- Release date: Still under development.
- Remove pyzoltan, cyarray into their own packages on pypi.
90 pull requests were merged for this release. Thanks to the following who contributed to this release (in alphabetical order): A Dinesh, Abhinav Muta, Aditya Bhosale, Ananyo Sen, Deep Tavker, Prabhu Ramachandran, Vikas Kurapati, nilsmeyerkit, Rahul Govind, Sanka Suraj.
- Release date: 26th November, 2018.
- Enhancements:
- Initial support for transparently running PySPH on a GPU via OpenCL.
- Changed the API for how adaptive DT is computed, this is now to be set in
the particle array properties called
dt_cfl, dt_force, dt_visc
. - Support for non-pairwise particle interactions via the
loop_all
method. This is useful for MD simulations. - Add support for
py_stage1, py_stage2 ...
, methods in the integrator. - Add support for
py_initialize
andinitialize_pair
in equations. - Support for using different sets of equations for different stages of the integration.
- Support to call arbitrary Python code from a
Group
via thepre/post
callback arguments. - Pass
t, dt
to the reduce method. - Allow particle array properties to have strides, this allows us to define properties with multiple components. For example if you need 3 values per particle, you can set the stride to 3.
- Mayavi viewer can now show non-real particles also if saved in the output.
- Some improvements to the simple remesher of particles.
- Add simple STL importer to import geometries.
- Allow user to specify openmp schedule.
- Better documentation on equations and using a different compiler.
- Print convenient warning when particles are diverging or if
h, m
are zero. - Abstract the code generation into a common core which supports Cython, OpenCL and CUDA. This will be pulled into a separate package in the next release.
- New GPU NNPS algorithms including a very fast oct-tree.
- Added several sphysics test cases to the examples.
- Schemes:
- Add a working Implicit Incompressible SPH scheme (of Ihmsen et al., 2014)
- Add GSPH scheme from SPH2D and all the approximate Riemann solvers from there.
- Add code for Shepard and MLS-based density corrections.
- Add kernel corrections proposed by Bonet and Lok (1999)
- Add corrections from the CRKSPH paper (2017).
- Add basic equations of Parshikov (2002) and Zhang, Hu, Adams (2017)
- Bug fixes:
- Ensure that the order of equations is preserved.
- Fix bug with dumping VTK files.
- Fix bug in Adami, Hu, Adams scheme in the continuity equation.
- Fix mistake in WCSPH scheme for solid bodies.
- Fix bug with periodicity along the z-axis.
- Release date: 17th September, 2017
- Mayavi viewer now supports empty particle arrays.
- Fix error in scheme chooser which caused problems with default scheme property values.
- Add starcluster support/documentation so PySPH can be easily used on EC2.
- Improve the particle array so it automatically ravel's the passed arrays and also accepts constant values without needing an array each time.
- Add a few new examples.
- Added 2D and 3D viewers for Jupyter notebooks.
- Add several new Wendland Quintic kernels.
- Add option to measure coverage of Cython code.
- Add EDAC scheme.
- Move project to github.
- Improve documentation and reference section.
- Fix various bugs.
- Switch to using pytest instead of nosetests.
- Add a convenient geometry creation module in
pysph.tools.geometry
- Add support to script the viewer with a Python file, see
pysph view -h
. - Add several new NNPS schemes like extended spatial hashing, SFC, oct-trees etc.
- Improve Mayavi viewer so one can view the velocity vectors and any other vectors.
- Viewer now has a button to edit the visualization properties easily.
- Add simple tests for all available kernels. Add
SuperGaussian
kernel. - Add a basic dockerfile for pysph to help with the CI testing.
- Update build so pysph can be built with a system zoltan installation that is
part of trilinos using the
USE_TRILINOS
environment variable. - Wrapping the
Zoltan_Comm_Resize
function inpyzoltan
.
- Release date: 14th July, 2016.
- Improve many examples to make it easier to make comparisons.
