Self-Tuned Congestion Control for Multiprocessor Networks

Network performance in tightly-coupled multiprocessors typically degrades rapidly beyond network saturation. Consequently, designers must keep a network below its saturation point by reducing the load on the network. Congestion control via source throttling--a common technique to reduce the network load--prevents new packets from entering the network in the presence of congestion. Unfortunately, prior schemes to implement source throttling either lack vital global information about the network to make the correct decision (whether to throttle or not) or depend on specific network parameters, network topology, or communication patterns. This paper presents a global-knowledge-based, selftuned, congestion control technique that prevents saturation at high loads across different network configurations and communication patterns. Our design is composed of two key components. First, we use global information about a network to obtain a timely estimate of network congestion. We compare this ...

• Type: Conference
• Year: 2001
• Where: HPCA
• Authors: Mithuna Thottethodi, Alvin R. Lebeck, Shubhendu S. Mukherjee
• Keywords: Computer Architecture, HPCA 2001, Network Congestion, Network Saturation, Specific Network Parameters