- was not used consistently before
- symbol names are expected to be valid C identifiers
- for complicated field names, the latex_name of field should be used

- small (length < 5) arrays with shape and stride information had to be
  memcpy'd to the GPU before every kernel call
- instead of passing the information as arrays, the single elements are
  passed
- leads to more function arguments, but simplifies GPU kernel calls

-> changes in all backends required

- put all buffer related stuff into separate functions
- should be functionally equivalent

Dominik Ernst authored Oct 31, 2018 and Martin Bauer committed Nov 13, 2018

Transformations on the Sympy equation level, that aim to reduce the amount of registers the Compiler needs. Primarily aimed at GPUs. The function livenessOptTransformation is a sequence of three sub transformations, which has been determined by a genetic optimization algorithm.
The file test_liveness_opts.py is a simple code that performs the transformation and tests whether the resulting equations are still generatable and compilable. Numerical results are not checked.

Make AssignmentCollection iteratable

See merge request software/pystencils!17

- field access are now equal if their underlying fields compare as equal
  not only if the id of their fields are equal

- bugfix in vector-typing of piecewise functions
- cast_function is now a sympy atom - fixes problems with sympy > 1.1
- replace_inner_stride_with_one is a bit faster now

- if a field access is printed in compass or index notation seems to
  depend on the sympy version
- removed doctests that rely on the printed form

- Added test for linear equation system and moved it to pystencils.utils

- added isotropic version

- new functions to easily extract stencil coefficients and visualize them
- Moved stencil functions from lbmpy to pystencils

- constants are typed - no need any more for this parameter

- hash function was not correctly implemented
- sometimes this caused a bug where latex version was not correctly displayed

-> test_numerical_1D notebook