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Performance limits of divisible load processing in systems with limited communication buffers

机译:通信缓冲区有限的系统中可分割负载处理的性能限制

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In this work, we study influence of limited size of communication buffer on the efficiency of divisible loads processing. Divisible loads are computations which can be divided into parts of arbitrary sizes, and these parts can be processed in parallel. To finish processing in the shortest possible time an optimum distribution of the load must be calculated. The method of determining load distribution must take into account not only computing speed, but also interconnection system topology, communication medium speed and startup time. In this work, we include one more parameter: communication buffer size. We propose a general method of studying the influence of the communication buffer size on the interaction between the communication and computations. Three archetypal interconnection topologies are examined: stars, ordinary trees, and binomial trees. The results of modeling the performance of parallel systems show that the influence of communication buffer size is indirect and qualitative in nature. Buffer size affects the performance by causing message fragmentation, or changing load balance among the processors. We analyze performance of several communication algorithms and their interaction with the computations. The simulations show that these classic algorithms are limited. (C) 2004 Elsevier Inc. All rights reserved.
机译:在这项工作中,我们研究了通信缓冲区大小有限对可分负载处理效率的影响。可除载荷是可以分为任意大小的部分的计算,并且这些部分可以并行处理。为了在最短的时间内完成处理,必须计算出负载的最佳分布。确定负载分配的方法不仅必须考虑计算速度,还必须考虑互连系统拓扑,通信介质速度和启动时间。在这项工作中,我们包括了另一个参数:通信缓冲区大小。我们提出了一种研究通信缓冲区大小对通信与计算之间相互作用的影响的通用方法。研究了三种原型互连拓扑:星,普通树和二叉树。对并行系统性能进行建模的结果表明,通信缓冲区大小的影响本质上是间接的和定性的。缓冲区大小会导致消息碎片或更改处理器之间的负载平衡,从而影响性能。我们分析了几种通信算法的性能以及它们与计算的相互作用。仿真表明这些经典算法是有限的。 (C)2004 Elsevier Inc.保留所有权利。

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