- Many equation parameters no longer have defaults to prevent accidental errors from not specifying important parameters.
- Added support for
Scheme
classes that manage the generation of equations and solvers. A user simply needs to create the particles and setup a scheme with the appropriate parameters to simulate a problem. - Add support to easily handle multiple rigid bodies.
- Add support to dump HDF5 files if h5py is installed.
- Add support to directly dump VTK files using either Mayavi or PyVisfile,
see
pysph dump_vtk
- Improved the nearest neighbor code, which gives about 30% increase in performance in 3D.
- Remove the need for the
windows_env.bat
script on Windows. This is automatically setup internally. - Add test that checks if all examples run.
- Remove unused command line options and add a
--max-steps
option to allow a user to run a specified number of iterations. - Added Ghia et al.'s results for lid-driven-cavity flow for easy comparison.
- Added some experimental results for the dam break problem.
- Use argparse instead of optparse as it is deprecated in Python 3.x.
- Add
pysph.tools.automation
to facilitate easier automation and reproducibility of PySPH simulations. - Add spatial hash and extended spatial hash NNPS algorithms for comparison.
- Refactor and cleanup the NNPS related code.
- Add several gas-dynamics examples and the
ADEKEScheme
. - Work with mpi4py_ version 2.0.0 and older versions.
- Fixed major bug with TVF implementation and add support for 3D simulations with the TVF.
- Fix bug with uploaded tarballs that breaks
pip install pysph
on Windows. - Fix the viewer UI to continue playing files when refresh is pushed.
- Fix bugs with the timestep values dumped in the outputs.
- Fix floating point issues with timesteps, where examples would run a final extremely tiny timestep in order to exactly hit the final time.
- Release date: 18th August, 2015.
- Fix bug with
output_at_times
specification for solver. - Put generated sources and extensions into a platform specific directory in
~/.pysph/sources/<platform-specific-dir>
to avoid problems with multiple Python versions, operating systems etc. - Use locking while creating extension modules to prevent problems when multiple processes generate the same extesion.
- Improve the
Application
class so users can subclass it to create examples. The users can also add their own command line arguments and add pre/post step/stage callbacks by creating appropriate methods. - Moved examples into the
pysph.examples
. This makes the examples reusable and easier to run as installation of pysph will also make the examples available. The examples also perform the post-processing to make them completely self-contained. - Add support to write compressed output.
- Add support to set the kernel from the command line.
- Add a new
pysph
script that supportsview
,run
, andtest
sub-commands. Thepysph_viewer
is now removed, usepysph view
instead. - Add a simple remeshing tool in
pysph.solver.tools.SimpleRemesher
. - Cleanup the symmetric eigenvalue computing routines used for solid mechanics problems and allow them to be used with OpenMP.
- The viewer can now view the velocity magnitude (
vmag
) even if it is not present in the data. - Port all examples to use new
Application
API. - Do not display unnecessary compiler warnings when there are no errors but display verbose details when there is an error.
- Release date: 12th June, 2015
- Support for tox, this makes it trivial to test PySPH on py26, py27 and py34 (and potentially more if needed).
- Fix bug in code generator where it is unable to import pysph before it is installed.
- Support installation via
pip
by allowingegg_info
to be run without cython or numpy. - Added Codeship CI build using tox for py27 and py34.
- CI builds for Python 2.7.x and 3.4.x.
- Support for Python-3.4.x.
- Support for Python-2.6.x.
- Release date: 3rd June, 2015.
- First public release of the new PySPH code which uses code-generation and is hosted on bitbucket.
- OpenMP support.
- MPI support using Zoltan.
- Automatic code generation from high-level Python code.
- Support for various multi-step integrators.
- Added an interpolator utility module that interpolates the particle data onto a desired set of points (or grids).
- Support for inlets and outlets.
- Support for basic Gmsh input/output.
- Plenty of examples for various SPH formulations.
- Improved documentation.
- Continuous integration builds on Shippable, Drone.io, and AppVeyor.