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Published by tcaduser almost 2 years ago
https://devsim.org
Version: v2.3.1
Id | OS | Arch |
---|---|---|
devsim_linux_v2.3.1 |
Linux |
x86_64 (64 bit) |
devsim_macos_v2.3.1 |
macOS High Sierra, Mojave |
x86_64 (64 bit) |
devsim_win64_v2.3.1 |
Microsoft Windows 10 |
x64 (64 bit) |
DEVSIM is now available on pypi for macOS, Linux, and Microsoft Windows. To install this package for your platform:
pip install devsim
Users of Anaconda Python should install the Intel MKL using
conda install mkl
and may find simulation files and documentation in $CONDA_PREFIX/devsim_data
.
Users of other Python distributions may install this dependency using:
pip install mkl
and may find simulation files and documentation in $VIRTUAL_ENV/devsim_data
when using virtual environments.
The MSYS build is removed as an available binary package. Windows is still supported through the use of the Visual C++ compiler.
The compiler for the Linux build are now upgraded to devtoolset-10
and is now built on manylinux2014
.
Boost is now added as a submodule, instead of using system libraries or Anaconda Python versions. The Linux build no longer requires Anaconda Python.
This software requires a working installation of Python 3 (3.6 or higher).
For macOS, Linux, and Microsoft Windows, the recommended distributions are the following.
Anaconda contains many scientific software packages and is available from:
https://anaconda.com.
Miniconda is a much smaller download and is available from:
https://conda.io/miniconda.html
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
Published by tcaduser almost 2 years ago
Published by tcaduser almost 2 years ago
Published by tcaduser about 2 years ago
Published by tcaduser about 2 years ago
https://devsim.org
Version: v2.2.0
Id | OS | Arch |
---|---|---|
devsim_linux_v2.2.0 |
Linux |
x86_64 (64 bit) |
devsim_macos_v2.2.0 |
macOS High Sierra, Mojave |
x86_64 (64 bit) |
devsim_win64_v2.2.0 |
Microsoft Windows 10 |
x64 (64 bit) |
devsim_msys_v2.2.0 |
Microsoft Windows 10 |
x64 (64 bit) |
It is possible to delete devices using the delete_device
command. Meshes used to instantiate devices may be deleted using the delete_mesh
command. Parameters set on a device and its regions are also cleared from the parameter database.
Extended precision is now available on Windows builds using the Visual Studio Compiler. Note that this precision is not as accurate as the float128 type used on other systems.
Upgraded to SuperLU 5.3 from SuperLU 4.3.
Fixed defects found in Coverity scanning.
This software requires a working installation of Python 3 (3.6 or higher).
For macOS, Linux, and Microsoft Windows, the recommended distributions are the following.
Anaconda contains many scientific software packages and is available from:
https://anaconda.com.
Miniconda is a much smaller download and is available from:
https://conda.io/miniconda.html
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
Published by tcaduser over 2 years ago
https://devsim.org
Version: v2.1.0
Id | OS | Arch |
---|---|---|
devsim_linux_v2.1.0 |
Linux |
x86_64 (64 bit) |
devsim_macos_v2.1.0 |
macOS High Sierra, Mojave |
x86_64 (64 bit) |
devsim_win64_v2.1.0 |
Microsoft Windows 10 |
x64 (64 bit) |
devsim_msys_v2.1.0 |
Microsoft Windows 10 |
x64 (64 bit) |
Since the Intel Math Kernel Library started versioning the names of their dynamic link libraries, it has been difficult to maintain a proper Anaconda Python environment when the version has been updated. With this release, it is possible to use any recent version of the Intel MKL. In addition, the user is able to load alternative BLAS/LAPACK math libraries.
From DEVSIM Version 2.1.0 onward, a specific version is not required when loading the Intel MKL. If the Intel MKL is not found, the import of the devsim
module will fail, and an error message will be printed. This method is the default, and should work when using an Anaconda Python environment with the mkl
package installed.
When using a different Python distribution, or having an installation in a different place, it is possible to specify the location by modifying the LD_LIBRARY_PATH
environment variable on Linux, or using DYLD_LIBRARY_PATH
on macOS. The explicit path may be set to the MKL math libraries may be set using the method in the next section.
