Automatic Fusions of CUDA-GPU Kernels for Parallel Map
| Authors | |
|---|---|
| Year of publication | 2011 |
| Type | Article in Periodical |
| Magazine / Source | Computer architecture news |
| MU Faculty or unit | |
| Citation | |
| Field | Informatics |
| Keywords | GPU;CUDA;kernels fusion;map;mapped function |
| Description | When implementing a function mapping on the contemporary GPU, several contradictory performance factors affecting distribution of computation into GPU kernels have to be balanced. A decomposition-fusion scheme suggests to decompose the computational problem to be sol\-ved by several simple functions implemented as standalone kernels and to fuse some of these functions later into more complex kernels to improve memory locality. In this paper, a prototype of source-to-source compiler automating the fusion phase is presented and the impact of fusions generated by the compiler as well as compiler efficiency is experimentally evaluated. |
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