Conference Information
ISPA 2023: International Symposium on Parallel and Distributed Processing with Applications
Submission Date:
2023-09-15 Extended
Notification Date:
Conference Date:
Wuhan, China
CCF: c   CORE: b   QUALIS: b3   Viewed: 87956   Tracked: 238   Attend: 82

Call For Papers
The 21th IEEE International Symposium on Parallel and Distributed Processing with Applications (IEEE ISPA 2023) is a forum for presenting leading work on parallel and distributed computing and networking, including architecture, compilers, runtime systems, applications, reliability, security, parallel programming models and much more. During the symposium, scientists and engineers in both academia and industry are invited to present their work on concurrent and parallel systems (multicore, multithreaded, heterogeneous, clustered systems, distributed systems, grids, clouds, edge, and large scale machines).

The 21th IEEE ISPA 2023 will be hosted in Wuhan, China. IEEE ISPA follows the tradition of previous successful IEEE ISPA conferences in the years from 2003 to 2022 in Asia, Europe, Australia and North America. It will feature sessions of regular presentations, workshops, tutorials and keynote speeches. IEEE ISPA 2023 is particularly interested in research addressing heterogeneous computing with the use of accelerators, mobile computing, approximate computing, tools and methodologies to improve the quality of parallel programming and applying generic computing approaches to networks, in particular Software Defined networking and its applications.

Scope and Topics

Track 1: Systems and Architectures Track

    Cloud computing and data center technology
    Migration of computations
    Multi-clouds environments, cloud federation, interoperability
    Energy management and Green Computing
    Wireless and mobile networks
    Internet-Of-Things (IoT)
    Social Networks, crowdsourcing, and P2P systems

Track 2: Technologies and Tools Track

    Building block processors: FPGA, multicore, GPU, NoC, SoC
    Parallel and distributed algorithms
    Tools/environments for parallel/distributed software development
    Novel parallel programming paradigms
    Programming models for cloud services and applications
    Code generation and optimization
    Compilers for parallel computers
    Middleware and tools
    Scheduling and resource management
    Performance simulations, measurement, and evaluations
    Reliability, fault tolerance, dependability, and security

Track 3: Applications Track

    High-performance scientific and engineering computing
    Grid and cluster computing
    Pervasive and ubiquitous computing
    Databases, data mining, and data management
    Big data and business analytics
    Scientific cloud systems and services
    Internet computing and web services
    Application scenarios of IoT and ubiquitous computing
    Experience with computational, workflow and data-intensive applications
    Software Defined Networks and its applications
Last updated by Dou Sun in 2023-09-14
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