Conference Information

HPDC 2026: International ACM Symposium on High-Performance Parallel and Distributed Computing

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Submission Date:
2026-01-29
Notification Date:
2026-03-31
Conference Date:
2026-07-13
Location:
Cleveland, Ohio, USA
Years:
35
CORE: A   QUALIS: A1   Viewed: 113501   Tracked: 175   Attend: 20

Call For Papers

HPDC 2026 (International ACM Symposium on High-Performance Parallel and Distributed Computing) is a CORE A / QUALIS A1 conference held in Cleveland, Ohio, USA on 2026-07-13. The paper submission deadline is 2026-01-29. Acceptance notifications are sent on 2026-03-31.

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.
Last updated by Dou Sun on

Acceptance Ratio

Average acceptance rate: 18.4% over 13 years (2003–2015).

YearSubmittedAcceptedAccepted(%)
20151161916.4%
20141302116.2%
20131312015.3%
20121412316.3%
20111702212.9%
2010912325.3%
2009682029.4%
20081031817.5%
20071002020%
20061572415.3%
20051332418%
20041492416.1%
20031252520%

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