Analyzing Data Intensive Networks on Chips

2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC)(2022)

引用 0|浏览6
暂无评分
摘要
A novel framework [2] [3] is proposed to find efficient data-intensive flow distributions on Networks on Chip (NoC). In [3], the authors discussed the virtual cut-through switching, and we extend the flow matrix and analysis in a new switching mechanism, a modified store-and-forward switching mechanism. We explore the various workload distribution applications compared to the previous data load evenly distribution scenario. The new algorithms lead to an efficient makespan and a significant saving in the number of cores used.
更多
查看译文
关键词
Divisible Load Theory,Voronoi Diagram,Multisource,Network on Chip (NOC),Mesh,Data Intensive Load,Load Injection
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要