activity
20132024
most citedParallel Graph Decompositions Using Random Shifts

14 citations · 33 across the 6 of their papers we have counts for

collaborators

7 papers

math.GM2024

A Note on a Recent Attempt to Prove the Irrationality of

Keyu Chen, Wei He, Yixin He +7

Recently Shekhar Suman [arXiv: 2407.07121v6 [math.GM] 3 Aug 2024] made an attempt to prove the irrationality of . But unfortunately the proof is not correct. In this note, we…

cs.DS2018★ 12 cited

Graph Sketching Against Adaptive Adversaries Applied to the Minimum Degree Algorithm

Matthew Fahrbach, Gary L. Miller, Richard Peng +3

Motivated by the study of matrix elimination orderings in combinatorial scientific computing, we utilize graph sketching and local sampling to give a data structure that provides a…

cs.DS2017

On Computing Min-Degree Elimination Orderings

Matthew Fahrbach, Gary L. Miller, Richard Peng +3

We study faster algorithms for producing the minimum degree ordering used to speed up Gaussian elimination. This ordering is based on viewing the non-zero elements of a symmetric p…

cs.DS2016

An Empirical Study of Cycle Toggling Based Laplacian Solvers

Kevin Deweese, John R. Gilbert, Gary Miller +3

We study the performance of linear solvers for graph Laplacians based on the combinatorial cycle adjustment methodology proposed by [Kelner-Orecchia-Sidford-Zhu STOC-13]. The appro…

cs.DS2014

Stretching Stretch

Michael B. Cohen, Gary L. Miller, Jakub W. Pachocki +2

We give a generalized definition of stretch that simplifies the efficient construction of low-stretch embeddings suitable for graph algorithms. The generalization, based on discoun…

cs.DS2013★ 7 cited

Improved Parallel Algorithms for Spanners and Hopsets

Gary L. Miller, Richard Peng, Adrian Vladu +1

We use exponential start time clustering to design faster and more work-efficient parallel graph algorithms involving distances. Previous algorithms usually rely on graph decomposi…

cs.DS2013★ 14 cited

Parallel Graph Decompositions Using Random Shifts

Gary L. Miller, Richard Peng, Shen Chen Xu

We show an improved parallel algorithm for decomposing an undirected unweighted graph into small diameter pieces with a small fraction of the edges in between. These decompositions…