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FAILURE-SENSITIVE ANALYSIS OF PARALLEL ALGORITHMS WITH CONTROLLED MEMORY ACCESS CONCURRENCY

机译:具有内存访问控制的并行算法的故障敏感性分析

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The abstract problem of using P failure-prone processors to cooperatively update all locations of an N-element shared array is called Write-All. Solutions to Write-All can be used iteratively to construct efficient simulations of PRAM algorithms on failure-prone prams. Such use of Write-All in simulations is abstracted in terms of the iterative Write-All problem. The efficiency of the algorithmic solutions for Write-All and iterative Write-All is measured in terms of work complexity where all processing steps taken by the processors are counted. This paper considers determinitic solutions for the Write-All and iterative Write-All problems in the fail-stop synchronous CRCW PRAM model where memory access concurrency needs to be controlled. A deterministic algorithm of Kanellakis, Michailidis, and Shvartsman [16] efficiently solves the Write-All problem in this model, while controlling read and write memory access concurrency. However it was not shown how the number of processor failures f affects the work efficiency of the algorithm. The results herein give a new analysis of the algorithm [16] that obtain failure-sensitive work bounds, while retaining the known memory access concurrency bounds. Specifically, the new result expresses the work bound as a function of N, P and f. Another contribution in this paper is the new failure-sensitive analysis for iterative Write-All with controlled memory access concurrency. This result yields tighter bounds on work (vs. [16]) for simulations of PRAM algorithms on fail-stop PRAMS.
机译:使用P个易于发生故障的处理器来协作更新N个元素共享阵列的所有位置的抽象问题称为全部写入。 Write-All的解决方案可以迭代地用于在容易发生故障的婴儿车上构造PRAM算法的高效仿真。仿真中对Write-All的这种使用是根据迭代Write-All问题抽象的。 “全部写入”和“迭代全部写入”算法解决方案的效率是根据工作复杂性来衡量的,其中计算了处理器采取的所有处理步骤。本文考虑了故障停止同步CRCW PRAM模型中需要控制内存访问并发的全写和迭代全写问题的确定性解决方案。 Kanellakis,Michailidis和Shvartsman [16]的确定性算法有效地解决了该模型中的Write-All问题,同时控制了读写内存访问并发。然而,未示出处理器故障的数量f如何影响算法的工作效率。本文的结果给出了对算法[16]的新分析,该算法获得了故障敏感的工作范围,同时保留了已知的内存访问并发范围。具体而言,新结果将功绑定表示为N,P和f的函数。本文的另一项贡献是针对具有受控内存访问并发性的迭代Write-All进行了新的故障敏感分析。此结果为故障停止PRAMS上的PRAM算法仿真提供了更紧密的工作界限(第[16]节)。

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