activity
20152022
most citedC-SAW: A Framework for Graph Sampling and Random Walk on GPUs

51 citations · 190 across the 18 of their papers we have counts for

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Showing cs.DCShow all

7 papers · 1 filter

cs.DC2021★ 46 cited

TRUST: Triangle Counting Reloaded on GPUs

Santosh Pandey, Zhibin Wang, Sheng Zhong +8

Triangle counting is a building block for a wide range of graph applications. Traditional wisdom suggests that i) hashing is not suitable for triangle counting, ii) edge-centric tr…

cs.DC2020

Resiliency in Numerical Algorithm Design for Extreme Scale Simulations

Emmanuel Agullo, Mirco Altenbernd, Hartwig Anzt +33

This work is based on the seminar titled ``Resiliency in Numerical Algorithm Design for Extreme Scale Simulations'' held March 1-6, 2020 at Schloss Dagstuhl, that was attended by a…

cs.DC2020★ 51 cited

C-SAW: A Framework for Graph Sampling and Random Walk on GPUs

Santosh Pandey, Lingda Li, Adolfy Hoisie +2

Many applications require to learn, mine, analyze and visualize large-scale graphs. These graphs are often too large to be addressed efficiently using conventional graph processing…

cs.DC2020★ 1 cited

GSoFa: Scalable Sparse Symbolic LU Factorization on GPUs

Anil Gaihre, Xiaoye S. Li, Hang Liu

Decomposing matrix A into a lower matrix L and an upper matrix U, which is also known as LU decomposition, is an essential operation in numerical linear algebra. For a sparse matri…

cs.DC2020

Distributed macroscopic traffic simulation with Open Traffic Models

Gabriel Gomes, Juliette Ugirumurera, Xiaoye Li

This paper presents OTM-MPI, an extension of the Open Traffic Models platform (OTM) for running macroscopic traffic simulations in high-performance computing environments. Macrosco…

cs.DC2018★ 4 cited

A unified software framework for solving traffic assignment problems

Juliette Ugirumurera, Gabriel Gomes, Emily Porter +2

We describe a software framework for solving user equilibrium traffic assignment problems. The design is based on the formulation of the problem as a variational inequality. The so…

cs.DC2018★ 23 cited

A Distributed-Memory Algorithm for Computing a Heavy-Weight Perfect Matching on Bipartite Graphs

Ariful Azad, Aydın Buluc, Xiaoye S. Li +2

We design and implement an efficient parallel algorithm for finding a perfect matching in a weighted bipartite graph such that weights on the edges of the matching are large. This…