Interconnection Networks: An Engineering Approach
Interconnection Networks: An Engineering Approach
DRIL: Dynamically Reduced Message Injection Limitation Mechanism for Wormhole Networks
ICPP '98 Proceedings of the 1998 International Conference on Parallel Processing
Self-Tuned Congestion Control for Multiprocessor Networks
HPCA '01 Proceedings of the 7th International Symposium on High-Performance Computer Architecture
Virtual Control Channel and its Application to the Massively Parallel Computer RWC-1
HIPC '97 Proceedings of the Fourth International Conference on High-Performance Computing
Principles and Practices of Interconnection Networks
Principles and Practices of Interconnection Networks
A Family of Mechanisms for Congestion Control in Wormhole Networks
IEEE Transactions on Parallel and Distributed Systems
Cross-line: a globally adaptive control method of interconnection network
ISHPC'05/ALPS'06 Proceedings of the 6th international symposium on high-performance computing and 1st international conference on Advanced low power systems
A new injection limitation mechanism for wormhole networks
Computer Communications
Exploiting global knowledge to achieve self-tuned congestion control for k-ary n-cube networks
IEEE Transactions on Parallel and Distributed Systems
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A large-scale direct interconnection network usually consists of enormous number of simple routers. However, its behavior is sometimes very complicated. Such a complicated behavior prevents us from accurate understanding and efficient control of the network. Among serious problems in interconnection networks, congestion control is of extreme importance since network performance is drastically degraded by a congested situation. We focus our discussion on throttling, injection limitation in other words, as one of the most hopeful solutions to the congestion problem. Our approach is inspired from physics. We define entropy as a desirable metric for representing the network's congestion level. We also define packet mobility ratio as a proper approximation of entropy. Thus we reach a new throttling method called ‘Entropy Throttling' that is based on theoretical discussion on congestion. Evaluation results by our simulator reveal effectiveness of the proposed method.