Device and Circuit Data Analysis
Project description
DeCiDa Data Analysis and Procedural Simulation Python Library
DeCiDa == Device and Circuit Data Analysis.
DeCiDa is a Python Library of functions and classes for device characterization, circuit design and data analysis.
DeCida is written in pure python (2.7), and requires no code-compilation. It is portable to any operating system where python is installed, and runs under MacOS, Windows, Cygwin, and Linux. Many DeCiDa classes and functions require the numpy and Tkinter packages.
For circuit analysis, DeCiDa provides a flexible scripting class for performing simulations with various circuit simulation tools, such as (Synopsys) HSpice, (Cadence) Spectre, (Silvaco) SmartSpice, (UC Berkeley) NGspice and others. The Tckt class is used to provide a database of process corners for each project, and to provide netlist templating for performing procedural simulations and post-processing. Scripts using Tckt access the database to obtain the corner conditions, modify the netlist, and allow full python looping structures for running the simulation, viewing and analyzing the simulated data.
For data analysis, DeCiDa provides a Data class for reading-in and analyzing data in a number of formats, including nutmeg (NGspice, Spectre, LTspice), CSDF (HSpice), CSV (comma-separated value), SSV (space-separated value), and others. The Data object can be viewed using the XYplot, Histogram or DataViewx classes. DataViewx has commands via menu entries to manipulate and plot the data in different ways, including frequency versus time, eye- and scope-diagrams and column calculations.
DeCiDa started out as a Tcl/Tk application for analyzing measurements of electron devices for performing routine compact-model parameter extraction. To do this fitting, a least-squares optimization algorithm was used. This python version of DeCiDa has a function LevMar (for Levenberg-Marquardt), based on the mpfit package. It is still under development.
What is in the distribution
The decida python library of functions and classes (./decida). This is installed into the site-packages directory.
A test library under decida.test for testing the distribution (./decida/test). This is also installed into the site-packages directory.
Applications in the distribution bin directory (./bin). These are installed into the python bin directory.
HTML documentation of the functions and classes (./doc/html). This is not installed.
Tool-specific scripts (./etc):
simulation tool wrappers (./etc/wrappers)
Circuit simulation tool wrappers that DeCiDa interfaces with. These are installed into ~/.DeCiDa/bin
cython (./etc/cython)
Setup scripts for using cython to compile the Data and XYplotx classes. These are installed into ~/.DeCiDa/cython
dot files (./etc/dot)
Several resource files to be placed in user home directory for Cadence and python. These are installed into ~/.DeCiDa/dot
user local lib directory (./etc/lib)
A place to put user python code. This is set up as ~/.DeCiDa/lib
models (./etc/models)
Case-corners and models for two example technologies from the Predictive Technology Models web-site. These are installed into ~/.DeCiDa/models
projects (./etc/projects)
Two example project simulation directories (bird and trane). These are installed into ~/.DeCiDa/projects
Cadence skill files (./etc/skill)
Several scripts for automatically generating DeCiDa python procedural simulation scripts, and verilog test-bench environments. These are installed into ~/.DeCiDa/skill
stdcell (./etc/stdcell)
Two example standard cell libraries for the two example PTM technologies, from the NangateOpenCell Library. These are installed into ~/.DeCiDa/stdcell
verilog (./etc/verilog)
Files for running Cadence NCsim and viewing the results using SimVision. These are installed into ~/.DeCiDa/verilog
DeCiDa applications
All of these should be in the path after installation:
application: |
description: |
---|---|
calc |
scientific calculator |
dataview |
read, plot and analyze data |
plotter |
plot Cartesian, Parametric, or Polar functions |
twin |
text editor, with additional capability |
gifimg |
create embedded GIF image python class from a GIF image |
pllss |
plot PLL small-signal transfer functions, S-domain and Z-domain |
pll_phase_noise |
plot PLL phase noise components and total phase noise |
ngsp |
UC Berkeley NGspice gui |
op |
read Cadence Spectre operating-point analysis, display node voltages and operating points |
create_sspice_script |
create a Silvaco SmartSpice DeCiDa script |
simvision_csv2col |
convert exported Cadence SimVision csv data to column data |
Simulation tool wrapper scripts
These scripts are installed in ~/.DeCiDa/bin
wrapper script: |
description: |
---|---|
run_hspice |
wrapper to run Synopsys HSpice |
run_ngspice |
wrapper to run UC Berkeley NGspice |
run_sspice |
wrapper to run Silvaco SmartSpice |
run_spectre |
wrapper to run Cadence Spectre |
Thanks to
Python distribution documentation, more Python distribution documentation .
