| Name | norc JSON |
| Version |
0.0.1
JSON |
| download |
| home_page | None |
| Summary | Noise Resilient Hardware Counters in HPC |
| upload_time | 2025-08-09 13:24:11 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.8 |
| license | None |
| keywords |
hardware counter
noise
hpc
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# NORC Analysis Components
**NORC** is a Python toolkit for measuring and analyzing the **noise resilience** of hardware counters in High-Performance Computing (HPC) systems.
It provides both command-line utilities and a GUI for automated performance measurements, statistical analysis, visualization, and ranking of metrics.
---
## Installation
Clone the repository and install locally:
```bash
git clone https://github.com/tuda-parallel/NORC.git
cd NORC/analysis
pip install .
```
## Analyzing Results
NORC offers two types of analysis tools:
- **CLI Tools** – `norc_analyze`, [`norc_plot`](doc/plot.md), and [`norc_rank`](doc/rank.md)
- **GUI Tool** – `norc_gui`
### NORC CLI
All CLI tools accept an **experiment directory** as input.
`norc_plot` and `norc_rank` must be run **after** `norc_analyze` has processed the experiment.
Example workflow:
```bash
norc_analyze /path/to/experiment # Perform analysis
norc_plot /path/to/experiment # Generate plots
norc_rank /path/to/experiment # Rank metrics
```
### NORC GUI
The GUI (`norc_gui`) requires no parameters.
After launch:
1. Use the status bar to select the root directory of an experiment.
2. If the experiment has not been analyzed, NORC will process it automatically.
## tdlr;
After installation, the following commands are available
```bash
pip install .
norc_gui # Launches the GUI
norc_analyze /path/to/experiment # Analyze results
norc_plot /path/to/experiment # Generate plots (requires analyze)
norc_rank /path/to/experiment # Rank metrics (requires analyze)
```
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"description": "# NORC Analysis Components\n\n**NORC** is a Python toolkit for measuring and analyzing the **noise resilience** of hardware counters in High-Performance Computing (HPC) systems. \nIt provides both command-line utilities and a GUI for automated performance measurements, statistical analysis, visualization, and ranking of metrics.\n\n---\n## Installation\n\nClone the repository and install locally:\n\n```bash\ngit clone https://github.com/tuda-parallel/NORC.git\ncd NORC/analysis\npip install .\n```\n\n## Analyzing Results\n\nNORC offers two types of analysis tools:\n- **CLI Tools** \u2013 `norc_analyze`, [`norc_plot`](doc/plot.md), and [`norc_rank`](doc/rank.md) \n- **GUI Tool** \u2013 `norc_gui`\n\n### NORC CLI\nAll CLI tools accept an **experiment directory** as input. \n`norc_plot` and `norc_rank` must be run **after** `norc_analyze` has processed the experiment.\n\nExample workflow:\n```bash\nnorc_analyze /path/to/experiment # Perform analysis\nnorc_plot /path/to/experiment # Generate plots\nnorc_rank /path/to/experiment # Rank metrics\n```\n### NORC GUI\nThe GUI (`norc_gui`) requires no parameters.\nAfter launch:\n1. Use the status bar to select the root directory of an experiment.\n2. If the experiment has not been analyzed, NORC will process it automatically.\n\n## tdlr;\nAfter installation, the following commands are available\n```bash\npip install .\nnorc_gui # Launches the GUI\nnorc_analyze /path/to/experiment # Analyze results\nnorc_plot /path/to/experiment # Generate plots (requires analyze)\nnorc_rank /path/to/experiment # Rank metrics (requires analyze)\n```\n\n\n",
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