High performance computing for large graphs of internet applications using GPU

This article was published in the International Journal of Multimedia and Ubiquitous Engineering [© 2014 SERSC] and the definite version is available at :http://dx.doi.org/10.14257/ijmue.2014.9.3.25 The Journal's website is at:http://hgpu.org/?p=11807

Chi tiết về thư mục
Những tác giả chính: Uddin, Jia, Oyekanlu, Emmanuuel, Kim, Cheol-Hong, Kim, Jong-Myon
Tác giả khác: Department of Computer Science and Engineering, BRAC University
Định dạng: Bài viết
Ngôn ngữ:English
Được phát hành: © 2014 Science and Engineering Research Support Society 2016
Những chủ đề:
Truy cập trực tuyến:http://hdl.handle.net/10361/7014
http://dx.doi.org/10.14257/ijmue.2014.9.3.25
id 10361-7014
record_format dspace
spelling 10361-70142016-11-28T09:54:17Z High performance computing for large graphs of internet applications using GPU Uddin, Jia Oyekanlu, Emmanuuel Kim, Cheol-Hong Kim, Jong-Myon Department of Computer Science and Engineering, BRAC University Dijkstra's algorithm Energy consumption GPU IP routing Link state This article was published in the International Journal of Multimedia and Ubiquitous Engineering [© 2014 SERSC] and the definite version is available at :http://dx.doi.org/10.14257/ijmue.2014.9.3.25 The Journal's website is at:http://hgpu.org/?p=11807 The high speed CPU based routers currently in use could not handle the massive data required for real-time multimedia communication. Graphics processing units (GPUs) offer an appreciable alternative due to high computation power which results from their parallel execution units. This paper presents the implementation of the Dijkstra's link state IP routing algorithm using GPU. Experimental results show that the proposed GPU-based approach outperforms the same sequential CPU-based implementation in terms of execution time for the same dense graph. In addition, the proposed GPU-based approach reduces about 99% energy consumption over the CPU-based implementation. Published 2016-11-28T09:52:17Z 2016-11-28T09:52:17Z 2014 Article Uddin, J., Oyekanlu, E., Kim, C. -., & Kim, J. -. (2014). High performance computing for large graphs of internet applications using GPU. International Journal of Multimedia and Ubiquitous Engineering, 9(3), 269-280. doi:10.14257/ijmue.2014.9.3.25 19750080 http://hdl.handle.net/10361/7014 http://dx.doi.org/10.14257/ijmue.2014.9.3.25 en http://hgpu.org/?p=11807 © 2014 Science and Engineering Research Support Society
institution Brac University
collection Institutional Repository
language English
topic Dijkstra's algorithm
Energy consumption
GPU
IP routing
Link state
spellingShingle Dijkstra's algorithm
Energy consumption
GPU
IP routing
Link state
Uddin, Jia
Oyekanlu, Emmanuuel
Kim, Cheol-Hong
Kim, Jong-Myon
High performance computing for large graphs of internet applications using GPU
description This article was published in the International Journal of Multimedia and Ubiquitous Engineering [© 2014 SERSC] and the definite version is available at :http://dx.doi.org/10.14257/ijmue.2014.9.3.25 The Journal's website is at:http://hgpu.org/?p=11807
author2 Department of Computer Science and Engineering, BRAC University
author_facet Department of Computer Science and Engineering, BRAC University
Uddin, Jia
Oyekanlu, Emmanuuel
Kim, Cheol-Hong
Kim, Jong-Myon
format Article
author Uddin, Jia
Oyekanlu, Emmanuuel
Kim, Cheol-Hong
Kim, Jong-Myon
author_sort Uddin, Jia
title High performance computing for large graphs of internet applications using GPU
title_short High performance computing for large graphs of internet applications using GPU
title_full High performance computing for large graphs of internet applications using GPU
title_fullStr High performance computing for large graphs of internet applications using GPU
title_full_unstemmed High performance computing for large graphs of internet applications using GPU
title_sort high performance computing for large graphs of internet applications using gpu
publisher © 2014 Science and Engineering Research Support Society
publishDate 2016
url http://hdl.handle.net/10361/7014
http://dx.doi.org/10.14257/ijmue.2014.9.3.25
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