Parallel Computing of Shared Memory Multiprocessors Based on JOMP
Authors
Hong Zhang, Xiaoming Wang, Jie Cao, Changsheng Zhu
Corresponding Author
Hong Zhang
Available Online April 2015.
- DOI
- 10.2991/meic-15.2015.346How to use a DOI?
- Keywords
- parallel computing; JOMP; compiler; speedup; efficiency;
- Abstract
Aiming at parallel computing of shared memory multiprocessors based on JOMP, this paper probes the writing, compiling and running of a *.jomp file in detail and describes a complete specification and process for parallel programming. It expounds the format of parallel directive sets, main runtime libraries and their functions, making a further illustration of variable attributes in parallel region. Taking an example of computing values of pi on a lenovo Intel(R) Core(TM) i3-2120, it obtained a 1.73 speedup factor and 86.5% efficiency, and proved the feasibility and effectiveness of this system.
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Hong Zhang AU - Xiaoming Wang AU - Jie Cao AU - Changsheng Zhu PY - 2015/04 DA - 2015/04 TI - Parallel Computing of Shared Memory Multiprocessors Based on JOMP BT - Proceedings of the 2015 International Conference on Mechatronics, Electronic, Industrial and Control Engineering PB - Atlantis Press SP - 1510 EP - 1514 SN - 2352-5401 UR - https://doi.org/10.2991/meic-15.2015.346 DO - 10.2991/meic-15.2015.346 ID - Zhang2015/04 ER -