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智算中心算力调度算法的优化与通信技术整合

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伴着尖端智能技术和海量数据处理的快速发展,计算中心在IT领域的关键地位逐渐显现.为满足高端计算能力需求,智能计算资源必须融合前沿计算能力管理与协同工作技术,达成高效的资源分配最大化利用效率.融合众多高性能计算资源理论与实践相结合,利用改良信息素蚁群算法和智能优化方法,显著提高计算密集任务和数据密集任务执行效能.高效的资源配置方法可显著改善计算能力分布不均和资源使用效率不高的问题,利用动态调节处理和通讯能力,提升整体作业处理速度,调配工作负载,增强计算资源的使用效率.
Integration of Computing Power Scheduling Algorithm and Communication Technology in Intelligent Computing Center
With the rapid development of cutting-edge intelligent technology and massive data processing,the critical position of computing centers in the IT field is gradually emerging.To meet the demand for high-end computing power,intelligent computing resources must integrate cutting-edge computing power management and collaborative work technologies to achieve efficient resource allocation and maximize utilization efficiency.By integrating numerous high-performance computing resources theory and practice,utilizing improved pheromone ant colony algorithm and intelligent optimization methods,the execution efficiency of computationally intensive and data intensive tasks is significantly improved.Efficient resource allocation methods significantly improve the problem of uneven distribution of computing power and low resource utilization efficiency.By utilizing dynamic adjustment of processing and communication capabilities,the overall job processing speed is improved,workloads are allocated,and the efficiency of computing resource utilization is enhanced.

intelligent computing centercomputing power schedulingcommunications technologyload balancing

张泽勇

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广东南方通信建设有限公司,广东 广州 510630

智算中心 算力调度 通信技术 负载均衡

2024

今日自动化

今日自动化

ISSN:
年,卷(期):2024.(11)