Abstract
With the popularity of mobile device, people require more computing power to run emerging applications. However, the increase in power consumption is a major problem because power is quite limited in embedded systems. Our goal is to consider power consumption along with latency and throughput. We proposed a heuristic algorithm, called Parallel Pipeline Latency Optimization for high performance embedded systems (PaPiLO), based on clustering, replication and duplication, to minimize latency under power and throughput constraints. Experimental results show our method can get 15% latency reduction and 10% improvements for random task graphs and MPEG-2 decoder, respectively.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.