Implementation of CUDA and Hadoop based System for Intelligent Guiding Evaluation Algorithm based on Data Center Data Mining

Implementation of CUDA and Hadoop based system for intelligent guiding evaluation algorithm based on data center data mining is studied in the paper. Based on Jinling Institute of Science and Technology, this paper designs and implements a smart teaching evaluation system for emerging application-oriented undergraduate colleges that integrates relevant teaching and educational affairs data based on the data center and provides standard service interfaces through the center, so as to establish a scientific and fair teaching system. Evaluation index system, improve various drawbacks of the existing teaching evaluation mode, strengthen the analysis, diagnosis and feedback of teaching evaluation - continuous improvement function. For the CUDA and Hadoop, the process of histogram equalization algorithm based on CUDA architecture. The host first obtains the parameters of the input image and initializes the GPU device, including the selection and setting of the device. Then, the host applies for the information storage space required for image data, image equalization data, probability statistics of each gray level of the image and mapping of each gray level of the image, and copies the image data from the host side memory to the global memory of the device side. The system is then implemented with the data mining aspects. The simulation has proven the effectiveness.