Paper submission due: September 25, 2022
Author notification: October 25, 2022
Camera Ready due: November 10, 2022
Registration due: November 10, 2022
Scope and Topics
The IEEE ISPA (20th 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 IEEE ISPA follows the tradition of previous successful IEEE ISPA
conferences in the years from 2003 to 2021 in Asia, Europe, Australia
and North America. It will feature sessions of regular presentations,
workshops, tutorials and keynote speeches. IEEE ISPA is sponsored by the
IEEE Technical Committee on Scalable Computing (TCSC) and the IEEE
Computer Society. IEEE ISPA 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
(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
(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
(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
Submission Guidelines
Submissions must include an abstract, keywords, the e-mail address of
the corresponding author and should not exceed 8 pages for main
conference, including tables and figures in IEEE CS format. The template
files for LATEX or WORD can be downloaded here:
https://www.ieee.org/conferences/publishing/templates.html. All paper
submissions must represent original and unpublished work. Each
submission will be peer reviewed by at least three program committee
members. Submission of a paper should be regarded as an undertaking
that, should the paper be accepted, at least one of the authors will
register for the conference and present the work. Submit your paper(s)
in PDF file at the submission site:
http://www.swinflow.org/confs/2022/ispa/submission.htm.
Publications
Accepted and presented papers will be included into the symposium
proceedings. Distinguished papers presented at the conference, after
further revision, will be published in special issues of selected journals.
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Prof. Massimo Cafaro, Ph.D.
Associate Professor of Parallel Algorithms and Data Mining & Machine
Learning
Head of HPC Lab https://hpc-lab.unisalento.it
Director of Master in Applied Data Science
Department of Engineering for Innovation
University of Salento, Lecce, Italy
Via per Monteroni
73100 Lecce, Italy
Voice/Fax +39 0832 297371
Web https://www.massimocafaro.it
Web https://www.unisalento.it/people/massimo.cafaro
E-mail massimo.cafaro@unisalento.it
E-mail cafaro@ieee.org
E-mail cafaro@acm.org
INGV
National Institute of Geophysics and Volcanology
Via di Vigna Murata 605
Roma
CMCC Foundation
Euro-Mediterranean Center on Climate Change
Via Augusto Imperatore, 16 - 73100 Lecce
massimo.cafaro@cmcc.it
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