International Conference on High Performance Computing

概要

HiPC 2026 will be the 33rd edition of the IEEE International Conference on High Performance Computing. HiPC serves as a forum to present current work by researchers in the areas of high performance computing, artificial intelligence, hardware systems, edge computing and quantum computing and their scientific, engineering, and commercial applications. Authors are invited to submit original unpublished research manuscripts that demonstrate current research in all areas of high performance computing, artificial intelligence, and quantum computing platforms and their applications. Each submission should be submitted under one of the five broad themes listed below. HiPC proceedings appear in IEEE Xplore Digital Library, which is Scopus-indexed. Distinguished paper awards will be given for outstanding contributed papers. Authors of selected high-quality papers in HiPC 2026 will be invited to submit extended versions of their papers for possible publication in a special issue of the Journal of Parallel and Distributed Computing. High Performance Computing Systems and Applications: This track invites papers that describe original research on using HPC systems and applications, and related advances. Topics include: New parallel and distributed algorithms and design techniques; advances in enhancing algorithmic properties or providing guarantees; Algorithmic techniques for resource allocation and optimization; Provably efficient parallel and distributed algorithms for advanced scientific computing and irregular applications; High performance processing architectures; Memory, cache, networks, and storage architectures; Shared and distributed memory parallel applications; Techniques to enhance parallel performance, or parallel application development and productivity; Software for cloud, data center, and exascale platforms; Software and programming paradigms for heterogeneous platforms. Artificial Intelligence Systems and Applications: This track invites papers that describe original research on using AI/ML for systems design or systems design for AI/ML application and related advances. Topics include: AI/ML methods for system design and optimization; AI/ML methods that benefit HPC applications or HPC system management; Scaling and accelerating machine learning, deep learning, natural language processing and computer vision applications; Efficient model training, inference, and serving; Fairness, interpretability, and explainability for AI/ML applications; End-to-end machine learning pipeline optimization; Compound AI systems and AI agent systems; Methods, algorithms, optimizations, systems and software architecture for scaling AI/ML applications on high-performance computing; Machine learning benchmarks for parallel and distributed platforms and datasets. Quantum Computing Systems and Applications: This track invites papers that describe original research on designing innovative quantum and quantum-classical hybrid algorithms, hardware, applications, compiler and runtime systems. Edge Computing Systems and Applications: This track invites papers that describe original research on building and using edge computing systems and applications, and related advances. Hardware Systems, Accelerators, and Emerging Technologies: This track invites papers that describe original research on building hardware systems, various accelerators, and emerging technologies.

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