Upper and Lower Bounds for Deterministic Approximate Objects

04/20/2021
by   Danny Hendler, et al.
0

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 ∈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 ≤ x ≤ 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.

READ FULL TEXT

Please sign up or login with your details

Forgot password? Click here to reset
Success!
Error Icon An error occurred

Sign in with Google

×

Use your Google Account to sign in to DeepAI

×

Consider DeepAI Pro