It is possible to load alternative implementations of the BLAS/LAPACK used by the software. The DEVSIM_MATH_LIBS
environment variable may be used to set a :
separated list of libraries. These names may be based on relative or absolute paths. The program will load the libraries in order, and stop when all of the necessary math symbols are supplied. If symbols for the Intel MKL are detected, then the Pardiso direct solver will be enabled.
For those building the software, the EXPLICIT_MATH_LOAD
CMAKE option has been added to control the new explicit math loading feature. An important benefit of this option is that it is possible to build a release version of the software, even if the Intel MKL has not been installed on the build computer.
The direct solver may be selected by using the direct_solver
parameter.
devsim.set_parameter(name='direct_solver', value='mkl_pardiso')
The following options are available:
mkl_pardiso
Intel MKL Pardisosuperlu
SuperLU 4.3The default is mkl_pardiso
when the Intel MKL is loaded. Otherwise, the default will switch to superlu
.
The kahan3
and kahan4
functions are now using the Kahan summation algorithm for extended precision model evaluation. Previously, this algorithm was replaced with 128-bit floating point addition and subtraction in releases that support extended precision mode. With this change, better than 128-bit floating precision is available when extended precision is enabled.
devsim.set_parameter(name = "extended_model", value=True)
The testing/kahan_float128.py
test has been added.
The Microsoft Windowswin64
release version is now built using the Visual Studio 2022 compiler. For users needing extended precision on the Windows platform, the msys
build is recommended.
This software requires a working installation of Python 3 (3.6 or higher).
For macOS, Linux, and Microsoft Windows, the recommended distributions are the following.
Anaconda contains many scientific software packages and is available from:
https://anaconda.com.
Miniconda is a much smaller download and is available from:
https://conda.io/miniconda.html
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
Published by tcaduser over 2 years ago
https://devsim.org
Version: v2.0.1
Id | OS | Arch |
---|---|---|
devsim_linux_v2.0.1 |
Linux |
x86_64 (64 bit) |
devsim_macos_v2.0.1 |
macOS High Sierra, Mojave |
x86_64 (64 bit) |
devsim_win64_v2.0.1 |
Microsoft Windows 10 |
x64 (64 bit) |
devsim_msys_v2.0.1 |
Microsoft Windows 10 |
x64 (64 bit) |
The following files were updated in the text documentation distributed with the software.
CONTRIBUTING.md
INSTALL.md
README.md
The release version of this software is build against version 2 of the Intel MKL, which corresponds to the latest version of Anaconda Python. If you have issues running DEVSIM
with this new version, please contact us at https://forum.devsim.org for assistance.
The submodule reference to SYMDIFF
was updated due some changes to its build files. Some SYMDIFF
build scripts in the DEVSIM
repository were also updated.
This software requires a working installation of Python 3 (3.6 or higher).
For macOS, Linux, and Microsoft Windows, the recommended distributions are the following.
Anaconda contains many scientific software packages and is available from:
https://anaconda.com.
Miniconda is a much smaller download and is available from:
https://conda.io/miniconda.html
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
Published by tcaduser almost 3 years ago
https://devsim.org
Version: v2.0.0
Id | OS | Arch |
---|---|---|
devsim_linux_v2.0.0 |
Linux |
x86_64 (64 bit) |
devsim_macos_v2.0.0 |
macOS High Sierra, Mojave |
x86_64 (64 bit) |
devsim_win64_v2.0.0 |
Microsoft Windows 10 |
x64 (64 bit) |
devsim_msys_v2.0.0 |
Microsoft Windows 10 |
x64 (64 bit) |
The Intel Math Kernel Library now uses versioned library names. Binary releases are now updated against the latest versioned dll names from MKL available in the Anaconda Python distribution.
The rampbias
function in the devsim.python_packages.ramp
module has been fixed to properly reduce the bias when there is a convergence failure.
Fixed bug with transient_tr
(trapezoidal) time integration method where the wrong sign was used to integrate previous time steps.
Fixed bug in the charge error calculation, which calculates the simulation result with that a forward difference projection.
Added testing/transient_rc.py
test which compares simulation with analytic result for RC circuit.
