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33 lines
1.5 KiB
Plaintext
33 lines
1.5 KiB
Plaintext
Wally PPA Study
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July 8, 2022
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Madeleine Masser-Frye
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mmasserfrye@hmc.edu
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___________________
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Apologies for issues in this folder, code was written originally for individual use and documentation was compiled in haste. Please feel free to contact the author with questions.
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-------------------
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ppaSynth.py
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Run to synthesize datapath modules from src/ppa.
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To run a specific combination of widths, modules, techs, and freqs,
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modify those lists and use allCombos() to generate synthsToRun (comment out freqSweep).
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To run a sweep of frequencies around the best delay found in existing syntheses (according to bestSynths.csv), modify the parameters and use freqSweep to generate synthsToRun.
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To remove synths to be run that already exist in /runs from synthsToRun, use filterRedundant().
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Syntheses run in parallel but you may encounter issues doing more than a dozen or so at once.
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-------------------
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ppaAnalyze.py
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Run to plot results of PPA syntheses. See docstrings for individual function info.
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-------------------
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bestSynths.csv
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Results of the synthesis for each combination of module, width, and tech with the best achievable delay. Generated by csvOfBest() in ppaAnalyze.py
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-------------------
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ppaFitting.csv & ppaEquations.csv
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Representations of the regression fit for each module and metric. Generated in ppaAnalyze.py by makeCoefTable() and makeEqTable().
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-------------------
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ppaData.csv
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Results from all synthesis runs. Generated by synthsintocsv() and used by synthsfromcsv in ppaAnalyze.py.
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