Comparative analysis of desktop and laptop performance using fibonacci recursive algorithm with nanosecond time measurement
DOI:
https://doi.org/10.52465/josre.v4i2.9Keywords:
Fibonacci algorithm, Recursive algorithm, BenchmarkingAbstract
The purpose of this study was to determine the differences between computing devices, including standard laptops, gaming laptops, and high-performance desktops. We also compared the performance of these computing devices. This research is considered crucial for understanding the effectiveness of processors in executing the Fibonacci algorithm. In this study, we analyzed the performance of three different devices, each with two laptop processors: an Intel Core i5 14450 HX and an Intel Core i5 8350U, and an AMD Ryzen 9 7900X desktop processor, each with the same RAM capacity and operating system. In this study, we used a quantitative experimental method with a processor performance benchmarking approach using a recursive Fibonacci algorithm based on nanosecond precision measurements. The results of our study indicate that the performance of each laptop processor is not significantly different. Meanwhile, the desktop processor performed very well, with execution times twice as fast as the laptop processor. The similarity of operating systems and RAM capacity makes the main difference in performance determined by the processor and clock speed. Our conclusion from this study suggests that a simple recursive algorithm can be used as a benchmark to assess differences in device execution speed when handling workloads. Overall, this research can also be used as a bridge between understanding the theory of computer architecture and organization and its implementation in the real world.
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