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Simulation for bulk synchronous parallel superstep task assignment in desktop grids characterised by gaussian parameter distributions

机译:具有高斯参数分布特征的桌面网格批量同步并行超步任务分配的仿真。

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Abstract. Modern load distribution schemes for parallel task assignment often refer to parallel computers with shared memorynor dedicated clusters with local address spaces. For parallel computing performed on dedicated clusters, the communicationntopology between processors can be considered static. On dealing with the execution of parallel programs on desktop grids,nthe previous assumption will lead to inexact parameter determination for network cost due to the actual network topology beingndetermined not only by the hardware characteristics but also by the instantaneous bandwidth availability for the processes toncommunicate. The dynamic bandwidth depends not only on location, time and date, but also on the habits and behaviour ofnthe individual users of the computers that conform the grid environment and will lead to an inconstant network topology. Thisnpaper presents a novel simulator design which takes these factors into consideration for the BSP parallel computer model. Thensimulator is used as a performance evaluation tool for several case studies to point out variations in performance obtained fromndifferent task assignment strategies as the size of the desktop grid increases and the number of parallel threads changes
机译:抽象。用于并行任务分配的现代负载分配方案通常是指具有共享内存的并行计算机或具有本地地址空间的专用群集。对于在专用集群上执行的并行计算,可以将处理器之间的通信拓扑视为静态。在处理在桌面网格上并行程序的执行时,先前的假设将导致网络成本的参数确定不准确,这是因为实际的网络拓扑不仅由硬件特性决定,而且还由吨通信进程的瞬时带宽可用性决定。动态带宽不仅取决于位置,时间和日期,还取决于符合网格环境的计算机单个用户的习惯和行为,并会导致网络拓扑结构不稳定。本文介绍了一种新颖的模拟器设计,该设计将BSP并行计算机模型的这些因素考虑在内。然后将Simulator用作一些案例研究的性能评估工具,以指出随着桌面网格大小的增加和并行线程数的变化,从不同的任务分配策略获得的性能变化

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