ISPA 2013 - The 11th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA-2013)

The 11th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA-13) follows the tradition of previous successful ISPA conferences, ISPA-03 (Aizu, Japan), ISPA-04 (Hong Kong), ISPA-05 (Nanjing, China), ISPA-06 (Sorrento, Italy), ISPA-07 (Niagara Falls, Canada) and ISPA-08 (Sydney, Australia), ISPA-09 (Chengdu, China), ISPA-10 (Taipei, Taiwan), ISPA-11 (Busan, Korea), ISPA-12 (Madrid, Spain).
The objective of ISPA-13 is to provide a forum for scientists and engineers in academia and industry to exchange and discuss their experiences, new ideas, research results, and applications about all aspects of parallel and distributed computing and networking. It will feature session presentations, workshops, tutorials and keynote speeches. ISPA-13 is sponsored by IEEE Technical Committee on Scalable Computing (TCSC) and IEEE Computer Society.
Topics of interest include, but are not limited to:
- Parallel and Distributed Algorithms, and Applications
- High-performance scientific and engineering computing
- Building block processors: FPGA, multicore, GPU, SoC
- Architectures and Virtualization
- Middleware and tools
- Network and pervasive computing
- Performance simulations, measurement, and evaluations
- Reliability, fault tolerance, and security
- Database, data mining, and data management
- Virtualization techniques, tools, and applications
- Parallel/distributed system architectures
- Tools/environments for parallel/distributed software development
- Novel parallel programming paradigms
- Code generation and optimization
- Compilers for parallel computers
- Distributed systems and applications
- Wireless networks, mobile, and pervasive computing
- Energy management and power optimization
- Green Computing and Energy-aware computing
- Grid and cluster computing
- Scientific cloud systems and services
- Programming models for cloud services and applications
- Internet computing and web services
- Data intensive applications and Internet-Of-Things
- IoT and Ubiquitous computing: application scenarios
- Data storage and big data
- Experience with computational applications, workflow applications, data-intensive applications
- Scheduling and resource management
- Multi-clouds environments, cloud federation, interoperability