HitGraph: High-throughput Graph Processing Framework on FPGA

2019 ◽  
Vol 30 (10) ◽  
pp. 2249-2264 ◽  
Author(s):  
Shijie Zhou ◽  
Rajgopal Kannan ◽  
Viktor K. Prasanna ◽  
Guna Seetharaman ◽  
Qing Wu
Keyword(s):  
High Throughput ◽  
Graph Processing ◽  
Processing Framework

VGL: a high-performance graph processing framework for the NEC SX-Aurora TSUBASA vector architecture

2021 ◽  
Author(s):  
Ilya V. Afanasyev ◽  
Vladimir V. Voevodin ◽  
Kazuhiko Komatsu ◽  
Hiroaki Kobayashi
Keyword(s):  
High Performance ◽  
Graph Processing ◽  
Processing Framework

scholarly journals BLADYG: A Graph Processing Framework for Large Dynamic Graphs

2017 ◽  
Vol 9 ◽  
pp. 9-17 ◽  
Author(s):  
Sabeur Aridhi ◽  
Alberto Montresor ◽  
Yannis Velegrakis
Keyword(s):  
Graph Processing ◽  
Dynamic Graphs ◽  
Processing Framework

Taking the Pulse of Financial Activities with Online Graph Processing

2021 ◽  
Vol 55 (1) ◽  
pp. 84-87
Author(s):  
Xiaowei Zhu ◽  
Zhisong Fu ◽  
Zhenxuan Pan ◽  
Jin Jiang ◽  
Chuntao Hong ◽  
...  
Keyword(s):  
Big Data ◽  
High Throughput ◽  
Low Latency ◽  
Graph Processing ◽  
Future Directions ◽  
User Behaviors ◽  
Data Volume

Graph processing has been widely adopted in various financial scenarios at Ant Group to detect malicious and prohibited user behaviors. The low latency requirement under big data volume and high throughput raises rigorous challenges for efficient online graph processing. This paper gives a brief introduction of our encountered issues, the current solutions, and some future directions we are exploring.

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