1. 26 Jun, 2021 1 commit
  2. 27 Apr, 2021 1 commit
  3. 25 Jan, 2021 1 commit
  4. 20 Jan, 2020 1 commit
  5. 18 Jan, 2020 1 commit
  6. 24 Sep, 2019 1 commit
  7. 09 Aug, 2019 1 commit
  8. 11 Jul, 2019 1 commit
  9. 05 May, 2019 1 commit
  10. 21 Mar, 2019 1 commit
    • Martin Bauer's avatar
      Separated modules into subfolders with own setup.py · 1e02cdc7
      Martin Bauer authored
      This restructuring allows for easier separation of modules into
      separate repositories later. Also, now pip install with repo url can be
      used.
      
      The setup.py files have also been updated to correctly reference each
      other. Module versions are not extracted from git state
      1e02cdc7
  11. 26 Feb, 2019 1 commit
    • Martin Bauer's avatar
      Random number generation support for pystencils · 6a01f3e2
      Martin Bauer authored
      - counter-based philox RNG: counter/key is filled with cell coordinate
        and optional external parameters like block position and time step
      - works on CPU and GPU - on CPU only for non-vectorized versions
      
      - introduced more flexible "CustomCodeNode" that can inject
        backend-specific hand-written code
      6a01f3e2
  12. 24 Jan, 2019 1 commit
  13. 19 Sep, 2018 1 commit
  14. 28 Apr, 2018 1 commit
  15. 27 Apr, 2018 4 commits
  16. 13 Apr, 2018 2 commits
  17. 12 Apr, 2018 1 commit
    • Martin Bauer's avatar
      Cleaned up deployment & install · 1534a936
      Martin Bauer authored
      - moved Dockerfiles into separate directory
      - tests for minimal setup on ubuntu & conda
      - adapted setup scripts to correctly handle dependencies
      - new conda environment files for users and developers
      1534a936
  18. 10 Apr, 2018 6 commits
  19. 19 Jan, 2018 1 commit
    • João Victor Tozatti Risso's avatar
      Code generation for field serialization into buffers · 979ee93b
      João Victor Tozatti Risso authored and Martin Bauer's avatar Martin Bauer committed
      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.
      979ee93b
  20. 11 Jan, 2018 1 commit
    • Martin Bauer's avatar
      pystencils cleanup · c598dc78
      Martin Bauer authored
      - single function to create kernel for specified target
      - data type creation from string - reuse numpy functionality
      - bugfixes in dot display
      c598dc78
  21. 10 Oct, 2017 1 commit
  22. 08 Dec, 2016 1 commit
  23. 04 Nov, 2016 1 commit
    • Martin Bauer's avatar
      Sliced iteration · 411af476
      Martin Bauer authored
      - LoopOverDomain changed to be able to loop over rectangular sub-region of field
      - support for slicing with makeSlice
      411af476
  24. 03 Nov, 2016 1 commit
    • Martin Bauer's avatar
      Documentation & Restructuring · aea202a7
      Martin Bauer authored
      - added sphinx files for documentation generation
      - collected kernel creation functions in new "cpu" and "cudagpu" modules
      aea202a7