GPU-oriented fine grit parallel application mapping method
An application mapping and fine-grained technology, which is applied in the direction of concurrent instruction execution, machine execution device, general-purpose stored program computer, etc., can solve the problems of not being able to make full use of application program features and low performance of heterogeneous systems
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[0073] By adopting the method of the present invention, a fine-grained pixel-level parallel application mapping method for an n-dimensional data structure input set can be realized, and its flow is as follows figure 2 shown. Methods as below:
[0074] The first step is to build a heterogeneous system composed of GPU+CPU. The specific method is to select a GPU graphics card (such as NVidia’s graphics card) that supports CUDA architecture, and install it in the graphics card PCI-E slot on the computer motherboard. In this way, the construction of the heterogeneous system composed of GPU+CPU is completed. The microarchitecture of the successfully built GPU+CPU heterogeneous system is as follows: figure 1 shown. figure 1 The right half of the figure is a macroscopic schematic diagram of the CPU+GPU heterogeneous system; the left half is a schematic diagram of the internal microarchitecture of the GPU. The data interaction between the CPU and the GPU is completed through the PC...
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