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 34th HPDC will take place in Notre Dame, Indiana, United States, July 20-23, 2025.

Scope and Topics

Submissions are welcomed 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:

    Datacenter, HPC, cloud, serverless, and edge/IoT computing platforms
    Heterogeneous computing accelerators and non-volatile 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 big data ecosystems
    Scientific applications, algorithms, and workflows
    Resource management and scheduling
    Performance modeling, benchmarking, and engineering
    Fault tolerance, reliability, and availability
    Operational guarantees, risk assessment, and management
    Energy efficiency and sustainability
    AI topics, which must relate to parallel and distributed computing systems
    Novel post-Moore computing technologies including neuromorphic, brain-inspired computing, and quantum computing

HPDC welcomes submissions that utilize AI to enhance the above topics of interest or that utilize distributed systems to enhance AI frameworks, but we highlight that an HPDC submission must address and articulate its connection with parallel and distributed computing research.