Added set_initial_condition
command to provide initial transient conditions based on current solution.
Added create_interface_from_nodes
to make it possible to add interface from non-coincident pairs of nodes.
The maximum_error
and maximum_divergence
options where added to the solve
command. If the absolute error of any iteration goes above maximum_error
, the simulation stops with a convergence failure. The maximum_divergence
is the maximum number of iterations that the simulator error may increase before stopping.
During the solve
, circuit node and circuit solution information is no longer printed to the screen for the default verbosity level. In addition, the number of equations per device and region is no longer displayed at the start of the first iteration.
The code now supports newer versions of SuperLU
. The release version is still using SuperLU 4.3 for the iterative solution method, and the Intel MKL Pardiso for the direct solve method.
The get_matrix_and_rhs
command was not properly accepting the format
parameter, and was always returning the same type.
The build scripts have been updated on all platforms to be less dependent on specific Python 3 versions.
An updated fedora build script has been added. It uses the system installed SuperLU
as the direct solver.
Some out of date files (e.g. RELEASE, INSTALL, . . .) have been removed. The README.md has been updated and the INSTALL.md have been updated.
The variable_name
option is no longer recognized for the devsim.contact_equation
and devsim.interface_equation
as it was not being used.
Notes are available in these files:
linux.txt
windows.txt
macos.txt
This software requires a working installation of Python 3 (3.6 or higher).
For macOS, Linux, and Microsoft Windows, the recommended distributions are the following.
Anaconda contains many scientific software packages and is available from:
https://anaconda.com.
Miniconda is a much smaller download and is available from:
https://conda.io/miniconda.html
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
Published by tcaduser almost 3 years ago
Published by tcaduser over 3 years ago
https://devsim.org
Version: v1.6.0
Id | OS | Arch |
---|---|---|
devsim_linux_v1.6.0 |
Linux |
x86_64 (64 bit) |
devsim_macos_v1.6.0 |
macOS High Sierra, Mojave |
x86_64 (64 bit) |
devsim_win64_v1.6.0 |
Microsoft Windows 10 |
x64 (64 bit) |
devsim_msys_v1.6.0 |
Microsoft Windows 10 |
x64 (64 bit) |
In most circumstances, the software now returns numerical data using the Python array
class. This is more efficient than using standard lists, as it encapsulates a contiguous block of memory. More information about this class can be found at https://docs.python.org/3/library/array.html. The representation can be easily converted to lists and numpy
arrays for efficient manipulation.
When accepting user input involving lists of homogenous data, such as set_node_values
the user may enter data using either a list, string of bytes, or the array
class. It may also be used to input numpy
arrays or any other class with a tobytes
method.
The get_matrix_and_rhs
command has been added to assemble the static and dynamic matrices, as well as their right hand sides, based on the current state of the device being simulated. The format
option is used to specify the sparse matrix format, which may be either in the compressed column or compressed row formats, csc
or csr
.
If the Newton iteration errors keep increasing for 20 iterations in a row, then the simulator stops. This limit was previously 5.
Elements written to the tecplot
format in 2d and 3d have node orderings compatible with the element connectivity in visualization formats. Specifying the reorder=True
option in get_element_node_list
will result in node ordering compatible with meshing and visualization software.
Notes are available in these files:
linux.txt
windows.txt
macos.txt
This software requires a working installation of Python 3 (3.6 or higher).
For macOS, Linux, and Microsoft Windows, the recommended distributions are the following.
Anaconda contains many scientific software packages and is available from:
https://anaconda.com.
Miniconda is a much smaller download and is available from:
https://conda.io/miniconda.html
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
Published by tcaduser over 3 years ago
In most circumstances, the software now returns numerical data using the Python array
class. This is more efficient than using standard lists, as it encapsulates a contiguous block of memory. More information about this class can be found at https://docs.python.org/3/library/array.html. The representation can be easily converted to lists and numpy
arrays for efficient manipulation.
When accepting user input involving lists of homogenous data, such as set_node_values
the user may enter data using either a list, string of bytes, or the array
class. It may also be used to input numpy
arrays or any other class with a tobytes
method.
