Presenter(s)
Hassan Ali Alsaad
Files
Download Project (783 KB)
Description
High-performance computing is one of the most demanding technologies in today's computational world with a variety of applications such as big data analysis, and solving complex computing algorithm. Engineers have invented multiple technologies such as CPUs, GPUs, GGPUS, FPGAs, clusters and distributed high-performance computational systems for high-performance computing. This research has focused on evaluating GPU and CPU two of the main technologies that could be used in high-performance computing. The researchers have developed a methodology to evaluate the performance of GPU and compare it with CPU under different test subjects. Finally, this research illustrated the power and weaknesses of GPU over the CPU under certain circumstances.
Publication Date
4-18-2018
Project Designation
Independent Research
Primary Advisor
Mohammadjafar Esmaeili
Primary Advisor's Department
Engineering Management Systems and Technology
Keywords
Stander Symposium project
Recommended Citation
"Performance Evolution of GPU versus CPU in Iterative algorithms" (2018). Stander Symposium Projects. 1229.
https://ecommons.udayton.edu/stander_posters/1229