A framework to transform in-core GPU algorithms to out-of-core algorithms
Takahiro Harada
Proceedings of the 20th ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games, 2016, pp. 179--180.
Abstract: Porting an existing application to the GPU requires a lot of engineering effort. However, as the GPU memory of today is smaller compared to the host memory, some application which requires to access to a large data set needs to implement an out-of-core logic on top of the GPU implementation which is additional engineering work [Garanzha et al. 2011]. We present a framework to make it easy to transform an in-core GPU implementation to an out-of-core GPU implementation. In this work, we assume that the out-of-core memory access is read only. The proposed method is implemented using OpenCL thus we use the terminology of OpenCL in this document.
Article URL: http://doi.acm.org/10.1145/2856400.2876011
BibTeX format:
@inproceedings{10.1145-2856400.2876011,
  author = {Takahiro Harada},
  title = {A framework to transform in-core GPU algorithms to out-of-core algorithms},
  booktitle = {Proceedings of the 20th ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games},
  pages = {179--180},
  year = {2016},
}
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