Parallel and distributed computing, metacomputing, grid, operating systems, environments and parallel programming languages for high-performance parallel and distributed computer  systems,  resource  management, load balancing, self-organizing algorithms, design and analysis  of  distributed  and  parallel  algorithms,  tools and  techniques for parallelizing scientific software,  scheduling  and mapping  of parallel programs into  parallel  computers,  parallel combinatorial  optimization  algorithms,  the  graph  and  network algorithms, genetic and evolutionary algorithms, genetic programming, metaheuristics, parallel architectures, interconnection networks, routing algorithms for parallel and distributed computer systems, visualization of algorithms and code generation based on multimedia specifications, discovery of scientific equations and algorithms, evolutionary synthesis of algorithms and inductive programming.

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