2022 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing&Communications (GreenCom) and IEEE Cyber, Physical & Social Computing

活动简介

Advances in computers, information and networks is bringing a digital cyber world to our daily lives. Numerous digital things or cyber entities are generated and will reside in the cyber world. Meanwhile, countless real things in the conventional physical, social and mental worlds will possess cyber mappings or cyber components, to have a cyber existence in cyber world. Cyberization is an emerging trend forming the new cyber world and reforming conventional worlds towards cyber-enabled hyper worlds. Cybermatics is to build systematic knowledge about new phenomena, behaviors, properties and practices in the cyberspace, cyberization and cyber-enabled hyper worlds. Cybermatics is characterized by not only catching up with the human intelligence (e.g. intelligent sensing, making decision and control, etc), but also learn from the nature-inspired attributes (e.g., dynamics, self-adaptability, energy saving).

The IEEE Cybermatics Congress originated from the 2013 World Cybermatics Congress (Beijing, China). Cybermatics 2020 in Greece is the continuation after the success of Cybermatics 2019 in Atlanta, Cybermatics 2018in Halifax, Cybermatics 2017 in Exeter, Cybermatics 2016 in Chengdu, Cybermatics 2015 in Sydney, and Cybermatics 2014 in Taipei. IEEE Cybermatics 2020 aims to provide a high-profile platform for researchers and engineers to exchange and explore state-of-art innovations in cyber technology and their applications in physical, social and mental worlds.

组委会

Organizing Committee

Honorary Chair
Stephen S. Yau, Arizona State University, USA
General Chairs
Jamal Deen, McMaster University, Canada
Nicolas Tsapatsoulis, Cyprus University of Technology, Cyprus
Klimis Ntalianis, University of West Attica, Greece
Program Chairs
Witold Pedrycz, University of Alberta, Canada
Nikolaos Mastorakis, Hellenic Naval Academy, Greece
Qingchen Zhang, St. Francis Xavier University, Canada
Steering Chairs
Jianhua Ma, Hosei University, Japan
Laurence T. Yang, St. Francis Xavier University, Canada
Finance Chair
Xianjun Deng, St. Francis Xavier University, Canada/South China University, China
Web Chair
Zihao Jiang, St. Francis Xavier University, Canada

征稿信息

Scope and Interests

The technological trends in HPC system evolution indicates an increasing burden placed on application developers due to the management of the unprecedented complexity levels of hardware and its associated performance characteristics. Many existing scientific applications codes are unlikely to perform well on future systems without major modifications or even complete rewrites. In the future, it will be necessary to utilize, in concert, many characteristics such as multiple levels of parallelism, many lightweight cores, complex memory hierarchies, novel I/O technology, power capping, system-wide temporal/spatial performance heterogeneity and reliability concerns. The parallel and distributed computing (PDC) community has developed new programming models, algorithms, libraries and tools to meet these challenges in order to accommodate productive code development and effective system use. However, the scientific application community still needs to identify the benefit through practical evaluations.

征稿范围

The focus of this workshop is on methodologies and experiences used in scientific and engineering applications and algorithms to achieve sustainable code development for better productivity, application performance and reliability. In particular, we will focus on the following topics in parallel and distributed scientific and engineering applications, and not limited to:

Big scientific data
Performance modeling and simulation for the execution of scalable scientific applications on new heterogeneous architectures
Graph analytics with their (scientific) applications
Code modernization methodologies and experiences for adapting the changes in future computing systems
Languages for scientific computing on hybrid systems (e.g. Python, MPI+X where X is OpenMP, OpenCL, CUDA etc.)
Tools and techniques for improving the performance, reliability and resilience of scientific applications
Use cases of enterprise distributed computing technology (such as MapReduce, Data Analytics and Machine-learning tools) in scientific and engineering applications
Scalable parallel and distributed algorithms supporting science and engineering applications
Performance portability across heterogeneous architecture

作者指南

Publications

The conference proceedings will be published by IEEE Computer Society. Selected papers from the proceedings will be invited for publication in journal special issues.

Paper Submission Guidelines

All papers must be submitted electronically and in PDF format. The material presented should be original and not published or under submission elsewhere. Authors should submit either full papers of up to 10 pages, or short papers of up to 4 pages, following strictly the IEEE Computer Society Proceedings Manuscript style, using two-column, single-space format, with 10-point font size. Figures and references must be included in the page limit. Oversized papers will be automatically rejected by the PC chairs. At least one of the authors of each accepted paper must register early to attend the conference, in order for the paper to appear in the conference proceedings.