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https://github.com/msaligane/Big-DoE-OpenROAD
Framework to launch massive number of synthesis and apr runs and collect data out of the log files. The data can be then used for modeling (ML, etc..)
https://github.com/msaligane/Big-DoE-OpenROAD
Last synced: 2 months ago
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Framework to launch massive number of synthesis and apr runs and collect data out of the log files. The data can be then used for modeling (ML, etc..)
- Host: GitHub
- URL: https://github.com/msaligane/Big-DoE-OpenROAD
- Owner: msaligane
- License: bsd-3-clause
- Created: 2021-01-26T17:03:17.000Z (almost 4 years ago)
- Default Branch: main
- Last Pushed: 2023-03-10T01:58:48.000Z (almost 2 years ago)
- Last Synced: 2024-08-03T17:10:43.012Z (6 months ago)
- Language: Jupyter Notebook
- Homepage:
- Size: 390 KB
- Stars: 6
- Watchers: 2
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome-opensource-hardware - big-doe-openroad
README
# Big-DoE-OpenROAD
The run_design.py script executes the following steps:
1. Modify the deisgn and platform config files to set different core utilization, clock period, place density, etc.
2. Create NUM_PROCESS different Makefiles.
3. Start NUM_PROCESS jobs.
4. Collect results/logs/reports/objects/designs folders, the pdn.cfg and the config.mk files in a data folder.
Currently, the run_design.py can use LHS method to generate random data points, and the following parameters can be swept using the script.
```
CLK_PERIOD - constraint.sdc in designs
CORE_UTILIZATION - config.mk in designs
ASPECT_RATIO - config.mk in designs
PLACE_DENSITY - config.mk in designs
GP_PAD - config.mk in platforms
DP_PAD - config.mk in platforms
FLATTEN - synth.tcl in scripts
ABC_CLOCK_PERIOD - synth.tcl in scripts
PINS_DISTANCE - io_placement.tcl in scripts
CTS_CLUSTER_SIZE - cts.tcl in scripts
CTS_CLUSTER_DIAMETER - cts.tcl in scripts
LAYER_ADJUST - fastroute.tcl in platforms
GR_OVERFLOW - fastroute.tcl in platforms
```
Different adjustment values can be applied to separate layers in **LHS_ATTRS** in the following way:
```
"LAYER_ADJUST": ['uniform', 0.1, 0.7], - default range
"LAYER_ADJUST_met1": ['uniform', 0.2, 0.4], - range for met1 only
"LAYER_ADJUST_met2": ['uniform', 0.5, 0.6], - range for met2 only
```
The genMetrics_bigDoE.py script extracts tns/wns/power values from designs' reports swept by run_design.py. The Big-DOE-plots.ipynb is used to plot figures/distributions within Jupyter Notebook.
A clean_doe taget is added at the end of the Makefile to delete files/folders from the previous runs
```
clean_doe:
rm -rf ./data
rm -rf ./designs/*/*parallel*
rm -rf ./*/process*
rm -f Makefile_process*
rm -rf ./doe_reports
rm -f ./platforms/sky130hd/config_*
rm -f ./platforms/sky130hs/config_*
rm -f ./platforms/sky130hs/fastroute_*
rm -f ./platforms/sky130hd/fastroute_*
rm -f $(SCRIPTS_DIR)/cts_*.tcl $(SCRIPTS_DIR)/synth_*.tcl $(SCRIPTS_DIR)/global_route_*.tcl
rm -f doe.log
```