12967

Monitoring Large-scale Microblog on GPUs

Yunpeng Cao
College of Information, Linyi University, Linyi 276005, China
Journal of Computational Information Systems 10: 15, 6493-6500, 2014

@article{yunpeng2014monitoring,

   title={Monitoring Large-scale Microblog on GPUs},

   author={Yunpeng, CAO},

   journal={Journal of Computational Information Systems},

   volume={10},

   number={15},

   pages={6493–6500},

   year={2014}

}

Download Download (PDF)   View View   Source Source   

709

views

To monitor bad information spreading in microblog system, large-scale data from microblog must be processed in real time. This needs high cost-effective parallel schemes. A parallel processing method on GPUs was put forward to monitor massive microblog. The proposed scheme can fully exploit the GPU feature to schedule massive threads for data-intensive tasks. The detailed parallel algorithms were provided. The key technologies including memory optimization and dynamic thread configuration were solved. The experiment results show that this parallel scheme can obtain the average speed-up ratio of about 16 and can process more than 500MB online data of microblog per second in real time.
No votes yet.
Please wait...

Recent source codes

* * *

* * *

HGPU group © 2010-2018 hgpu.org

All rights belong to the respective authors

Contact us: