High-Performance with an In-GPU Graph Database Cache

Shin Morishima, Hiroki Matsutani

研究成果: Article

1 引用 (Scopus)

抜粋

Although graph databases have great potential to directly represent huge and complex network structures, such as social and logistics networks, they currently do not perform well enough. To achieve a two-orders-of-magnitude performance improvement on graph database queries, the authors propose caching the graph database in distributed GPUs connected with a 10-Gbit Ethernet (10GbE) network. Property read, traverse, and graph search queries are accelerated by 25.9, 252.4, and 383.2 times, respectively, compared to those using Neo4j for a huge graph consisting of 3.2 million nodes whose degree is 100.

元の言語English
記事番号8123479
ページ(範囲)58-64
ページ数7
ジャーナルIT Professional
19
発行部数6
DOI
出版物ステータスPublished - 2017 11 1

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Science Applications

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