Performance Parameters and Running Speed of Computer System Based on Big Data

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.