6th International Symposium on Parallel Architectures, Algorithms and Programming, Beijing, China

Abbrevation

PAAP

Link

http://paap2014.org/call-for-papers.html

City

Beijing

Country

China

Deadline Paper

2014-03-15

Start Date

2014-07-11

End Date

2014-07-13

Abstract

<h3>Topics </h3> <h4>We are inviting new and unpublished papers on, but not limited to, the following topics:</h4> Track 1. Architectures <ul> – Multi/many–core architectures – Interconnection networks – Cluster, grid and cloud computing systems – Network–on–chip architectures – Survivable and safety–critical systems – Ubiquitous computing systems – Sensor, wireless and RFID systems – Reconfigurable architectures – Self–healing, self–protecting network systems </ul> <h4> Track 2. Algorithms </h4> <ul> – Combinatorial and graph algorithms – Numeric algorithms – Task mapping and job scheduling – Parallel/distributed databases and knowledge discovery – High–performance scientific computing – Resource allocation and management Power–aware Computing – Secure distributed computing Network routing and traffic control </ul> <h4> Track 3. Parallel Programming </h4> <ul> – Multi/many–core programming – Parallel programming theory and models – Formal methods and verification – Middleware for parallel systems – Parallel programming languages – Parallel compilers and runtime systems – Performance analysis, debugging and optimization – Parallel libraries and application frameworks </ul> <h4> Track 4. High Performance Systems </h4> <ul> – Operating systems for parallel/distributed systems – High–performance computer arithmetic – Memory hierarchy and caching – Performance tuning, optimization and profiling – Human–computer interaction in parallel/distributed systems – Photonic and quantum computing – Media computing in parallel/distributed systems – Software engineering for parallel/distributed systems </ul> <h4> Track 5. Privacy and Security </h4> <ul> – Cloud security – Data privacy protection – Cryptography – Intrusion detection – Copyright protection – Access control – Data provenance – Trusted computing </ul> <h4> Track 6. Big Data Processing </h4> – Mass data stream processing in clouds – Big data models and computation theory – Big data fusion – Dimension reduction for large data sets – Big data placement, scheduling and optimization Big data mining – Multi–source data processing and integration – Big data workflow processing