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A scalable processing-in-memory accelerator for parallel graph processing

International Symposium on Computer Architecture, no. 3S (2016): 105-117

Cited by: 572|Views253
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Abstract

The explosion of digital data and the ever-growing need for fast data analysis have made in-memory big-data processing in computer systems increasingly important. In particular, large-scale graph processing is gaining attention due to its broad applicability from social science to machine learning. However, scalable hardware design that c...More

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