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research on the design, programming and run-time management of parallel and distributed computer systems. The modeling, analysis and optimization of the extra-functional aspects of these systems, such as
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state-of-the-art implementations of these new techniques (e.g., by leveraging data-parallel functional array programming techniques); applying them to solve real-world problems (e.g., gradient estimation
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state-of-the-art implementations of these new techniques (e.g., by leveraging data-parallel functional array programming techniques); applying them to solve real-world problems (e.g., gradient estimation
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state-of-the-art implementations of these new techniques (e.g., by leveraging data-parallel functional array programming techniques); applying them to solve real-world problems (e.g., gradient estimation
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state-of-the-art implementations of these new techniques (e.g., by leveraging data-parallel functional array programming techniques); applying them to solve real-world problems (e.g., gradient estimation