Parallel iterative refinement linear least squares solvers based on all-reduce operations-Reference-Cited by-同舟云学术

Parallel iterative refinement linear least squares solvers based on all-reduce operations

Published:2016-09 Issue: Volume:57 Page:167-184
ISSN:0167-8191
Container-title:Parallel Computing
language:en
Short-container-title:Parallel Computing

Author:

Prikopa Karl E.,Gansterer Wilfried N.,Wimmer Elias

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Graphics and Computer-Aided Design,Computer Networks and Communications,Hardware and Architecture,Theoretical Computer Science,Software

Reference36 articles.

1. Monitoring volcanic eruptions with a wireless sensor network;Werner-Allen,2005

2. First-order system least squares for second-order partial differential equations: Part II;Cai;SIAM J. Numer. Anal.,1997

3. Efficient moment-based inference of admixture parameters and sources of gene flow;Lipson;Mole. Biol. Evol.,2013

4. Communication-optimal parallel and sequential QR and LU factorizations;Demmel;SIAM J. Sci. Comput.,2012

5. ScaLAPACK Users’ Guide;Blackford,1997

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. PolarStar: Expanding the Horizon of Diameter-3 Networks;Proceedings of the 36th ACM Symposium on Parallelism in Algorithms and Architectures;2024-06-17

2. Enhancing Collective Communication in MCM Accelerators for Deep Learning Training;2024 IEEE International Symposium on High-Performance Computer Architecture (HPCA);2024-03-02

3. In-network Allreduce with Multiple Spanning Trees on PolarFly;Proceedings of the 35th ACM Symposium on Parallelism in Algorithms and Architectures;2023-06-17

4. Accelerating Allreduce with in-network reduction on Intel PIUMA;IEEE Micro;2021

5. In-network reductions on multi-dimensional HyperX;SYMP HI PER INT;2021