The IEEE ISPA 2021 (19th 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 19th IEEE ISPA follows the tradition of previous successful IEEE ISPA conferences in the years from 2003 to 2020 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.
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
