学生研究海报:用于大规模图形处理的可扩展通用系统

2016 International Conference on Parallel Architecture and Compilation Techniques (PACT) Pub Date : 2016-09-11 DOI:10.1145/2967938.2971465

Jiawen Sun

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引用次数: 2

摘要

图分析是数据分析中一个重要且计算要求很高的类别。在大规模图形分析中，平衡可扩展性、易用性和高性能是至关重要的。因此，有必要将并行性、数据分布和内存局部性的复杂性隐藏在抽象接口后面[2]。

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Student research poster: A scalable general purpose system for large-scale graph processing

Graph analytics is an important and computationally demanding class of data analytics. It is essential to balance scalability, ease-of-use and high performance in large scale graph analytics. As such, it is necessary to hide the complexity of parallelism, data distribution and memory locality behind an abstract interface [2].

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2016 International Conference on Parallel Architecture and Compilation Techniques (PACT)

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