Join algorithms towards inmemory computing

ZHANG Lei; FANG Zhu-He; ZHOU Min-Qi; HUANG Lan

doi:10.3969/j.issn.1000-5641.2014.05.016

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Nov. 2014

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ZHANG Lei, FANG Zhu-He, ZHOU Min-Qi, HUANG Lan. Join algorithms towards inmemory computing[J]. Journal of East China Normal University (Natural Sciences), 2014, (5): 180-191. doi: 10.3969/j.issn.1000-5641.2014.05.016

Citation:

ZHANG Lei, FANG Zhu-He, ZHOU Min-Qi, HUANG Lan. Join algorithms towards inmemory computing[J]. Journal of East China Normal University (Natural Sciences), 2014, (5): 180-191. doi: 10.3969/j.issn.1000-5641.2014.05.016

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Join algorithms towards inmemory computing

doi: 10.3969/j.issn.1000-5641.2014.05.016

1.
Institute for Data Science and Engineering, Software Engineering Institute, East China Normal University, Shanghai 200062, China;
2.
No.32 Institute of China Electronics Technology Group Corporation, Shanghai 200233, China

Publish Date: 2014-09-25

Abstract

Abstract

The development of memory and CPU technology marks that mainmemory computing age is coming. This paper systematically reviewed memory computing based join algorithms and made detailed analysis on the advantages and disadvantages of existing join algorithms in two dimensions, prospecting for future research directions. Finally, some research work about mainmemory computing based join algorithms on our Claims prototype system was introduced.
- database,
- memory computing,
- join algorithms,
- hardware change