Task Distribution on a Butterfly Multiprocessor

I. Gottlieb, A. Herold
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Abstract

We consider the practical performance of dynamic task distribution on a multiprocessor, where overloaded processors dispense tasks to be performed on idle ones which are free to execute them. We propose a topology and an algorithm for routing packets in a network from an arbitrary subset of processors S to an arbitrary subset T, where the exact target node within T for a particular task is unimportant and therefore not specified. The method presented achieves work distribution in O(10* log N) time, where N is the nodes (processors) number. It operates on a Duplex Butterfly, and requires O(log N) size buffers. The solution is dynamic, taking into consideration real time availability of processors, and deterministic. The mechanism includes throttling of the task generation rate. “Software synchronization” in asynchronous mode ensures the insensitivity of the algorithm to hardware propagation delays of signals in large networks.
蝴蝶多处理器上的任务分配
我们考虑在多处理器上动态任务分配的实际性能,其中超载的处理器将任务分配到空闲的处理器上,空闲处理器可以自由地执行任务。我们提出了一种拓扑和算法,用于将网络中的数据包从处理器S的任意子集路由到任意子集T,其中T中特定任务的确切目标节点不重要,因此不指定。该方法在O(10* log N)时间内实现了工作分配,其中N为节点(处理器)数。它在双蝶式上运行,需要O(log N)大小的缓冲区。该解决方案是动态的,考虑了处理器的实时可用性和确定性。该机制包括任务生成速率的限制。异步模式下的“软件同步”保证了算法对大型网络中信号的硬件传播延迟不敏感。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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