GPU-oriented fine grit parallel application mapping method
An application mapping, fine-grained technology, applied in the direction of concurrent instruction execution, machine execution device, general-purpose stored program computer, etc., can solve problems such as inability to fully utilize application features, low efficiency of heterogeneous systems, etc., and achieve simple and efficient task division. Avoid the effects of unclear task division and small parallel granularity
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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 the 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...
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