Compute Language Interface: A Transparent Wrapper Library For Multi Cpu-Gpu
The Graphics Processing Unit (GPU) processing capability is getting more powerful than before. Compute intensive and data parallelism applications are proven to perform better on the GPU than on the Central Processing Unit (CPU). However, available General-Purpose Computing on Graphics Processing...
Saved in:
| 主要作者: | |
|---|---|
| 格式: | Thesis |
| 语言: | English |
| 出版: |
2013
|
| 主题: | |
| 在线阅读: | http://eprints.usm.my/60818/1/24%20Pages%20from%2000001780131.pdf |
| 标签: |
添加标签
没有标签, 成为第一个标记此记录!
|
| 总结: | The Graphics Processing Unit (GPU) processing capability is getting more
powerful than before. Compute intensive and data parallelism applications are
proven to perform better on the GPU than on the Central Processing Unit (CPU).
However, available General-Purpose Computing on Graphics Processing Unit
(GPGPU) programming frameworks which are available publicly are unable to reach
beyond the single computer limitation to utilize multiple CPUs and GPUs at different
computers in a distributed computing system easily. This study presents the Compute
Language Interface (CLI) which is a wrapper library that enables the existing
OpenCL applications access to all available CPUs and GPUs in a distributed
computing system through Message Passing Interface (MPI) transparently. It is
designed to improve the scalability of the OpenCL applications on a distributed
computing system while maintaining the same set of application programming
interface (API) in the original OpenCL library. The applications can access all
available CPUs and GPUs in different computers in a distributed computing system
as ifall the CPUs and GPUs are in the same computer. |
|---|