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This study takes advantage of the combination of heterogeneous platform control and computing power, and optimizes the parallelization of the popular collaborative filtering recommendation algorithm. Compared with the traditional algorithm, the speedup has a certain degree of improvement and power consumption has also declined as well. Keyowrds: heterogeneous computing platform, Recommendation System.

Design and Implementation of Hardware Accelerator for Recommendation System based on Heterogeneous Computing Platform