Accelerating domain propagation: An efficient GPU-parallel algorithm over sparse matrices-Reference-Cited by-同舟云学术

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Accelerating domain propagation: An efficient GPU-parallel algorithm over sparse matrices

Published:2022-03 Issue: Volume:109 Page:102874
ISSN:0167-8191
Container-title:Parallel Computing
language:en
Short-container-title:Parallel Computing

Author:

Sofranac Boro^ORCID,Gleixner Ambros,Pokutta Sebastian

Funder

Deutsche Forschungsgemeinschaft

Bundesministerium für Bildung und Forschung

IEEE Foundation

Federal Ministry of Education and Research Berlin Office

Anacostia Community Museum

Publisher

Elsevier BV

Subject

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

Reference23 articles.

1. Mixed integer programming: Analyzing 12 years of progress;Achterberg,2013

2. Progress in academic computational integer programming;Koch,2013

3. Integer and Combinatorial Optimization;Nemhauser,1988

4. Feasibility-based bounds tightening via fixed points;Belotti,2010

5. Constraint Integer Programming;Achterberg,2009

Cited by 2 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. A heterogeneous parallel model of unstructured mesh finite element method based on CPU+GPU;Highlights in Science, Engineering and Technology;2023-11-29

2. Comparative Study of CUDA GPU Implementations in Python With the Fast Iterative Shrinkage-Thresholding Algorithm for LASSO;IEEE Access;2022

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