Accepted Papers

33rd IEEE International Conference on High Performance Computing

HiPC 2026 List of Accepted Papers

1. cuSBF: A Minimizer-Aware Bloom Filter for Genomic Sequence Data on Modern GPUs, Tim Dortmann, Bertil Schmidt, Markus Vieth
2. DATune: Performance Characterization and Autotuning for Edge Inference in Digital Agriculture, Tian Chen, Dhabaleswar K. (DK) Panda, Quentin Anthony
3. Beyond Regression Accuracy: Evaluating Runtime Prediction for Scheduling Input-Sensitive Workloads, Sai Rithvik Gundla, Ana Gainaru, Heagen Bell, Hongyang Sun, Mary Jeevana Pudota
4. Evolve Once, Measure Many: Accelerating Statevector Simulation of Krylov Quantum Diagonalisation on Distributed Multi-GPU Systems, Aadithya Iyer, Phani Motamarri, Nihar Shah
5. Fault-tolerant MPI I/O based on Replication, Sarthak Joshi, Sathish Vadhiyar
6. Aneris: An Adaptive Data Importance Characterizer for Multi-Tiered I/O Systems, Neeraj Rajesh, Xian-He Sun, Luke Logan, Anthony Kougkas
7. ChainSkip: Sublinear Prefix Cache Boundary Detection for Long-Context LLM Inference, shubhendu sharma, Arun Ramachandran, GANESH PRASAD NAGARAJA, Viren Radhakrishnan
8. A Data-Centric Engine for Large Language Model Inference on Server-Class CPUs, Arjun Muraleedharan, Shubhendu Sharma, Eashan Dash, Utkarsh Katiyar, Phani Shankar Madineni, Arun Ramachandran, GANESH PRASAD NAGARAJA, Prakash Raghavendra
9. MISO-Write: Write-Cost-Aware CNN Scheduling and Flash Write Footprint-Guided Inference Optimization for Battery-less devices, Satya Jaswanth Badri, Aaditya Deokar, Jaspinder Kaur
10. Scalable Multi Telemetry Cross Layer Observability for Quantum Secure V2X Networks, Rohit Bantupalli, Bheemappa Halavar, Kartick Sutradhar
11. GPU-RMQ: A GPU-Optimized Segment Tree for Accelerating Range Minimum Queries, Lara Kreis, Felix Schuhknecht, Justus Henneberg, Bertil Schmidt, Valentin Henkys
12. A Parallel Algorithm for Finding Small Connected Spanning Subhypergraphs, Maulein Pathak, Neelima Gupta, Yogish Sabharwal
13. Data-Driven Mixed-Precision Strategy Selection for Sparse Matrix-Vector Multiplication, Adarsh Raj, Anshu S Anand, Shivesh Pratap Mall
14. Detecting Concept Drift in Text Classification via Faithfulness-Validated Explanation Shifts in Label-Scarce Settings, Abhay Tiwari, Helen Vijitha P, Shubham Gupta, Johanan Joysingh Sathyasingh, Prayasha Nanda
15. Scalable Distributed Training of Fourier Neural Operators for Battery Energy Storage System Health Prediction, Jong Choi, Anika Tabassum, Ramakrishnan Kannan, Srikanth Allu, Chih-Hsuan Hung
16. An Enhanced VGG-Style Deep Convolutional Neural Network with Bandpass-Filtered STFT Features for Surface EMG-Based Airwriting Recognition, Aryan Ojha, Nileshchandra Pikle, Kunal Bandale, Pooja Jain, Snehal Shinde, Tausif Diwan
17. PYRAMID: Progressive DPU-Offloaded Combinatorial Optimization on Dynamic Graphs, Prajjwal Nijhara, Dip Sankar Banerjee, Neha Sharma
18. VersalAlign: Scalable Data Orchestration for Algorithm-Agnostic Genomic Alignment on Versal AI Engine Array, Soumitra Ghosh, VENKATA SURESH REDDY PURINI
19. RHiDE: Resource-adaptive Hierarchical Distributed Learning on the Edge, Muzafar Ahmad Wani, Preeti Malakar, Garapati Naga Lakshmi Mahathi
20. GELA: A Global Queuing Latency Aware Lightweight Framework for RDMA Load Balancing, pu zhao, Jia Wang, Kaifei Tang
21. Quantum-Assisted Multi-Team Search-Route Optimization for Missing-Person Recovery, Gowtham Marella, Srinivasa KG, Kamna Sahu
22. Libfabric-INC: Accelerate OFI Libfabric Collectives with Switch-level In-Network Computing, Sungjae Lee, Benjamin Michalowicz, Tu Tran, Panda Dhabaleswar, Goutham Kalikrishna Reddy Kuncham
23. Design and Implementation of CXI-Hardware Aware Collectives in PGAS: Early Experiences, Benjamin Michalowicz, Jaden Hicks, Sungjae Lee, Yong Chen, Michael Beebe, Panda Dhabaleswar, Andrew McNamara, Steve Poole, Yash Kumar, Wendy Poole
24. AIR: Adaptive Inference Routing for Onboard and Edge-Cloud Perception, Vidya Vepoori, Prashanth P S, Mohana Bathula, Praveen Tammana, Varshith Nakirikanti
25. Evaluating Modern Storage Systems for Accelerating Scientific Artificial Intelligence, Anjus George, Ross Miller, Michael J. Brim, James Simmons, Lawrence Sorrillo, Bran Radovanovic, Christopher Brumgard, Rick Mohr, Christopher Zimmer
26. Characterizing SIMD and Multithreaded GEMM Performance on the Hexagon DSP, Vishnuvardhan Daram, Sathya Peri, Shanmugavignesh T
