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This is the XDM netlist converter, used to convert PSPICE and HSPICE netists into Xyce format.


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Xyce(TM) XDM Netlist Translator

Xyce(TM) XDM Netlist Translator Copyright 2002-2020 National Technology & Engineering Solutions of Sandia, LLC (NTESS). Under the terms of Contract DE-NA0003525 with NTESS, the U.S. Government retains certain rights in this software.

This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program. If not, see

XDM uses CMake, the Boost Spirit header files, the Boost Python libraries, and Python 3 to create a mixed language Python/C++ tool called xdm_bdl that can translate PSpice, HSpice, and Spectre netlist files into Xyce-compatible netlist files. XDM is available in binary form for Unix, Mac, and Windows systems as part the Xyce release here Xyce and XDM along with the XDM User's Guide. Source code for XDM and Xyce can be found here XDM and Xyce Source Code.

There are two ways to run xdm_bdl both are available with the released version of XDM: 1. As a python script that loads the compiled XDM libraries SpiritCommon, SpiritExprCommon, and XdmRapidXmlReader. These are C++ libraries that can be imported as Python 3 modules. 2. As a standalone executable built from and the aforementioned binaries using PyInstaller. Both are available in the release of XDM

Building XDM

Building XDM can be tricky since there are many versions of Boost, Python 3, and C++ compilers available not all of which are compatible with each other. In particular older versions of Boost (before Boost 1.70.0) don't have CMake support and XDM developers may have trouble building against later versions of Python 3 and recent C++ compilers. XDM is developed with Boost 1.70.0 and later, Python 3.8 and 3.9, Clang 12, and GCC 8.X.X. XDM's only C++11 restriction is having a C++11 compatible compiler. As such, older compilers may work as well but aren't supported. Experience has shown that more modern compilers can yield noticeable speed improvements, which may be a factor when converting large files.

CMake configure

The XDM build should be simple given a system where the Boost Python libraries are installed with CMake support and built against Python 3. Something like the CMake command below should work from an empty directory intended to be the build XDM.

Configure with Boost with CMake Support

cmake <path to XDM source> \
    -DBOOST_ROOT=<top level boost intallation location> \

Configure with Boost without CMake Support

The following should also work in the above case but also if Boost doesn't have CMake support:

cmake <path to XDM source> \
    -DBOOST_INCLUDEDIR=<top level boost installation locations>/include \
    -DBOOST_LIBARYDIR=<top level boost installation location>k/lib \

The "top level boost installation location" should contain the typical "include" and "lib" directories and with a "lib/cmake" sub-directory that contains a number of CMake files if CMake support is available.


1. CMake can be invoked from the command line on Unix-like systems with the
   command ```cmake``` or ```ccmake``` to use an interactive NCurses GUI.
   On Windows CMake is GUI based and works much like the Unix based NCurses
2. PyInstaller is optional for building XDM. If is available to CMake it
   will be used to create a standalone executable xdm_bdl that can be
   relocated and shared with others on compatible systems. If PyInstaller
   is not available then can be used in conjunction with
   SpiritCommon, SpiritExprCommon, and XdmRapidXmlReader libraries built by
   XDM and CMake.
3. It is generally a good idea to build CMake projects in a directory other
   than the directory that contains the source code. If 'xdm' is the XDM
   source directory in the snippet below, a good practice is to make the
   build directory a peer to the source directory:
    <path to working directory>/
4. BOOST_ROOT can be set as an environment variable instead of as a CMake
   argument. The latter takes precedence if both are used.
5. To specify which C++ compiler CMake should use see:
    - [CMake CXX](
7. For available CMake build configurations see: [CMake Build Variants](
8. XDM will not work with Python 2.

Common CMake XDM problems:

1. The most common XDM build problem is when Boost is built with a
   different version of Python from what CMake found in the configuration
   process. This will likely cause run-time errors and crashes with
   uninformative messages.
2. Another problem may be that PyInstaller is not compatible with the
   Python used to build Boost. Which is a variation of the first problem.


Primary XDM Depenencies

- [CMake](
- [Python](
- [Boost](

CMake and finding dependencies

- [CMake and Boost](
- [CMake and Python](
- Since PyInstaller is single file, there's no explicit CMake support and
   it is up to the user to specify the full path to PyInstaller as shown

Package managers

-  [SPACK]( Linux, Mac
-  [Macports]( Mac
-  [Homebrew]( Mac
-  [Fink]( Mac

Installing dependencies

Boost and Python dependencies can be installed on most unix systems via the system package manager. There are several options for local installation. Package managers are helpful since they attempt to manage dependencies between things like Python 3 and the Boost Python libraries. The package managers below have been sucessfully used to build XDM dependencies. Linux package managers work as well.

-  [SPACK]( Linux, Mac
-  [Macports]( Mac
-  [Homebrew]( Mac
-  Linux packages managers

XDM can be built on Windows 10 using the MSVC Compiler suite. We typically install the Python binaries and build boost with MSVC. XDM has not been tested with Cygwin.

-  [Python](
-  [Boost](
-  [MSVC](


If PyInstaller isn't available with the systems's Python installation or is outdated a Python virtual environment can be used to install a local version of PyInstaller that is compatible with the system's Python 3 installation.

- To create a Python virtual environment and activate it
  python3 -m venv venv
  source ./venv/bin/activate
- Install pip and then PyInstaller. The proxy settings may not be necessary

  export HTTPS_PROXY=<proxy address>
  pip install PyInstaller
- Test PyInstaller before building XDM

  echo "print('Hello')" >
- PyInstaller may also be available via a system compatible package manager
- For more details see [Python Virtual Environemnts](