The get_matrix_and_rhs
command has been added to assemble the static and dynamic matrices, as well as their right hand sides, based on the current state of the device being simulated. The format
option is used to specify the sparse matrix format, which may be either in the compressed column or compressed row formats, csc
or csr
.
If the Newton iteration errors keep increasing for 20 iterations in a row, then the simulator stops. This limit was previously 5.
Published by tcaduser over 3 years ago
https://devsim.org
Version: v1.5.1
Id | OS | Arch |
---|---|---|
devsim_linux_v1.5.1 |
Linux |
x86_64 (64 bit) |
devsim_macos_v1.5.1 |
macOS High Sierra, Mojave |
x86_64 (64 bit) |
devsim_win64_v1.5.1 |
Microsoft Windows 10 |
x64 (64 bit) |
devsim_msys_v1.5.1 |
Microsoft Windows 10 |
x64 (64 bit) |
The following inverse functions and their derivatives are now available in the model interpreter.
erf_inv
Inverse Error Functionerfc_inv
Inverse Complimentary Error Functionderf_invdx
Derivative of Inverse Error Functionderfc_invdx
Derivative of Complimentary Inverse Error FunctionThe Gauss-Fermi Integral, using Paasch's equations are now implemented.
gfi
Gauss-Fermi Integraldgfidx
Derivative of Gauss-Fermi Integraligfi
Inverse Gauss-Fermi Integraldigfidx
Derivative of Inverse Gauss-Fermi IntegralEach of these functions take two arguments, zeta
and s
. The derivatives with respect to the first argument are provided. Please see testing/GaussFermi.py
for an example.
In extended precision mode, the following functions are now evaluated with full extended precision.
Fermi
dFermidx
InvFermi
dInvFermidx
The following double precision tests:
testing/Fermi1.py
Fermi Integral Testtesting/GaussFermi.py
Gauss Fermi Integral TestHave extended precision variants:
testing/Fermi1_float128.py
testing/GaussFermi_float128.py
A new installation script is in the base directory of the package.
It provides instructions of completing the installation to the python
environment without having to set the PYTHONPATH
environment variable.
It notifies the user of missing components to finish the installation within an Anaconda
or Miniconda
environment.
To use the script, use the following command inside of the devsim
directory.
python install.py
The install script will write a file named lib/setup.py
, which can be used to complete the installation using pip
. The script provides instructions for the installation and deinstallation of devsim
.
INFO: Writing setup.py
INFO:
INFO: Please type the following command to install devsim:
INFO: pip install -e lib
INFO:
INFO: To remove the file, type:
INFO: pip uninstall devsim
Notes are available in these files:
linux.txt
windows.txt
macos.txt
This software requires a working installation of Python 3 (3.6 or higher).
For macOS, Linux, and Microsoft Windows, the recommended distributions are the following.
Anaconda contains many scientific software packages and is available from:
https://anaconda.com.
Miniconda is a much smaller download and is available from:
https://conda.io/miniconda.html
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
Published by tcaduser over 3 years ago
Published by tcaduser over 3 years ago
The following inverse functions and their derivatives are now available in the model interpreter.
erf_inv
Inverse Error Functionerfc_inv
Inverse Complimentary Error Functionderf_invdx
Derivative of Inverse Error Functionderfc_invdx
Derivative of Complimentary Inverse Error FunctionThe Gauss-Fermi Integral, using Paasch's equations are now implemented.
gfi
Gauss-Fermi Integraldgfidx
Derivative of Gauss-Fermi Integraligfi
Inverse Gauss-Fermi Integraldigfidx
Derivative of Inverse Gauss-Fermi IntegralEach of these functions take two arguments, zeta
and s
. The derivatives with respect to the first argument are provided. Please see testing/GaussFermi.py
for an example.
In extended precision mode, the following functions are now evaluated with full extended precision.
Fermi
dFermidx
InvFermi
dInvFermidx
The following double precision tests:
testing/Fermi1.py
Fermi Integral Testtesting/GaussFermi.py
Gauss Fermi Integral TestHave extended precision variants:
testing/Fermi1_float128.py
testing/GaussFermi_float128.py
A new installation script is in the base directory of the package.
It provides instructions of completing the installation to the python
environment without having to set the PYTHONPATH
environment variable.
