With the rapid growth in computing and communications technology, the past decade has witnessed a proliferation of powerful parallel and distributed systems and an ever increasing demand for practice of high performance computing and communications (HPCC). HPCC has moved into the mainstream of computing and has become a key technology in determining future research and development activities in many academic and industrial branches, especially when the solution of large and complex problems must cope with very tight timing schedules.
Among a series of highly successful International Conferences on High Performance Computing and Communications (HPCC), the HPCC-2022 conference is the 24th edition of a forum for engineers and scientists in academia, industry, and government to address the resulting profound challenges and to present and discuss their new ideas, research results, applications and experience on all aspects of high performance computing and communications. IEEE HPCC-2022 is sponsored by IEEE, IEEE Computer Society, and IEEE Technical Committee on Scalable Computing (TCSC).
The 2022 High Performance Computing and Communications (HPCC-2022) will provide a high-profile, leading-edge forum for researchers, engineers, and practitioners to present state-of-art advances and innovations in theoretical foundations, systems, infrastructure, tools, testbeds, and applications for the HPCC, as well as to identify emerging research topics and define the future.
Topics of interest include, but are not limited to:
Track 1: High Performance Computing and Applications
High Performance Computing Theory
High Performance Computing Architectures
System Software and Middleware
System Software Support for Scientific Workflows
Storage and I/O Systems
Resource Management
Instruction-Level and Thread-Level Parallelism
Performance Modeling and Evaluation
Massively Multicore Systems
Future Novel Computing Platforms
Database Applications and Data Mining
High Performance Computing for Bioinformatics
High Performance Computing for Big Data
High Performance Computing for AI
High Performance Computing for Block Chains
Green High Performance Computing
Track 2: Parallel and Distributed Computing and Systems
Parallel and Distributed System Architectures
Parallel and Distributed Algorithms
Data Center Architectures
Resource Virtualization
Web Services and Internet Computing
Cloud Computing
Grid and Cluster Computing
Federated Learning
Embedded Systems
Distributed Systems and Applications
Pervasive/Ubiquitous Computing & Intelligence
Distributed Graphics and VR/AR/MR Systems
Distributed AI and Soft/Natural Computing
Power-Efficient and Green Computing Systems
Parallel and Distributed Computing for Big Data
Parallel and Distributed Computing for AI
Track 3: Communications and Networking
Network and Interconnect Architectures
Computer Networks
Internet Architectures and Protocols
Telecommunications
Trust, Security, and Privacy
Energy-Aware Computing and Networking
5G Network
Software Defined Networking
Network Functions Virtualization
Machine Learning and Deep Learning
Social Networking and Computing
Performance Evaluation and Measurement
The materials presented in the papers should not be published or under submission elsewhere. Each paper is limited to 8 pages (or 10 pages with over length charge) including figures and references using IEEE Computer Society Proceedings Manuscripts style (two columns, single-spaced, 10 fonts). All papers need to be submitted electronically through the conference submission website with PDF format: https://edas.info/N29969
Accepted conference papers will be published by IEEE (IEEE-DL and El indexed). At least one author of each accepted paper is required to register and present their work at the conference; otherwise the paper will not be included in the proceedings. Selected papers, after further exte-nsions and revisions, will be recommended to special issues.