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Title: | 基於中央處理器及圖形處理單元之協同運算 A Synergistic Framework base on Halide |
Authors: | Shao-Yun Kuang 鄺劭昀 |
Advisor: | 廖世偉 |
Keyword: | 協同運算,中央處理器,圖形處理器,異質計算, synergistic computing,CPU,GPU,Heterogeneous computing, |
Publication Year : | 2015 |
Degree: | 碩士 |
Abstract: | 在這篇論文裡,我們打造了一個協同運算的框架做為 Halide 的 附加元件,藉以利用 Halide 之優勢試圖去創造一個較好的異質計算 環境。在此框架中我們提供兩種的分配工作量方法,這兩種工作法 方可以提供不同程度的加速優化。我們會在這篇論文中測量兩種分 配方法提供的優化程度以及在不同輸入大小的優化程度。在實驗中 使用我們的框架搭配最佳化過的 Halide 的 CPU 及 GPU 程式可以得 到 1.21x,1.55x,1.16x 的加速在 Nexus 7,Intel CPU 搭載 ATI GPU 和 Intel CPU 搭載 Nvidia GPU. In this thesis,we create a synergistic framework as Halide extension to build a better heterogeneous computing environment with the advantage of Halide.Our framework support 2 methods - dynamic dispatch and static dis- patch to assign different workload to CPU and GPU with those dispatch method we will get different level speedup.And we will measure those dispatch meth- ods with different input sizes at mobile,ATI GPU and NVIDIA GPU.In our experiment, using our framework with optimized Halide CPU and GPU funci- ton can get 1.21x speedup at Nexus 7, 1.55x speedup at Inetel CPU with ATI GPU and 1.16x speedup at Intel CPU with Nvidia GPU. |
URI: | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/52955 |
Fulltext Rights: | 有償授權 |
Appears in Collections: | 資訊工程學系 |
Files in This Item:
File | Size | Format | |
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ntu-104-1.pdf Restricted Access | 758.35 kB | Adobe PDF |
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