Conference Information
HPDC 2019: International ACM Symposium on High-Performance Parallel and Distributed Computing
http://www.hpdc.org/2019/
Submission Date:
2019-01-16
Notification Date:
2019-03-25
Conference Date:
2019-06-22
Location:
Phoenix, Arizona, USA
Years:
28
CCF: b   CORE: a   QUALIS: a1   Viewed: 16427   Tracked: 100   Attend: 8

Conference Location
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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 the use of parallel and distributed systems for high-end computing. The 28th HPDC will take place in Phoenix, Arizona, United States on June 22-29, 2019

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. Submissions that focus on the operating systems, runtime environments, architectures, and networks of high end computing systems are particularly encouraged. Experience reports of operational deployments that provide significantly novel insights for future research on HPDC applications and systems will also receive special consideration. All papers will be evaluated for their originality, technical depth and correctness, potential impact, relevance to the conference, and quality of presentation. Research papers must clearly demonstrate research contributions and novelty, while experience reports must clearly describe lessons learned and demonstrate impact.

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

    Operating systems, networks, and architectures
    High performance runtime environments
    Massively multicore systems, including heterogeneous systems
    Datacenter technology, resource virtualization
    Programming languages, APIs, and system interoperation approaches
    File and storage systems, I/O, and data management
    Big data stacks and big data ecosystems
    Resource management and scheduling, including energy-aware techniques
    Performance modeling, analysis, and engineering
    Fault tolerance, reliability, and availability
    Operational guarantees, and risk assessment and management
    Emerging application areas that include cloud/edge computing and IoT
Last updated by Dou Sun in 2018-10-21
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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