Attributed Hierarchical Port Graph
Project description
ahp_graph - Python Attributed Hierarchical Port Graph
AHP Graphs - https://arxiv.org/pdf/1802.06492.pdf
!!! Requires Python3.9 at a minimum !!!
Ubuntu apt packages:
apt install graphviz libgraphviz-dev
RHEL/CentOS yum packages:
yum install graphviz graphviz-devel
Python3 packages:
python3 -m pip install pygraphviz orjson
Useful Tips
- Assembly names are automatically prefixed to the expanded devices names when the graph is flattened
- Besides graph construction, the main features that ahp_graph provides are several outputs
- SSTGraph.build() will immediately turn your graph into SST components and begin a simulation
- SSTGraph.write_json() will output the graph along with parameters in JSON format
- DeviceGraph.write_dot() will output the graph in DOT format and optionally draw SVGs with them
- All output generated by ahp_graph goes into a folder called 'output'
- This is for the SSTGraph.write_json() and DeviceGraph.write_dot() functions
- SST global parameters are set by adding things to the DeviceGraph attr field
- SST component parameters are set by adding things to the Device attr field
- You can still do normal SST Python things (examples below):
- sst.setProgramOption()
- sst.setStatisticLoadLevel()
- sst.setStatisticOutput()
- SSTGraph.build() returns a dictionary of devices with their name as the key
- You can use this to enable statistics for devices after they are created
- If you plan to build the graph with ahp_graph partitioning and run with MPI, remember to include the '--parallel-load=SINGLE' flag to sst
- '--parallel-load' by default will work with multiple unique files
- ahp_graph can generate the graph for each rank using a single file, so it needs the value 'SINGLE'
- By default sst grabs all command line parameters
- You can pass parameters to the python script by putting '-- ' before your script parameters
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
ahp_graph-0.0.1.tar.gz
(29.6 kB
view hashes)
Built Distribution
ahp_graph-0.0.1-py3-none-any.whl
(15.8 kB
view hashes)
Close
Hashes for ahp_graph-0.0.1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9451dd42ded8f796f052d535dc09c948ab121b688364129d8e9f70b4f184d501 |
|
MD5 | fd37e9871d5d971c297e68bdbf460cfd |
|
BLAKE2b-256 | ebc1883b8b0ff5f3f748b8f457d095b2be5dfcab79e8dd35784adb50bc3e796d |