International Journal of Networking and Computing
Online ISSN : 2185-2847
Print ISSN : 2185-2839
ISSN-L : 2185-2839
Special Issue on Selected Papers from the First International Conference on Networking and Computing
A Uniform Platform to Support Multigenerational GPUs for High Performance Stream-based Computing
Pablo Lamilla ÁlvarezShinichi YamagiwaMasahiro AraiKoichi Wada
著者情報
キーワード: GPGPU, Stream computing, OpenGL, CUDA, OpenCL
ジャーナル フリー

2011 年 1 巻 2 号 p. 230-243

詳細
抄録

GPU-based computing has become one of the popular high performance computing fields. The field is called GPGPU. This paper is focused on design and implementation of a uniform GPGPU application that is optimized for both the legacy and the recent GPU architectures. As a typical example of such the GPGPU application, this paper will discuss the uniform implementation of the Caravela platform. Especially the flow-model execution mechanism will be considered referring the recent GPU architectures. To verify the design and the implementation on CUDA and OpenCL platform, this paper will evaluate the compatibility among the architectures, and also test measurements of performance.

著者関連情報
© 2011 International Journal of Networking and Computing
前の記事 次の記事
feedback
Top