Performance Parameters and Running Speed of Computer System Based on Big Data
Lingling Qiang · 2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) · 2022
Speed is the most important parameter of computer performance, and all methods devoted to improving computer performance aim to speed up computation. The development of multi-core parallel programs has made the improvement of computer performance a research hotspot. In this context, this paper analyzes the selection of computer system performance parameters and the influence of multi-core architecture on system running speed, and tests serial and parallel Monte Carlo in big data environment. The CPU utilization under the algorithm and the crawling effect of single-thread and multi-thread crawler are tested, and it is found that multi-core parallelism can improve the performance and speed of the computer system. Therefore, the parallelism of the computer system is fully utilized to improve the computing performance.