Open Problems in (Hyper) Graph Decomposition
Large networks are useful in a wide range of applications. Sometimes problem instances
are composed of billions of entities. Decomposing and analyzing these structures helps us …
are composed of billions of entities. Decomposing and analyzing these structures helps us …
Recent Trends in Graph Decomposition (Dagstuhl Seminar 23331)
This report documents the program and the outcomes of Dagstuhl Seminar 23331" Recent
Trends in Graph Decomposition", which took place from 13. August to 18. August, 2023. The …
Trends in Graph Decomposition", which took place from 13. August to 18. August, 2023. The …
[PDF][PDF] Recent Trends in Graph Decomposition
This report documents the program and the outcomes of Dagstuhl Seminar 23331 “Recent
Trends in Graph Decomposition”, which took place from 13. August to 18. August, 2023. The …
Trends in Graph Decomposition”, which took place from 13. August to 18. August, 2023. The …
Contiguous Graph Partitioning For Optimal Total Or Bottleneck Communication
W Ahrens - arXiv preprint arXiv:2007.16192, 2020 - arxiv.org
Graph partitioning schedules parallel calculations like sparse matrix-vector multiply (SpMV).
We consider contiguous partitions, where the $ m $ rows (or columns) of a sparse matrix …
We consider contiguous partitions, where the $ m $ rows (or columns) of a sparse matrix …