All modern-day computers and smartphones come with multi-core CPUs. The multicore architecture is generally heterogeneous in nature to maximize computational throughput. These multicore systems exploit thread-level parallelism to deliver higher performance, but they are limited by the requirement of good scheduling algorithms that maximize CPU utility and minimize wasted and idle cycles. With the rise in streaming services and multimedia capabilities of smartphones, it is necessary to have efficient heterogeneous cores which are capable of performing multimedia processing at a fast pace. It is also needed that they utilize efficient scheduling algorithms to achieve this task. This paper compares some heterogeneous multi-core scheduling algorithms available and determines which is the most optimal scheduling algorithm given various codecs.
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.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.