PDCCS 2015 - 2015 INTERNATIONAL SYMPOSIUM ON PARALLEL AND DISTRIBUTED COMPUTING AND COMPUTATIONAL SCIENCE

Topics of interest include, but are not limited to the following
Big Data and High-Performance Computing:
Novel computational methodologies, HPC and scalable algorithms for enhancing data quality, models and frameworks for Big Data, graph algorithms, computational science, computational intelligence, Scalable systems and architectures for Big Data, ...
Parallel/Distributed Applications:
Numerical computations/methods, neural networks and fuzzy logic, medicine, remote sensing, computer vision, computer graphics and virtual reality, parallel/distributed databases, banking, financial markets, high-performance computational biology, ...
Parallel/Distributed Architectures:
Clusters and parallel systems of various topologies, supercomputers, shared memory, distributed memory, general- and special-purpose architectures, instructional level parallelism, ...
Networks and Interconnection Networks:
Scalable networks, reconfigurable networks, routing issues, general-purpose network performance for distributed applications, network protocols, internet technology, optical interconnections and computing, novel network topologies, ...
Energy/power-aware Computing:
Energy-aware resource management, green computing, energy efficiency planning, energy-aware technologies, low power virtualization and software techniques, low power logic/circuit/process technology design, methods and tools for forecasting, estimating, and validating power use, ...
Reliability and Fault-tolerance:
Software and hardware fault-tolerance (system- and application-level), fault diagnosis, fault-tolerance measurement.
Building Block Processors:
Applications of processors that can be used as basic building blocks for multicomputer systems.
Real-time and Embedded Systems:
Small-scale parallel systems for high-performance control, data acquisition, and analysis; configuration, routing, scheduling, performance guarantees, ...
Parallel/Distributed Algorithms:
Algorithms exploiting clusters and general-purpose distributed and parallel systems, new vector/pipeline issues, shared memory, distributed memory, virtual memory, ...
Multimedia Communications, Systems, and Applications:
High-speed networking, multimedia architectures and protocols, multimedia applications, quality of service support, operating system and networking support, internet tools and applications, audio/video delivery over the internet, ...
Software Tools and Environments for Parallel and Distributed Platforms:
Operating systems, compilers, languages, debuggers, monitoring tools, software engineering on parallel/distributed systems, ...
High-performance Computing in Computational Science:
Intra-disciplinary and multi-disciplinary research programs and applications, Performance Evaluation and Management, Distributed System, Mobile Computation and Communication, Scheduling and Resource Management, and Complex Systems.