<pre>Following the successful PAAP′08 in Hefei, PAAP′09 in Nanning, PAAP′10 in Dalian, and PAAP′11 in Tianjin, PAAP′12 in Taipei, PAAP′14 in Beijing, the Seventh International Symposium on Parallel Architectures, Algorithms and Programming (PAAP 2015) will take place in Nanjing, China during Dec. 12–14, 2015. PAAP 2015 will provide a forum for scientists and engineers in academia and industry to present their research results and development activities in all aspects of parallel architectures, algorithms and programming techniques. We are inviting new and unpublished papers on, but not limited to, the following topics: –Architectures Multi/many–core architectures Interconnection networks ClusterArchitecture Network–on–chip architectures Survivable and safety–critical systems Reconfigurable architectures Self–healing, self–protecting network systems CUDA and its architecture –Parallel Programming 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 CUDA and GPU parallel programming –Wireless Sensor Network and IoT Ubiquitous computing systems Sensor, wireless and RFID systems Sensor node design Sensor Operating System Architecture of Sensor Network Data processing and Querying Architecture of IoT (Internet of Things) Data index and Related linker in IoTRFID location –Algorithms Combinatorial and graph algorithms Numeric algorithms Task mapping and job scheduling Parallel/distributed databases and knowledge discovery High–performance scientific computing Secure distributed computing Resource allocation and management Power–aware Computing Network routing and traffic control –High Performance Systems 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 –Cloud Computing and Big Data: Cloud Computing Architecture Cloud Security Cloud Storage Virtualization and Monitor in Cloud 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 Big data query<br></pre>
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PAAP
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Nanjing
Country
China
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