27. Don't Just Impute, Detect: Task-Aware Diffusion Pipelines for Edge Anomaly Detection, Jeongsu Park, Yuji Lim, Taehyun Yun, Moohong Min, Geonwoo Kim
28. Accelerating MRV-Based Dynamic Quantum Circuit Compilation via Bit-Parallel Hadamard Product, Yuki Nakaya, Fumihiko Ino, Masao Okita
29. SQD-Agent: LLM-driven agentic framework for Quantum Chemistry workflows, Kislaya Tiwari, Anupama Ray
30. From Local Beliefs to Global Knowledge: Epistemic Reliability in Federated Learning, Fatema Vadnagarwala, Prashanth PVN
31. A Systems Design Framework for Hybrid Quantum–Classical Methods in Density Functional Theory, Namrataa Kkommineni, Soham Phulare, Samrit Maity, Sanjay Wandhekar, Shashank Sharma
32. Exploiting Laser Scaling and Variable Precision in Sparse Photonic-based Neural Networks, Yuan Li, Prakash Chand Kuve, Eldhose Peter, Avinash Karanth
33. Defect-Aware Reconfigurable Spin-Photon Integrated Quantum Computing Architecture, Zach Takacs, Wojciech Jadwisienczak, Harsha Chenji, Avinash Karanth
34. A Near-Cache Architectural Framework for Cryptography, Jingyao Zhang, Elaheh Sadredini
35. Elastic Scheduling for Scientific Workflows: Design, Implementation, and Evaluation on HPC Systems, Rajat Bhattarai, Howard Pritchard, Sheikh Ghafoor
36. AdapterSlots++ Meets Speculative Decoding: Draft-Side SGMV for Faithful, Scalable Multi-Tenant LoRA Serving, SHASHANK TIPPANAVAR, Vivek Yadav
37. NUMA Torch: NUMA-Aware LLM Inference on Multi Socket CPU Architectures, Thisara Rathnayaka Weerakoon, Shavin Anjitha, Ishan Dewpura, Tharindu Patabandi, Niman Ransindu, Sanath Jayasena
38. Scaling Block Diffusion Large Language Models using 3D Hierarchical Parallelism, Shoaib Mohammad, Panda Dhabaleswar, Quentin Anthony
39. Cost-Aware and Entropy-Guided Scheduling for Parallel Compression, S Biplab Raut
40. Sketch-Arch: An Energy-efficient Processing-Near-Memory Architecture for Genome Sketching, Saiman Dahal, Partha Pande, Pratyush Dhingra, Ananth Kalyanaraman
41. GenoX: Exploiting Thread Signals for Dynamic CPU Scaling in Genomics Workflows, Martin Putra, Haryadi S. Gunawi, In Kee Kim, Robert Grossman
42. Multilevel Graph Partitioning on GPU Supercomputers, Michael Gilbert, Erik Boman, Kamesh Madduri
43. Accelerating Autotuning via Knowledge Distillation from a Hardware-Aware Performance Model, Takuto Takahashi, Takashi Soga, Keichi Takahashi, Arata Endo, Tomonori Hayami, Susumu Date, Kota Sakakura
44. Thermal-Predictive Resource Management in Cloud Data Centers: A Hybrid Seasonal-Gradient-Recurrent Approach with Uncertainty-Gated Scheduling, Khushi Jain, Viji Viswanathan, Mohamedsipli M, Vengadeswaran Shanmugasundaram
45. LayComp: Layer-by-Layer Compression for Transformers, Rohit Prajapati, Kapil Mathur, Mudit Sand, Subhasis Banerjee
46. Qiskit-Fortran: Leveraging Fortran Constructs for Programming Quantum Computers, Aaryav Mishra, Dhinakaran Vinayagamurthy
47. Reward-Driven Power Scheduling under Power Capping with DVFS-UFS Co-Optimization, Sunil Kumar, Vivek Kumar
48. gSubCSR: Dynamic Graph Algorithms for Out-of-GPU-Memory Computation, Ullas A, Ramaswamy Govinarajan
49. SVM-based ultra low-latency accelerator for qubit state discrimination, Shankaranarayanan H, Benjamin Lienhard, Shantharam Kalipatnapu, Vibhor Singh, Pradeep Kumar Gautam, Chetan Singh Thakur, Ujjawal Singhal
50. SCOPE: Shared-stage CPU–DPU Orchestration for PIM Environments, Minsu Choi, Dukyun Nam, Jeonggeun Kim
51. Rethinking Video Anomaly Detection on Edge Devices: A Systems-Level Study of Thermal, Memory, and Paradigm Constraints, Dr. Mirnalinee T T, Bhuvan S, Bhuvana J, Charan Balakrishnan, Dr Bharathi B, Ananth Narayanan P, Darrshan Hariharan
52. Bodhi: Intelligent and Explainable LLM-Assisted HPC Scheduling, SURYACHANDRA PRASAD PASUPULETI, Steven Wright
53. Grammar-Based Workload Synthesis for What-If Exploration of HPC I/O, Zhaobin Zhu, Kathryn Mohror, Chen Wang, Sarah Neuwirth
54. Gate-Type-Dependent Portability of Quantum Circuits Across SDK Boundaries, Chandrachud Pati, Yogesh Simmhan, Abdur Rahman Hatim
55. EcoShot: TraceSafe Energy-Proportional Measurement Termination for Sustainable Quantum-HPC Workflows, Krishna Bhatia, Gautami Sanjay Naik
56. DEAL: Dead-Entry-Aware L1 TLB Bypassing for Multi-Chiplet GPUs, Keerthisagar Kokkiligadda, Varun Venkitaraman, Aniket Gupta, Virendra Singh, Tejeshwar Thorawade

