9947

Parallel Graph Processing on Graphics Processors Made Easy

Jianlong Zhong, Bingsheng He
Nanyang Technological University
VLDB, 2013
@article{zhong2013parallel,

   title={Parallel Graph Processing on Graphics Processors Made Easy},

   author={Zhong, Jianlong and He, Bingsheng},

   journal={Proceedings of the VLDB Endowment},

   volume={6},

   number={12},

   year={2013}

}

This paper demonstrates Medusa, a programming framework for parallel graph processing on graphics processors (GPUs). Medusa enables developers to leverage the massive parallelism and other hardware features of GPUs by writing sequential C/C++ code for a small set of APIs. This simplifies the implementation of parallel graph processing on the GPU. The runtime system of Medusa automatically executes the user-defined APIs in parallel on the GPU, with a series of graph-centric optimizations based on the architecture features of GPUs. We will demonstrate the steps of developing GPU-based graph processing algorithms with Medusa, and the superior performance of Medusa with both real-world and synthetic datasets.
VN:F [1.9.22_1171]
Rating: 5.0/5 (1 vote cast)
Parallel Graph Processing on Graphics Processors Made Easy, 5.0 out of 5 based on 1 rating

* * *

* * *

Follow us on Twitter

HGPU group

1941 peoples are following HGPU @twitter

Like us on Facebook

HGPU group

441 people like HGPU on Facebook

HGPU group © 2010-2016 hgpu.org

All rights belong to the respective authors

Contact us: