Accepted Papers

33^rd 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. Making FP64 Fast Again on Modern GPUs, Ricky Dev, Pradeep Ramachandran
9. 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
10. 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
11. Scalable Multi Telemetry Cross Layer Observability for Quantum Secure V2X Networks, Rohit Bantupalli, Bheemappa Halavar, Kartick Sutradhar
12. GPU-RMQ: A GPU-Optimized Segment Tree for Accelerating Range Minimum Queries, Lara Kreis, Felix Schuhknecht, Justus Henneberg, Bertil Schmidt, Valentin Henkys
13. A Parallel Algorithm for Finding Small Connected Spanning Subhypergraphs, Maulein Pathak, Neelima Gupta, Yogish Sabharwal
14. Data-Driven Mixed-Precision Strategy Selection for Sparse Matrix-Vector Multiplication, Adarsh Raj, Anshu S Anand, Shivesh Pratap Mall
15. 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
16. 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
17. 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
18. PYRAMID: Progressive DPU-Offloaded Combinatorial Optimization on Dynamic Graphs, Prajjwal Nijhara, Dip Sankar Banerjee, Neha Sharma
19. VersalAlign: Scalable Data Orchestration for Algorithm-Agnostic Genomic Alignment on Versal AI Engine Array, Soumitra Ghosh, VENKATA SURESH REDDY PURINI
20. RHiDE: Resource-adaptive Hierarchical Distributed Learning on the Edge, Muzafar Ahmad Wani, Preeti Malakar, Garapati Naga Lakshmi Mahathi
21. GELA: A Global Queuing Latency Aware Lightweight Framework for RDMA Load Balancing, pu zhao, Jia Wang, Kaifei Tang
22. Quantum-Assisted Multi-Team Search-Route Optimization for Missing-Person Recovery, Gowtham Marella, Srinivasa KG, Kamna Sahu
23. Libfabric-INC: Accelerate OFI Libfabric Collectives with Switch-level In-Network Computing, Sungjae Lee, Benjamin Michalowicz, Tu Tran, Panda Dhabaleswar, Goutham Kalikrishna Reddy Kuncham
24. 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
25. AIR: Adaptive Inference Routing for Onboard and Edge-Cloud Perception, Vidya Vepoori, Prashanth P S, Mohana Bathula, Praveen Tammana, Varshith Nakirikanti
26. 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
27. Characterizing SIMD and Multithreaded GEMM Performance on the Hexagon DSP, Vishnuvardhan Daram, Sathya Peri, Shanmugavignesh T
28. Don't Just Impute, Detect: Task-Aware Diffusion Pipelines for Edge Anomaly Detection, Jeongsu Park, Yuji Lim, Taehyun Yun, Moohong Min, Geonwoo Kim
29. Accelerating MRV-Based Dynamic Quantum Circuit Compilation via Bit-Parallel Hadamard Product, Yuki Nakaya, Fumihiko Ino, Masao Okita
30. SQD-Agent: LLM-driven agentic framework for Quantum Chemistry workflows, Kislaya Tiwari, Anupama Ray
31. From Local Beliefs to Global Knowledge: Epistemic Reliability in Federated Learning, Fatema Vadnagarwala, Prashanth PVN
32. A Systems Design Framework for Hybrid Quantum–Classical Methods in Density Functional Theory, Namrataa Kkommineni, Soham Phulare, Samrit Maity, Sanjay Wandhekar, Shashank Sharma
33. Exploiting Laser Scaling and Variable Precision in Sparse Photonic-based Neural Networks, Yuan Li, Prakash Chand Kuve, Eldhose Peter, Avinash Karanth
34. Defect-Aware Reconfigurable Spin-Photon Integrated Quantum Computing Architecture, Zach Takacs, Wojciech Jadwisienczak, Harsha Chenji, Avinash Karanth
35. A Near-Cache Architectural Framework for Cryptography, Jingyao Zhang, Elaheh Sadredini
36. Elastic Scheduling for Scientific Workflows: Design, Implementation, and Evaluation on HPC Systems, Rajat Bhattarai, Howard Pritchard, Sheikh Ghafoor
37. AdapterSlots++ Meets Speculative Decoding: Draft-Side SGMV for Faithful, Scalable Multi-Tenant LoRA Serving, SHASHANK TIPPANAVAR, Vivek Yadav
38. NUMA Torch: NUMA-Aware LLM Inference on Multi Socket CPU Architectures, Thisara Rathnayaka Weerakoon, Shavin Anjitha, Ishan Dewpura, Tharindu Patabandi, Niman Ransindu, Sanath Jayasena
39. Scaling Block Diffusion Large Language Models using 3D Hierarchical Parallelism, Shoaib Mohammad, Panda Dhabaleswar, Quentin Anthony
40. Cost-Aware and Entropy-Guided Scheduling for Parallel Compression, S Biplab Raut
41. Sketch-Arch: An Energy-efficient Processing-Near-Memory Architecture for Genome Sketching, Saiman Dahal, Partha Pande, Pratyush Dhingra, Ananth Kalyanaraman
42. GenoX: Exploiting Thread Signals for Dynamic CPU Scaling in Genomics Workflows, Martin Putra, Haryadi S. Gunawi, In Kee Kim, Robert Grossman
43. Achieving Efficient Block-Sparse Attention on GPUs with Hypergraph-Guided Scheduling, Changxin Li, Sanmukh Kuppannagari
44. Multilevel Graph Partitioning on GPU Supercomputers, Michael Gilbert, Erik Boman, Kamesh Madduri
45. 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
46. 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
47. LayComp: Layer-by-Layer Compression for Transformers, Rohit Prajapati, Kapil Mathur, Mudit Sand, Subhasis Banerjee
48. Qiskit-Fortran: Leveraging Fortran Constructs for Programming Quantum Computers, Aaryav Mishra, Dhinakaran Vinayagamurthy
49. Reward-Driven Power Scheduling under Power Capping with DVFS-UFS Co-Optimization, Sunil Kumar, Vivek Kumar
50. gSubCSR: Dynamic Graph Algorithms for Out-of-GPU-Memory Computation, Ullas A, Ramaswamy Govinarajan
51. 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
52. SCOPE: Shared-stage CPU–DPU Orchestration for PIM Environments, Minsu Choi, Dukyun Nam, Jeonggeun Kim
53. 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
54. Bodhi: Intelligent and Explainable LLM-Assisted HPC Scheduling, SURYACHANDRA PRASAD PASUPULETI, Steven Wright
55. Grammar-Based Workload Synthesis for What-If Exploration of HPC I/O, Zhaobin Zhu, Kathryn Mohror, Chen Wang, Sarah Neuwirth
56. Gate-Type-Dependent Portability of Quantum Circuits Across SDK Boundaries, Chandrachud Pati, Yogesh Simmhan, Abdur Rahman Hatim
57. EcoShot: TraceSafe Energy-Proportional Measurement Termination for Sustainable Quantum-HPC Workflows, Krishna Bhatia, Gautami Sanjay Naik
58. DEAL: Dead-Entry-Aware L1 TLB Bypassing for Multi-Chiplet GPUs, Keerthisagar Kokkiligadda, Varun Venkitaraman, Aniket Gupta, Virendra Singh, Tejeshwar Thorawade
59. Pipeline-based High Performance Scaling of LLM-Driven Distributed Knowledge Graph Construction, Sajeenthiran Parameswaran, Abineyan Ravichandran, Kopimenan Logananthan, Miyuru Dayarathna, Sanath Jayasena, Toyotaro Suzumura

Titles in bold are Best Paper nominees.

HiPC 2026 is the 33^rd 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.

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