51 citations · 190 across the 18 of their papers we have counts for
6 papers · 1 filter
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…
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…
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…
Sparse Approximate Multifrontal Factorization with Butterfly Compression for High Frequency Wave Equations
Yang Liu, Pieter Ghysels, Lisa Claus +1
We present a fast and approximate multifrontal solver for large-scale sparse linear systems arising from finite-difference, finite-volume or finite-element discretization of high-f…
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…
Butterfly factorization via randomized matrix-vector multiplications
Yang Liu, Xin Xing, Han Guo +3
This paper presents an adaptive randomized algorithm for computing the butterfly factorization of a matrix with provided that both the matrix and its trans…