Increased power consumption of computer has become an important issue in computer systems. Especially in high performance computing, its huge consumption is a serious issue. In this paper, we analyze relationship between performance and power consumption on GPGPU computing, and present a method of improving power-consumption performance ratio. First, we introduce an approach to measuring power consumption of a GPU. Second, we explore performance and power consumption, and discuss a way to improve its performance without substantial power consumption increase. Our experimental results demonstrate that memory access coalescing, utilizing shared memory, and making use of a large quantity of threads improve power-consumption performance ratio.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.