkeley Laboratory), Suren Byna (The Ohio State University)
  • Dynamic Resource Management in HPC Systems using Dynamic Processes with PSets, Dominik Huber (Technical University Munich), Sergio Iserte (Barcelona Supercomputing Center), Martin Schreiber (University of Grenoble Alpes), Pierre-François Dutot (University of Grenoble Alpes), Olivier Richard (University of Grenoble Alpes), Antonio Pena (Barcelona Supercomputing Center), Keerthi Gaddameedi (Technical University Munich), Tobias Neckel (Technical University Munich), Hans-Joachim Bungartz (Technical University Munich), Martin Schulz (Technical University Munich)
  • NiceSched : Memory access locality aware dynamic nice scheduling in tiered memory, Binwon Song, Minwoo Jo, Hayong Jeong, Heeseung Jo (Chungbuk National University)
  • Performance-Portable Optimization and Analysis of Multiple Right-Hand Sides in a Lattice QCD Solver, Shiting Long (KTH Royal Institute of Technology), Gustavo Ramirez-Hidalgo (Forschungszentrum Jülich GmbH), Stepan Nassyr (Forschungszentrum Jülich GmbH), Jose Jimenez-Merchan (University of Wuppertal), Andreas Frommer (University of Wuppertal), Dirk Pleiter (KTH Royal Institute of Technology)

 

Technical Session 6 – AI/ML (13:00 – 15:00)

Session Chair: TBA

  • UniOMP: Unified Optimization Framework for OpenMP Offload under Machine Learning Guidance, Jianan Li ( Zhengzhou University), Lin Han (National Supercomputing Center in Zhengzhou), Shaoliang Peng (National Supercomputing Center in Zhengzhou), Yingying Li (National Supercomputing Center in Zhengzhou), Wei Gao (National Supercomputing Center in Zhengzhou)
  • Maximizing Insights, Minimizing Data: I/O Time Prediction Using Transfer Learning, Adrian Voss (RWTH Aachen University), Radita Liem (RWTH Aachen University), Julian Kunkel (Georg-August University Göttingen), Jay Lofstead (Sandia National Laboratory), Philip Carns (Argonne National Laboratory), Matthias Mueller (RWTH Aachen University)
  • 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 (University of Delaware)
  • LatentTune: Efficient Tuning of High Dimensional Database Parameters via Latent Representation Learning, Sein Kwon, Youngwan Jo, Seungyeon Choi, Jieun Lee, Huijun Jin, Sanghyun Park (Yonsei University)
  • Predicting Executability and Performance of CNN Kernels on Tenstorrent Hardware Using Machine Learning, Param Gandhi (BITS PIlani K K Birla Goa Campus), Sharvil Potdar (BITS PIlani K K Birla Goa Campus), Nayan Gogari (BITS PIlani K K Birla Goa Campus), Gargi Alavani Prabhu (BITS PIlani K K Birla Goa Campus), Sankar Manoj (Tenstorrent), Santonu Sarkar (BITS PIlani K K Birla Goa Campus)
  • Context-Driven Performance Modeling of Causal Inference Operators on Neural Processing Units, Neelesh Gupta, Rakshith Jayanth, Dhruv Parikh, Viktor Prasanna (University of Southern California)

 

Student Research Symposium Lightning Talks (15:20-17:20)

Session Chair: TBA

 

Student Research Symposium Poster Session (18:00-20:00)

 

Student Research Symposium Activities (10:00-20:00)

 

Industrial Exhibits (10:30-18:00)

 

Closing and Awards Ceremony, Banquet Talk, Banquet (19:30-22:00)

 

HiPC 2025 is the 32st edition of the IEEE International Conference on High Performance Computing, Data, and Analytics. It will be an in-person event in Hyderabad, India, from December 17 to December 20, 2025. 

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