devsim/devsim: v1.4.6

DEVSIM

https://devsim.org Version: v1.4.6

Id OS Arch devsim_linux_v1.4.6 Linux x86_64 (64 bit) devsim_macos_v1.4.6 macOS High Sierra, Mojave x86_64 (64 bit) devsim_win64_v1.4.6 Microsoft Windows 7, 10 x64 (64 bit) devsim_win32_v1.4.6 Microsoft Windows 7, 10 x86 (32 bit) devsim_msys_v1.4.6 Microsoft Windows 7, 10 x64 (64 bit) Version 1.4.6 Version Information

Parameter info can be queried for getting version information. The file testing/info.py contains an example.

  python info.py
  {'copyright': 'Copyright © 2009-2020 DEVSIM LLC', 'direct_solver': 'mkl_pardiso', 'extended_precision': True, 'license': 'Apache License, Version 2.0', 'version': '1.4.6', 'website': 'https://devsim.org'}

Extended Precision

The example examples/diode/gmsh_diode3d_float128.py provides an example where extended precision is enabled.

Python Formatting

The Python scripts in the examples and testing directories have been reformatted to be more consistent with language standards.

Platforms

Microsoft Windows 10 is supported and is now compiled using Microsoft Visual Studio 2019.

Microsoft Windows 7 is no longer supported, as Microsoft has dropped support as of January 14, 2020.

External Meshing

Support for reading meshes from Genius Device Simulator has been completely removed from DEVSIM.

Platforms:

• Centos 6 (Linux compatible)
• macOS 10.13
• Microsoft Windows 7, 10 (32, 64 bit)

Notes are available in these files:

• linux.txt
• windows.txt
• macos.txt

Packages required

This software requires a working installation of:

The following versions of Python are supported in the binary releases:

• Python 3.6
• Python 3.7

For macOS, Linux, and Microsoft Windows, the recommended distributions are the following.

Anaconda contains many scientific software packages and is available from: https://continuum.io/downloads.

Miniconda is a much smaller download and is available from: https://conda.io/miniconda.html

Math Libraries

The releases are built against the Intel Math Kernel Library. These libraries are available through Anaconda or Miniconda using the following commands:

• conda install mkl numpy