.png){kind=icon}
返回
An Efficient Algorithm for Mapping Real Time Embedded Applications on NoC Architecture
.png){kind=icon}
OA
AI
DOI：10.1109/ACCESS.2018.2811716.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Network-on-chip (NoC) has appeared to be an impending substitute for the communication paradigm in modern very large scale integration embedded systems. Apart from many design challenges, application mapping on the NoC system is one of the most intractable and challenging optimization problems. In this paper, we propose a hybrid, branch & bound (BB)-based exact mapping (BEMAP) algorithm, for mapping real-time embedded applications on the NoC architecture. The BEMAP optimizes the latency and throughput of the NoC system and minimizes power consumption under the bandwidth constraint. This method utilizes the modular exact and systematic search optimization techniques to obtain a multi-objective optimized solution to the mapping problem of the NoC designs. The proposed algorithm exploits the state-of-the-art BB algorithm, in order to obtain optimized results against its competitors. Experimental results under the benchmarks of several real-time embedded applications show that the proposed algorithm achieves up to 19.93% savings in power consumption and 61.10% improvement in network latency for two dimension mesh and torus topologies.
Keyword:
Algorithm
branch & bound
mapping
network-on-chip
optimization
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.6
论文数:
9.8W
被引数:
29.4W
机构
引用论文
Fullerenol increases effectiveness of foliar iron fertilization in iron-deficient cucumber.png)
PLOS ONEOAAI
PLOS ONEIF0
OAAI分享收藏
查看更多内容