Web Reference: arithmic round parallel algorithm that achieves a better approximation ratio than 3. Specifically, our algo + ε)-approximate solution and uses ̃O(m1.5) sequential algorithm and a poly-logarithmic rounds sublinear-memory MPC algorithm with ̃O(m1.5) total memory. Jul 13, 2023 · In this paper, we study parallel algorithms for the correlation clustering problem, where every pair of two different entities is labeled with similar or dissimilar. The goal is to partition the entities into clusters to minimize the number of disagreements with the labels. Breaking 3-Factor Approximation for Correlation Clustering in Polylogarithmic Rounds Simons Institute for the Theory of Computing 72.4K subscribers Subscribe
YouTube Excerpt: Nairen Cao (NYU) https://simons.berkeley.edu/talks/nairen-cao-nyu-2025-10-23 Managing Parallelism.
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