{'fraction_non_alphanumeric': 0.013859275053304905, 'fraction_numerical': 0.0, 'mean_word_length': 5.804347826086956, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Design and Implementation of Neural Computing Platform Application System Based on Super Computing

In order to improve the efficiency of the application system of neural computing platform, and to overcome the limitations of traditional computers in the process of performing computing tasks, this paper proposes an application system of neural computing platform based on super computing. The application system combines three elements of grid computing, which are task management, task scheduling and resource management. Based on this, the operation process of the application system is mainly divided into two aspects, namely centralized scheduling of central servers, lightweight programs of super computing nodes. The research results show that the application system can improve the working efficiency of the application system of neural computing platform, and can process massive data information efficiently in multi-threading.