Optimization and scheduling of applications in a heterogeneous CPU-GPU environment
With the emergence of General Purpose computation on GPU (GPGPU) and corresponding programming frameworks (OpenCL, CUDA), more applications are being ported to use GPUs as a co-processor to achieve performance that could not be accomplished using just the traditional processors. However, programmin...
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| 格式: | Thesis |
| 語言: | English |
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2014
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| 在線閱讀: | https://hdl.handle.net/10356/61727 |