Specific technologies on big data processing -Big data applications and corresponding features -Programming models and tools for big data applications -Parallel algorithms for big data processing -Analysis techniques and tools for big graph processing and data centers; -Systems and tools for big data processing -Micro-architecture, storage, and energy management for big data processing -Parallel architectures and systems Architectures for instruction-level, chip-level, thread-level and data parallelism -Special-purpose architectures and accelerators -Optimization on memory hierarchy -Network and interconnect architectures -Interconnect architectures for multicore -Parallel I/O and storage systems -Power-efficient architectures -Architecture and compiler support for big data computing -Software bridging computing segments, from mobile systems to data centers -Embedded computing systems -Parallel and distributed embedded and control systems Parallel software -Parallel programming languages, models and compilers -New parallel programming paradigms -Domain-specific languages for parallel systems -Multicore runtime systems -Operating systems and virtualization for multicore and clusters -Resource management for parallel systems -High availability, reliability and fault tolerance -Scalability issues in parallel software and systems -Performance modeling, analysis and tuning tools -Programming environments and tools -Parallel embedded software Parallel algorithms and applications -Massively parallel applications -Fault-tolerance of algorithms -Optimizations of communication and synchronization protocols -Network algorithms, Scheduling and load balancing -Scientific applications -Applications using multicore and/or GPUs Distributed and cloud computing -Reliability, availability and security in distributed and cloud systems -Distributed and cloud storage systems -Distributed and cloud infrastructure technologies -Distributed caching, and query processing -Workload characterization of cloud systems -Managing, debugging, and diagnosing of cloud systems -Peer-to-peer computing -Grid computing -Pervasive and mobile computing architectures -Security in networks and distributed systems