An optimal design method for parallel computing is presented based on algorithm graph.

研究基于算法图的并行计算优化设计方法。

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Based on Spark distributed graph computing model, a large scale and complex network community parallel discovery algorithm DBCS is proposed.

基于Spark分布式图计算模型，提出大规模复杂网络社区并行发现算法DBCS。

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Experiments show that the new optimized partition algorithm can improve the parallel simulation performance compared with the ones partitioned by traditional graph partition algorithms.

实验表明，该优化划分方法相对于传统的图划分算法能够有效地提高模拟性能。

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