Conference Information
ISPA 2019: International Symposium on Parallel and Distributed Processing with Applications
http://ispa2019.com/
Submission Date:
2019-09-23 Extended
Notification Date:
2019-10-22
Conference Date:
2019-12-16
Location:
Xiamen, China
Years:
17
CCF: c   CORE: b   QUALIS: b3   Viewed: 35476   Tracked: 139   Attend: 42

Conference Location
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Call For Papers
INTRODUCTION

The IEEE ISPA 2019(17th IEEE International Symposium on Parallel and Distributed Processing with Applications) 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, and large scale machines).

The 17th IEEE ISPA follows the tradition of previous successful IEEE ISPA conferences in the years from 2003 to 2018 in Asia, Europe, Australia and North America. It will feature sessions of regular presentations, workshops, tutorials and keynote speeches. IEEE ISPA 2019 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

Topics of interest include, but are not limited to:

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
    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 2019-09-01
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