nvgraph.sh 1.2.18
Install from the command line:
Learn more about npm packages
$ npm install @nodef/nvgraph.sh@1.2.18
Install via package.json:
"@nodef/nvgraph.sh": "1.2.18"
About this version
CLI for nvGraph, which is a GPU-based graph analytics library written by NVIDIA, using CUDA.
🐚 Shell,
📜 Files,
📘 Wiki.
This is for running nvGraph functions right from the CLI with graphs in
MatrixMarket format (.mtx) directly. It just needs a x86_64 linux machine
with NVIDIA GPU drivers installed. Execution time, along with the results
can be saved in JSON/YAML file. The executable code is written in C++.
You can install this with npm install -g nvgraph.sh.
Stability: Experimental.
## Finds single source shortest path from source vertex
## → returns distances
$ nvgraph sssp -o=out.json -f web-Google.mtx -s=1
## Finds pagerank of all vertices
## → returns ranks
$ nvgraph pagerank -o=out.json -f web-Google.mtx -a=0.85 -t=1e-6
## Counts triangles in undirected, lower triangular graph
## → returns count
$ nvgraph triangle-count -o=out.json -f web-Google.mtx
## Traverses breadth-first from source vertex
## → returns distances, predecessors
$ nvgraph traversal-bfs -o=out.json -f web-Google.mtx -s=1| Command | Action |
|---|---|
| pagerank | Finds pagerank of all vertices. |
| sssp | Finds single source shortest path from source vertex. |
| traversal-bfs | Traverses breadth-first from source vertex. |
| triangle-count | Counts triangles in undirected, lower triangular graph. |
- nvGraph pagerank example, EN605.617, JHU-EP-Intro2GPU
- nvGraph pagerank example, CUDA Toolkit Documentation
- nvGraph Library User's Guide
- RAPIDS nvGraph NVIDIA graph library
- Get path of current script when executed through a symlink