decida/ItclObjectx:
Concepts from [incr Tcl], described in chapter 2, “Object-Oriented Programming with [incr Tcl],” by Michael McLennan, of “Tcl/Tk Tools,” Mark Harrision, 1997, O’Reilly.
decida/FrameNotebook:
Adapted from the Tcl/Tk example in Mark Harrison and Michael McLennan, “Effective Tcl/Tk Programming”, 1997, Addison-Wesley.
decida/Data.read_nutmeg method:
Modified from the read_spice module from Werner Hoch (python_spice-0.0.3).
decida/LevMar:
Modified from the mpfit module from Sergey Koposov, Craig Markwardt and Mark Rivers (mpfit_2013).
bin/gifimg:
Modified from the img2pytk module from Bill Allen (imageEmbedder-1.0).
Example model files:
From Predictive Technology Model from the Nanoscale Integration and Modeling (NIMO) group at Arizona State University.
Example standard cell libraries:
From Si2 openEDA project, Nangate 45nm Open Cell Library, a generic open-source, non-manufacturable standard-cell library.
George Howlett, Michael McLennan, Sani Nassif, Mike Toth and others for developing many of the original concepts which are incorporated in DeCiDa.
Installing DeCiDa
Download and prepare the distribution
unzip/untar the distribution:
tar xvfz DeCiDa.1.0.1-tar.gz
cd into the distribution directory:
cd DeCiDa-1.0.1
you may want to install the DeCiDa html documentation (in ./doc/html) to an appropriate place for future reference. use a browser to read the documentation, using the url file:// specification to point to the index.html file in the html directory.
manually modify the wrapper scripts in the distribution ./etc/wrapper directory (run_*), to point to correct tool locations.
The wrappers have the following references to other tools. Adjust these as needed, as required by your local environment.
wrapper: |
expected tool location: |
---|---|
run_hspice |
/tools/hspice/bin/hspice |
run_ngspice |
/opt/local/bin/ngspice |
run_sspice |
/tools/silvaco/bin/sspice |
run_spectre |
/tools/cds/bin/spectre |
Installing under Enthought Canopy
install in the Canopy Python User Virtual Environment
refer to: Installing packages into Canopy, Canopy python default
be sure that User python is in your path:
python >>> import sys; sys.prefix
you should see a path like one of the following:
/Users/<user>/Library/Enthought/Canopy_32bit/User (MacOs) /home/<user>/Enthought/Canopy_32bit/User (Linux)
install the distribution:
python setup.py install
you will find a new directory .DeCiDa in your home directory containing various tool specific scripts, models and other data
the DeCiDa libraries are installed under site-packages
the DeCiDa applications are installed in the python bin directory so they should be in the user path (may require a shell rehash)
Installing under (2.7) python
be sure that python2.7 is in your path:
python >>> import sys; sys.prefix
you should see a path like one of the following:
/Library/Frameworks/Python.framework/Versions/2.7 (MacOS) /opt/local/lib/python2.7 (Linux)
install the distribution:
python setup.py install
Installing as a local library
DeCiDa can also be installed in a user’s directory without requiring sysadmin privileges.
select or make a directory for putting python libraries:
mkdir ~/python/library
copy the decida library to the python library in your home directory:
cp -R ./decida ~/python/library
edit the python resource file in ./etc/dot (.pythonrc.py). change the pylib definition appropriately to point to ~/python/library
copy the resource file to your home directory:
cp ./etc/dot/.pythonrc.py ~/.
to use decida, import the user package, which imports ~/.pythonrc.py:
>>> import user
alternatively, define the PYTHONPATH environment variable to include ~/python/library in the path
copy the applications to the user home bin directory:
cp ./bin/* ~/bin
Test the distribution using the distribution tests
test the distribution with one or more individual tests:
python >>> import decida.test.test_Calc
should display a calculator
>>> import decida.test.test_Plotterx
should display a plot and equation-set text-window
list all of the tests:
python >>> import decida.test >>> decida.test.test_list()
should print all of the tests
do all of the tests:
python >>> import decida.test_all
this may or may not complete depending on the sequence of closing windows
the tests can also be run directly in the unzipped/tarred (pre-install) directory:
cd DeCiDa-1.0.1/decida/test test_DataViewx_4.py
test the applications installed in the python bin:
twin
should display a text-window (text-editor)
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