Abstract

Since the country began to go global, the country's economy has developed rapidly, cultural exchanges between countries have become more and more frequent, and foreign cultures have begun to gradually spread to the country. At the same time, through the absorption of foreign community governance experience, domestic research on community governance has also begun to be put on the agenda. This paper aims to study the innovative exploration of urban community governance mechanisms through key high-performance computing algorithms. To this end, this paper proposes a combination of the Bayesian algorithm and distributed high-performance computing to analyze and explore the governance and management methods of the community through its efficient and stable computing power, and derive the most suitable community governance mechanism. An experiment was also set up for comparative analysis. The experimental results show that the community governance mechanism derived from the key distributed high-performance computing algorithm improves the community governance capability by 19.4%, effectively improving the community governance and management issues.

Highlights

  • In recent years, with the rapid development of Chinese politics, economy, and society, the process of urbanization has accelerated, and residential privatization has continued to advance

  • At the beginning of 2010, the outline of China’s national economic and social development’s 12-year plan proposed to fully implement the construction of urban communities, improve the new type of community management and service system, and build communities. It promotes the urbanization process of community construction, expands the management model, improves the service management system, accelerates the pace of marketization and modernization, and builds a harmonious socialist society

  • Urban community governance is an important foundation of urban governance in the new era, the basic work of modern city construction, and an important part of the reform of modern city management systems

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Summary

Introduction

With the rapid development of Chinese politics, economy, and society, the process of urbanization has accelerated, and residential privatization has continued to advance. Alawneh L believes that if you use trace analysis, you can more understand the interaction between the processes of the high-performance computing (HPC) system He proposed a novel tracking abstraction method designed to facilitate the analysis of large-scale execution tracking generated by HPC applications. Two key algorithms were selected for comparative analysis On this basis, some more mature urban community governance theories in foreign countries were used to construct a governance path, learn from its experience, select the essence, and remove the dross, which combines the governance methods of China’s socialist society to deduct the governance of urban communities, and with the support of high-performance computing capabilities, it deduces a governance method that is more suitable for most communities and improves the governance mechanism of the community

Blockchain Cloud Computing Method
SVM Algorithm Optimization for Distributed
Distributed
Graphical User Interface (GUI) Layer
Investigation and Experiment on the Status Quo of Urban Communities
Weak Community Social Organizations
Residents Lack Awareness of Active Participation
Relevant Situation of the Community Governance System
Findings
Distributed High-Performance Computing Capability

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