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Distributed data-parallel execution engines for user-defined serial problems using branch-and-bound algorithm
Distributed data-parallel execution engines for user-defined serial problems using branch-and-bound algorithm
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机译：使用分支定界算法的分布式数据并行执行引擎，用于用户定义的串行问题
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摘要
A distributed data-parallel execution (DDPE) system splits a computational problem into a plurality of sub-problems using a branch-and-bound algorithm, designates a synchronous stop time for a “plurality of processors” (for example, a cluster) for each round of execution, processes the search tree by recursively using a branch-and-bound algorithm in multiple rounds (without inter-processor communications), determines if further processing is required based on the processing round state data, and terminates processing on the processors when processing is completed.
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