Abstract
The peak performance of high-performance computers is affected by many factors in practical operation. Scientific programs in different application areas use different algorithms and have different requirements for HPC systems. For example, communication-intensive algorithms require higher network performance of the machine, and computation-intensive algorithms require higher processor performance. In the face of many HPC systems, how to evaluate and select the HPC system with high availability is a problem that must be solved. In this paper, we study how to construct a user-oriented usability metric model for high-performance computing systems, and the experimental results show that the proposed model can be good for the usability of high-performance computing systems and the performance indicators, and actual tests based on high-performance computing are the most authentic, reliable, authentic, and persuasive.
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