Upper and Lower Bounds for Deterministic Approximate Objects

Danny Hendler, A. Khattabi, A. Milani, Corentin Travers
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Abstract

Relaxing the sequential specification of shared objects has been proposed as a promising approach to obtain implementations with better complexity. In this paper, we study the step complexity of relaxed variants of two common shared objects: max registers and counters. In particular, we consider the $k$-multiplicative-accurate max register and the k-multiplicative-accurate counter, where read operations are allowed to err by a multiplicative factor of $k$ (for some $k\in \mathbb{N}$). More accurately, reads are allowed to return an approximate value $x$ of the maximum value $v$ previously written to the max register, or of the number $v$ of increments previously applied to the counter, respectively, such that $v/k\leq x\leq v. k$. We provide upper and lower bounds on the complexity of implementing these objects in a wait-free manner in the shared memory model.
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确定性近似对象的上下界
放宽共享对象的顺序规范被认为是获得更好的复杂性实现的一种有前途的方法。本文研究了两种常见共享对象:最大寄存器和计数器的松弛变量的步长复杂度。特别地,我们考虑$k$ -乘法精度最大寄存器和k-乘法精度计数器,其中允许读取操作出错的乘法因子为$k$(对于某些$k\in \mathbb{N}$)。更准确地说,允许读取返回先前写入max寄存器的最大值$v$的近似值$x$,或者先前分别应用于计数器的增量数$v$的近似值,例如$v/k\leq x\leq v. k$。我们提供了在共享内存模型中以无等待方式实现这些对象的复杂度的上限和下限。
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