The IEEE ISPA 2017 (15th 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 15th IEEE ISPA follows the tradition of previous successful IEEE ISPA conferences in the years from 2003 to 2016 in Asia, Europe, Australia and North America. It will feature sessions of regular presentations, workshops, tutorials and keynote speeches. IEEE ISPA 2017 is sponsored by the IEEE Technical Committee on Scalable Computing (TCSC) and the IEEE Computer Society. IEEE ISPA 2017 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.
(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