<b>Keywords:</b> Parallel/Distributed applications: Numerical computations/methods, neural networks and fuzzy logic, medicine, remote sensing, GIS, computer vision, computer graphics and virtual reality, parallel/distributed databases, banking, financial markets, high–performance computational biology, ...<br>Parallel/Distributed architectures: Clusters and parallel systems of various topologies, supercomputers, shared memory, distributed memory, general– and special–purpose architectures, instructional level parallelism, ...<br>Building block processors: Applications of processors that can be used as basic building blocks for multicomputer systems.<br>Networks and Interconnection networks: Scalable networks, Reconfigurable networks, routing issues, general–purpose network performance for distributed applications, network protocols, ATM–based systems, internet technology, Optical interconnections and computing, ...<br>Reliability and fault–tolerance: Software and hardware fault–tolerance (system– and application–level), fault diagnosis, fault–tolerance measurement.<br>Performance analysis, evaluation, prediction, ...<br>Real–time and embedded systems: Small–scale parallel systems for high–performance control, data acquisition, and analysis; configuration, routing, scheduling, performance guarantees.<br>Parallel/Distributed algorithms: Algorithms exploiting clusters and general–purpose distributed and parallel systems, new vector/pipeline issues, shared memory, distributed memory, virtual memory, ...<br>Mobile computation and communication.<br>Object Oriented Technology and related issues.<br>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, ...<br>Software tools and environments for parallel and distributed platforms: Operating systems, compilers, languages, debuggers, monitoring tools, software engineering on parallel/distributed systems, ...<br>High–performance computing in Computational Science: Intra–disciplinary and multi–disciplinary research<br>Information and data fusion.<br>Petri Nets: theory, analysis, tools and applications<br>Web–based simulation and computing.<br>Education: parallel and distributed processing in computer science curriculum (both graduate and undergraduate levels.)<br>Recent history (last decade) of parallel/distributed processing and what to expect during the next decade if history repeats itself; New horizons.<br>Other aspects and applications relating to high–performance computations.
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PDPTA
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Las Vegas
Country
United States
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