It notifies the user of missing components to finish the installation within an Anaconda
or Miniconda
environment.
To use the script, use the following command inside of the devsim
directory.
python install.py
The install script will write a file named lib/setup.py
, which can be used to complete the installation using pip
. The script provides instructions for the installation and deinstallation of devsim
.
INFO: Writing setup.py
INFO:
INFO: Please type the following command to install devsim:
INFO: pip install -e lib
INFO:
INFO: To remove the file, type:
INFO: pip uninstall devsim
Published by tcaduser over 3 years ago
This is a release candidate for Version 1.5.1. Some features may be added and others may be subject to change before the final release.
A new installation script is in the base directory of the package.
It provides instructions of completing the installation to the python
environment without having to set the PYTHONPATH
environment variable.
It notifies the user of missing components to finish the installation within an Anaconda
or Miniconda
environment.
To use the script, use the following command inside of the devsim
directory.
python install.py
The install script will write a file named lib/setup.py
, which can be used to complete the installation using pip
. The script provides instructions for the installation and deinstallation of devsim
.
INFO: Writing setup.py
INFO:
INFO: Please type the following command to install devsim:
INFO: pip install -e lib
INFO:
INFO: To remove the file, type:
INFO: pip uninstall devsim
The following inverse functions and their derivatives are now available in the model interpreter.
erf_inv
erfc_inv
derf_invdx
derfc_invdx
Published by tcaduser over 3 years ago
Published by tcaduser over 3 years ago
https://devsim.org
Version: v1.5.0
Id | OS | Arch |
---|---|---|
devsim_linux_v1.5.0 |
Linux |
x86_64 (64 bit) |
devsim_macos_v1.5.0 |
macOS High Sierra, Mojave |
x86_64 (64 bit) |
devsim_win64_v1.5.0 |
Microsoft Windows 10 |
x64 (64 bit) |
devsim_msys_v1.5.0 |
Microsoft Windows 10 |
x64 (64 bit) |
The custom_equation
command has been modified to require a third return value. This boolean value denotes whether the matrix entries should be row permutated or not. For the bulk equations this value should be True
. For interface and contact boundary conditions, this value should be False
.
It is now possible to replace an existing custom_equation
.
The file examples/diode/diode_1d_custom.py
demonstrates custom matrix assembly and can be directly compared to examples/diode/diode_1d.py
.
The EdgeNodeVolume
model is now available for the volume contained by an edge.
The contact_equation
command now accepts 3 additional arguments.
edge_volume_model
volume_node0_model
volume_node1_model
These options provide the ability to do volume integration on contact nodes.
The equation
command has replaced the volume_model
option with:
volume_node0_model
volume_node1_model
so that nodal quantities can be more localized.
More details are in the manual.
Notes are available in these files:
linux.txt
windows.txt
macos.txt
This software requires a working installation of Python 3 (3.6 or higher).
For macOS, Linux, and Microsoft Windows, the recommended distributions are the following.
Anaconda contains many scientific software packages and is available from:
https://anaconda.com.
Miniconda is a much smaller download and is available from:
https://conda.io/miniconda.html
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
Published by tcaduser almost 4 years ago
Published by tcaduser almost 4 years ago
Published by tcaduser almost 4 years ago
https://devsim.org
Version: v1.4.14
Id | OS | Arch |
---|---|---|
devsim_linux_v1.4.14 |
Linux |
x86_64 (64 bit) |
devsim_macos_v1.4.14 |
macOS High Sierra, Mojave |
x86_64 (64 bit) |
devsim_win64_v1.4.14 |
Microsoft Windows 10 |
x64 (64 bit) |
devsim_msys_v1.4.14 |
Microsoft Windows 10 |
x64 (64 bit) |
Windows 32 bit is no longer supported. Binary releases of the Visual Studio 2019
MSYS2/Mingw-w64
64-bit builds are still available online.
On Linux, the releases are now on Centos 7, as Centos 6 has reached its end of life on November 30, 2020.
The C++ standard has been raised to C++17.
Notes are available in these files:
linux.txt
windows.txt
macos.txt
This software requires a working installation of Python 3 (3.6 or higher).
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
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