...
首页> 外文期刊>Parallel and Distributed Systems, IEEE Transactions on >Markovian Models Based Stochastic Communication in Networks-in-Package
【24h】

Markovian Models Based Stochastic Communication in Networks-in-Package

机译:包内网络中基于马尔可夫模型的随机通信

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

Like networks-on-chip (NoC), a solution for inter intellectual properties (IPs) communication in system-on-chip (SoC), networks-in-package (NiP) is a solution for inter NoCs communication in system-in-package (SiP), where power dissipation, performance, and size of processing package are the major issues. NiP is a group of NoCs mounted on a single package. Developing a design methodology for local communication in NoC and global communication in NiP poses novel and exciting challenges to the electronic design and automation (EDA) community. This paper introduces a novel communication paradigm, which merges these two communications. Transfer of information in NoC and among NoCs can be represented using closed donor controlled based compartmental model, convertible into a stochastic model. This stochastic model is more realistic and enables to compute the transition probabilities for dynamic allocation of single buffer, energy saving from inactive routers, and expected delay in NoC and among NoCs. Moreover, at any particular instant of time (while the transition probability is maximum) we can track the packets among on chip routers or switching elements (SEs). These tracked packets are used in the real time applications such as robotics, real time data acquisitions, and control applications.
机译:像片上网络(NoC)一样,它是片上系统(SoC)中的智能财产(IP)通信的解决方案,而封装内网络(NiP)则是用于片上系统中NoC间通信的解决方案封装(SiP),其中功耗,性能和处理封装的尺寸是主要问题。 NiP是安装在单个封装上的一组NoC。为NoC中的本地通信和NiP中的全球通信开发一种设计方法论,给电子设计和自动化(EDA)社区提出了新颖而激动人心的挑战。本文介绍了一种新颖的传播范例,它将这两种传播融合在一起。可以使用封闭的,基于供体控制的,可转换为随机模型的隔间模型来表示NoC中和NoC之间的信息传输。这种随机模型更为实际,可以计算出动态概率分配单个缓冲区,从不活动的路由器中节省能量以及NoC和NoC之间的预期延迟。此外,在任何特定时刻(转换概率最大时),我们都可以在片上路由器或交换元件(SE)中跟踪数据包。这些跟踪的数据包用于实时应用程序,例如机器人技术,实时数据采集和控制应用程序。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号