Multiple kernels optimization in GPU
This project is developed in the NVIDIA CUDA C/C++ environment which is provided. All the equipment and software stacks are provided by Parallel and Distributed Computing Center. The objective of this project is to find a way to split the GPU kernel and perform GPU kernel scheduling based on the imp...
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Format: | Final Year Project (FYP) |
Language: | English |
Published: |
2012
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Online Access: | http://hdl.handle.net/10356/49158 |