The Optimization of Industrial Budget Based on Heterogeneous Multicore Processing Method

The goal is to explore the application of heterogeneous multi core processors in asset budget optimization. In this paper, a task scheduling strategy based on heterogeneous multi-core processors is designed, and tasks are dynamically allocated to different processor cores through reasonable task allocation and scheduling strategies to improve the overall computing performance. The effectiveness and improvement potential of the proposed strategy were evaluated through experiments and data analysis. Experimental results show that heterogeneous multi-core processors have great potential in asset budget optimization, which can reduce energy consumption costs under the premise of meeting computing requirements. By optimizing resource allocation and task scheduling, higher computing performance can be obtained and more efficient resource utilization can be achieved. In summary, the application of heterogeneous multi core processors in asset budget optimization is studied. By proposing an asset budget optimization strategy based on heterogeneous multi-core processors, a new idea and method is provided to achieve high-performance computing and low energy cost.