The Causal Order is Strict

Jeremiah James, S. Mukhopadhyay
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Abstract

The causal order is central to many algorithms in both the message-passing and shared memory models. In the message-passing model, the causal order is clearly a strict, or irreflexive partial, order. However, some shared memory models are defined without reference to time. In those models, the causal order can fail to be a strict order. Existing works have either declared that all non-strict orders are not causal, or assumed that the causal order is strict without proof. We prove that, under a small number of reasonable assumptions about systems, the causal order is strict. In particular, we assume neither a global time model nor that processes issue a single shared memory operation at a time.
因果顺序是严格的
在消息传递和共享内存模型中,因果顺序是许多算法的核心。在消息传递模型中,因果顺序显然是严格的或非自反的部分顺序。然而,一些共享内存模型的定义没有参考时间。在这些模型中,因果顺序可能不是严格的顺序。现有的著作要么宣称所有非严格的顺序都不是因果的,要么在没有证据的情况下假设因果顺序是严格的。我们证明,在关于系统的少数合理假设下,因果顺序是严格的。特别是,我们既没有假设全局时间模型,也没有假设进程一次只发出一个共享内存操作。
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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