Overview

The ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC) is the premier annual conference for presenting the latest research on the design, implementation, evaluation, and use of parallel and distributed systems for high-end computing. The 35th HPDC will take place in Cleveland, Ohio, United States, from July 13 to 16, 2026.

Scope and Topics

We welcome submissions on high-performance parallel and distributed computing (HPDC) topics, including but not limited to: clouds, clusters, grids, big data, massively multicore, and extreme-scale computing systems. Experience reports of operational deployments that provide significantly novel insights for future research on HPDC applications and systems are also welcome.

In the context of high-performance parallel and distributed computing, the topics of interest include, but are not limited to:

    Infrastructure, including datacenter, HPC, cloud, serverless, and edge/IoT computing platforms
    Accelerators and heterogeneous computing
    Memory systems
    File and storage systems, I/O, and data management
    Operating systems and networks
    System software and middleware for parallel and distributed systems
    Programming languages and runtime systems
    Big data stacks and significant data ecosystems
    Parallel and distributed computing systems and software for AI
    Scientific applications, algorithms, and workflows
    Resource management and scheduling
    Performance modeling and benchmarking
    Fault tolerance, reliability, and availability
    Deployment topics, including operational guarantees, risk assessment, and management
    Energy efficiency and sustainability
    Software engineering for parallel and distributed systems
    Novel post-Moore computing technologies, including but not limited to neuromorphic, brain-inspired computing, and quantum computing

HPDC welcomes submissions that utilize Artificial Intelligence to enhance the topics of interest mentioned above or that employ parallel and distributed systems to improve AI workloads. However, we emphasize that an HPDC submission must clearly address and explain its connection to research in parallel and distributed computing.