C graph-algorithm Projects
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SuiteSparse
The official SuiteSparse library: a suite of sparse matrix algorithms authored or co-authored by Tim Davis, Texas A&M University.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
> I believe you are not guaranteed for the edge data of adjacent nodes to be adjacent in memory
The edge data of a particular node is contiguous, but yes, the edge data of a collection of nodes is not contiguous. You can reorder (permute) the graph for some metric as a preprocessing step so that you get better locality. This only works for static graphs though.
> For float-based edge data I think quantization works well, and I believe you can further compress the ROW/COL indices
Yes, index compression is pretty well studied and understood. The challenge here is mostly good compression ratio and high decompression performance. There are a couple of works that I'm aware of that do this for gpus. This repo by Mo Sha et al. (https://github.com/desert0616/GCGT) is pretty good, and I also did some work in this space (https://github.com/pgera/efg).
Index
| Project | Stars | |
|---|---|---|
| 1 | SuiteSparse | 1,068 |
| 2 | efg | 14 |
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