Integrated Interconnections for ULSI Using Silicon Wafer Area Networks (SWANs)

使用硅晶圆区域网络 (SWAN) 的 ULSI 集成互连

• 批准号: 9120378
• 负责人: Stuart Tewksbury
• 金额: $ 14.89万
• 依托单位: West Virginia University Research Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1992
• 资助国家: 美国
• 起止时间: 1992-06-01 至 1995-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9120378&HistoricalAwards=false
• 关键词: Integrated; Interconnections; ULSI; Using; Silicon

This research investigates the functional behavior and VLSI realization of a novel, scalable and intelligent wafer-level communications network (the Silicon Wafer Area Network or SWAN) supporting fine grained communications with predictable network traversal times. The network's "intelligence" is chosen to adaptively and dynamically establish virtual interconnections with the functionality of direct point-to-point interconnections for passage of individual messages through the network. The network is assumed to be a wafer-level function, allowing highly parallel data links between switches by exploiting the high density of IC wiring. The network organization is similar to a systolic processing array, using nearest neighbor connections and pipelined data movement through the network to establish high data rates. The critical issue of load balancing is based on (1) achieving sufficiently high communications rate capabilities so that network links are sparsely used (i.e. a rate capability well in excess of the required data rates) and (2) a global routing and load balancing algorithm based on electrostatic and potential energies (i.e. a network "activity potential"). The distributed computations of the potential energies provides each local node with a slowly varying measure of link usage in regions away from that node. The specific research completes VLSI design and circuit simulations of the performance of the network nodes. In addition, the research develops a network simulator to investigate the steady state and transient behavior of the network with various routing and load balancing algorithms selected to achieve the maximum VLSI area/speed performance.

本研究探讨了功能行为和超大规模集成电路 实现一种新型的、可扩展的和智能的晶圆级 硅晶圆区域网络（Silicon Wafer Area Network，SWAN） 支持具有可预测网络的细粒度通信 穿越时间 网络的“智能”选择， 自适应和动态地建立虚拟互连， 直接点对点互连的功能， 通过网络传递单个消息。 网络 假设是晶圆级功能，允许高度并行 通过利用高密度的IC， 接线. 网络组织类似于心脏收缩压 处理阵列，使用最近邻连接和流水线 通过网络的数据移动以建立高数据速率。 负载平衡的关键问题是基于（1）实现 足够高的通信速率能力， 链路被稀疏地使用（即，速率能力远远超过 所需的数据速率）和（2）全局路由和负载 静电势能平衡算法 (i.e.网络“活动潜力”）。 分布式 势能的计算提供了每个局部节点 在远离的区域中链路使用的缓慢变化的测量 这个节点。 具体研究完成VLSI设计和电路 网络节点性能的仿真。 此外，本发明还提供了一种方法， 本研究开发了一个网络模拟器， 具有各种路由的网络的状态和瞬态行为 和负载均衡算法选择，以实现最大的VLSI 区域/速度性能。