 

Titles in bold are Best Paper nominees.

HiPC 2026 is the 33rd edition of the IEEE International Conference on High Performance Computing. It will be an in-person event in Bengaluru, India, from December 16 to December 19, 2026. 

Follow us on:

IEEE Conduct and Safety Statement

IEEE believes that science, technology, and engineering are fundamental human activities, for which openness, international collaboration, and the free flow of talent and ideas are essential. Its meetings, conferences, and other events seek to enable engaging, thought provoking conversations that support IEEE’s core mission of advancing technology for humanity. Accordingly, IEEE is committed to providing a safe, productive, and welcoming environment to all participants, including staff and vendors, at IEEE-related events.

IEEE has no tolerance for discrimination, harassment, or bullying in any form at IEEE-related events. All participants have the right to pursue shared interests without harassment or discrimination in an environment that supports diversity and inclusion.

Participants are expected to adhere to these principles and respect the rights of others. IEEE seeks to provide a secure environment at its events. Participants should report any behavior inconsistent with the principles outlined here, to on site staff, security or venue personnel, or to  [email protected].

IEEE Computer Society Open Conference Statement

Expanding participation in computing is central to the goals of the IEEE Computer Society and all of its conferences. The IEEE Computer Society is firmly committed to broad participation in all sponsored activities, including but not limited to, technical communities, steering committees, conference organizations, standards committees, and ad hoc committees that welcome the entire global community. IEEE’s mission to foster technological innovation and excellence to benefit humanity requires the talents and perspectives of people with many disciplinary backgrounds.

All individuals are entitled to participate in any IEEE Computer Society activity free of discrimination and harassment.