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The effect of communication on the performance of allocation request shape changes in 2D mesh-connected multicomputers

机译:通信对2D网格连接的多计算机中分配请求形状更改性能的影响

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Contiguous allocation in multicomputers is useful for security and accounting reasons. In mesh-connected systems, each job is allocated an exclusive submesh of processors, and the allocated submesh has the same shape and size as that requested by the job. Because of this size and shape constraint, contiguous allocation typically suffers from high processor fragmentation. Processor fragmentation can be reduced by considering contiguous allocation to all possible request shapes, while maintaining contiguity. However, request shape modification can influence communication overhead. In this paper, we study the effect of request shape modification on communication overhead and performance in 2D mesh-connected multicomputers, where several common communication patterns are simulated in detail. The simulation results based on both synthetic and real workload models show that permitting all request shape changes can improve system performance substantially. For example, it improves the performance of first-fit allocation by up to about 60% in terms of average job turnaround time.
机译:出于安全性和计费方面的考虑,在多计算机中进行连续分配非常有用。在网格连接的系统中,为每个作业分配了处理器的专用子网格,并且所分配的子网格具有与作业所请求的形状和大小相同的形状和大小。由于这种大小和形状限制,连续分配通常会遭受处理器高度碎片化的困扰。通过考虑对所有可能的请求形状的连续分配,同时保持连续性,可以减少处理器碎片。但是,请求形状修改会影响通信开销。在本文中,我们研究了请求形状修改对2D网格连接的多计算机中通信开销和性能的影响,其中详细模拟了几种常见的通信模式。基于综合和实际工作负载模型的仿真结果表明,允许所有请求形状更改都可以大大改善系统性能。例如,就平均工作周转时间而言,它可以将“第一人称”分配的性能提高约60%。

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