Conference Information
HPDC 2023: International ACM Symposium on High-Performance Parallel and Distributed Computing
https://www.hpdc.org/2023/
Submission Date:
2023-01-27
Notification Date:
2023-03-29
Conference Date:
2023-06-16
Location:
Orlando, Florida, USA
Years:
32
CCF: b   CORE: a   QUALIS: a1   Viewed: 35300   Tracked: 155   Attend: 16

Call For Papers
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-performance computing.

The 32nd HPDC is part of the ACM Federated Computing Research Conference (FCRC) and will be held in Orlando, Florida, June 16-23, 2023.

Scope and Topics

Submissions are welcomed on high-performance parallel and distributed computing topics including but not limited to: clouds, clusters, grids, big data, massively multicore, and extreme-scale computing systems. Submissions presenting new open-source tools or data are encouraged. Experience reports of operational deployments that present 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
    Novel post-Moore computing technologies including neuromorphic, brain-inspired computing, and quantum computing.
Last updated by Dou Sun in 2022-11-19
Acceptance Ratio
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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