公开(公告)号：US11489788B2

公开(公告)日：2022-11-01

申请号：US17085454

申请日：2020-10-30

申请人： The George Washington University

发明人： Hao Zheng ,  Ke Wang ,  Ahmed Louri

IPC分类号： H04L49/15 ,  H04L41/0813 ,  H04L12/44 ,  H04L41/12 ,  H04L45/60

摘要： An interconnection network for a processing unit having an array of cores. The interconnection network includes routers and adaptable links that selectively connect routers in the interconnection network. For example, each router may be electrically connected to one or more of the adaptable links via one or more multiplexers and a link controller may control the multiplexers to selectively connect routers via the adaptable links. In another example, adaptable links may be formed as part of an interposer and the link controller selectively connect routers via the adaptable links in the interposer using interposer switches. The adaptable links enable the interconnection network to be dynamically partitioned. Each of those partitions may be dynamically reconfigured to form a topology.

公开(公告)号：US12040897B2

公开(公告)日：2024-07-16

申请号：US16547297

申请日：2019-08-21

申请人： The George Washington University

发明人： Ke Wang ,  Ahmed Louri

IPC分类号： H04L49/15 ,  G06F13/40 ,  H03M13/29 ,  H04L1/00 ,  H04L1/1867 ,  H04L45/02 ,  H04L47/125 ,  H04L49/55 ,  H04L49/90

CPC分类号： H04L1/0057 ,  G06F13/4027 ,  H03M13/2906 ,  H04L1/0044 ,  H04L1/1896 ,  H04L45/08 ,  H04L47/125 ,  H04L49/15 ,  H04L49/557 ,  H04L49/90

摘要： A proactive fault-tolerant scheme which improves performance and energy efficiency for NoCs. The fault-tolerant scheme allows routers to switch among several different fault-tolerant operations. Each operation mode has different trade-offs among fault-tolerant capability, retransmission traffic, latency, and energy efficiency. Another example provides a proactive, dynamic control policy to balance and optimize the dynamic interactions and trade-offs. The example control policy uses example machine learning algorithm called reinforcement learning (RL). The example RL-based controller independently observes a set of NoC system parameters at runtime, and over time they evolve optimal per-router control policies. By automatically and optimally switching among the four fault-tolerant modes, the trained control policy results in minimizing system level network latency and maximizing energy efficiency while detecting and correcting errors.