- Feb 10, 2018
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Martin Bauer authored
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- Feb 08, 2018
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Martin Bauer authored
- step class for LB phasefield generic enough to work with 3-phase and N-phase models - cahn hilliard can either be solved by LBM or by finite differences - 3 phase model can be solved with rho phase or without
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- Feb 06, 2018
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Martin Bauer authored
- scaling interface width eta instead of surface tensions tau to correct interface profile & surface tensions
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- Jan 31, 2018
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Martin Bauer authored
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- Jan 19, 2018
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Concept: Generate code involving the (un)packing of fields (from)to linear (1D) arrays, i.e. (de)serialization of the field values for buffered communication. A linear index is generated for the buffer, by inferring the strides and variables of the loops over fields in the AST. In the CPU, this information is obtained through the makeLoopOverDomain function, in pystencils/transformations/transformations.py. On CUDA, the strides of the fields (excluding buffers) are combined with the indexing variables to infer the indexing of the buffer. What is supported: - code generation for both CPU and GPU - (un)packing of fields with all the memory layouts supported by pystencils - (un)packing slices of fields (from)into the buffer - (un)packing subsets of cell values from the fields (from)into the buffer Limitations: - assumes that only one buffer and one field are being operated within each kernel, however multiple equations involving the buffer and the field are supported. - (un)packing multiple cell values (from)into the buffer is supported, however it is limited to the fields with indexDimensions=1. The same applies to (un)packing subset of cell values of each cell. Changes in this commit: - add the FieldType enumeration to pystencils/field.py, to mark fields of various types. This is replaces and is a generalization of the isIndexedField boolean flag of the Field class. For now, the types supported are: generic, indexed and buffer fields. - add the fieldType property to the Field class, which indicates the type of the field. Modifications were also performed to the member functions of the Field class to add this property. - add resolveBufferAccesses function, which replaces the fields marked as buffers with the actual field access in the AST traversal. Miscelaneous changes: - add blockDim and gridDim variables as CUDA indexing variables.
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- Jan 11, 2018
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Martin Bauer authored
because boundary handling does its own flag management
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Martin Bauer authored
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Martin Bauer authored
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Martin Bauer authored
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Martin Bauer authored
- single function to create kernel for specified target - data type creation from string - reuse numpy functionality - bugfixes in dot display
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- Dec 11, 2017
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Martin Bauer authored
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- Oct 11, 2017
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Jan Hönig authored
Added LLVM: CodePrinter and a compiler Updated data_types Added tests Added jupyter notebooks Fixed bugs Restructured transformation functions
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- Oct 10, 2017
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Martin Bauer authored
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Martin Bauer authored
- renaming because of clashes with types.py from other packages
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- Sep 16, 2017
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Martin Bauer authored
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- Aug 11, 2017
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Martin Bauer authored
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- Jul 26, 2017
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Martin Bauer authored
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- Jul 01, 2017
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Martin Bauer authored
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Martin Bauer authored
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Martin Bauer authored
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- Apr 21, 2017
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Martin Bauer authored
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- Apr 11, 2017
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Martin Bauer authored
previously the value was taken from the cell next to the boundary cell (i.e. the inner cell)
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- Mar 24, 2017
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Martin Bauer authored
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Martin Bauer authored
- abstraction layer for selecting CUDA block and grid sizes - line based (was implemented before) - block based (new, more flexible) - new conditional (if/else) ast node, which is necessary for indexing schemes (guarding if)
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- Mar 14, 2017
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Martin Bauer authored
- this extension is necessary for more generic boundary treatment - cells can now be structs, i.e. contain different data types - instead of having numeric index dimensions, one can use the index per cell to adress struct elements
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- Mar 13, 2017
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Martin Bauer authored
- use data type class consistently instead of strings (in TypedSymbol, Field and jit module) - new datatype class is based on numpy types with additional specifier information (const and restrict) - translation between data type class and other modules (numpy, ctypes)
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- Feb 13, 2017
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This commit makes the Python code backwards compatible down to Python 2.7. Previously it would only run on Python 3.5 and up. Problems fixed included: - `time.perf_counter()` doesn't exist - all classes need to be new-style - `functools.lru_cache` doesn't exist - only the last argument to a function call can be `*`-expanded - the `nonlocal` keyword doesn't exist - metaclasses are used with a different syntax - `yield from` doesn't exist - `tempdir.TemporaryDirectory` doesn't exist - iterators need a `next()` method
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Martin Bauer authored
- check that fixed size kernels are called with arrays of the correct size - checks that layout of compilation matches runtime layout - not allowed any more to mix fixed & and variable sized fields in a kernel
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- Feb 10, 2017
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Martin Bauer authored
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- Feb 09, 2017
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Martin Bauer authored
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Martin Bauer authored
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Martin Bauer authored
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Martin Bauer authored
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Martin Bauer authored
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Martin Bauer authored
- version with weights in the entropy denominator
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- Dec 22, 2016
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Martin Bauer authored
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- Dec 08, 2016
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Martin Bauer authored
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Jan Hoenig authored
and not as a string. Changed name of the file TypedSymbol to types. Fixed usage of dtype accordingly, however i might not have found every usage of dtype.
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- Dec 04, 2016
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Christian Godenschwager authored
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- Nov 21, 2016
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Martin Bauer authored
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