NK-GPGPU A GPGPU model for nested kernels
Authors
QianLi Xing, Liang Hu, Xilong Che
Corresponding Author
QianLi Xing
Available Online March 2017.
- DOI
- 10.2991/amcce-17.2017.171How to use a DOI?
- Keywords
- GPGPU; Conceptual Model; Micro-architecture
- Abstract
More and more scientific problems are now using GPGPU to solve. However , the existing GPGPU did not give a good solution for the problems such as recursive calls and multiple calls problems. Our proposed NKGPGPU model is a descriptive model that solves the key issues of the NK-GPGPU, including hardware architecture, task organization, task execution, and task scheduling. We also prove the validity of our model by optimizing an existing GPGPU performance prediction model.
- Copyright
- © 2017, 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 - QianLi Xing AU - Liang Hu AU - Xilong Che PY - 2017/03 DA - 2017/03 TI - NK-GPGPU A GPGPU model for nested kernels BT - Proceedings of the 2017 2nd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2017) PB - Atlantis Press SP - 971 EP - 975 SN - 2352-5401 UR - https://doi.org/10.2991/amcce-17.2017.171 DO - 10.2991/amcce-17.2017.171 ID - Xing2017/03 ER -