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Efficient implementation of globally-aware network flow control

机译:高效实施全球知名的网络流量控制

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摘要

Network flow control mechanisms that are aware of global conditions potentially can achieve higher performance than flow control mechanisms that are only locally aware. Owing to high implementation overhead, globally-aware flow control mechanisms in their purest form are seldom adopted in practice, leading to less efficient simplified implementations. In this paper, we propose an efficient implementation of a globally-aware flow control mechanism, called Critical Bubble Scheme, for k-ary n-cube networks. This scheme achieves near-optimal performance with the same minimal buffer requirements of globally-aware flow control and can be further generalized to implement the general class of buffer occupancy-based network flow control. We prove deadlock freedom of the proposed scheme and exploit its use in handling protocol-induced deadlocks in on-chip environments. We evaluate the proposed scheme using both synthetic traffic and real application loads. Simulation results show that the proposed scheme can reduce the buffer access component of packet latency by as much as 62% over locally-aware flow control, and improve average packet latency by 18.8% and overall execution time by 7.2% in full system simulation.
机译:意识到全局条件的网络流控制机制可能比仅本地感知的流控制机制具有更高的性能。由于高昂的实现开销,实际上很少采用最纯形式的全局感知流控制机制,从而导致效率较低的简化实现。在本文中,我们为k元n立方网络提出了一种有效的全局感知流控制机制,称为临界气泡方案。该方案在全局感知流控制的相同最小缓冲区要求下实现了接近最佳的性能,并且可以进一步推广以实现基于缓冲区占用率的网络流控制的通用类别。我们证明了所提出方案的死锁自由度,并充分利用了其在片上环境中处理协议引发的死锁的用途。我们使用综合流量和实际应用程序负载来评估提出的方案。仿真结果表明,与完整的本地流控制相比,该方案可以将包延迟的缓冲区访问组件减少多达62%,在整个系统仿真中,平均包延迟可以提高18.8%,总执行时间可以提高7.2%。

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