Simframe GPU
simframe-gpu is a backend-enabled fork of Simframe maintained to support dustpy-gpu. It preserves the simframe import name and adds the NumPy/CuPy backend infrastructure required by that fork.
Users normally do not need to install this package directly: installing dustpy-gpu from GitHub installs simframe-gpu automatically.
Backend-enabled fields
Upstream simframe implements Field as a NumPy array subclass. In simframe-gpu, Field is a stable array-like wrapper whose internal storage is native to the selected backend: a NumPy array for the NumPy backend and a CuPy array for the CuPy backend. This allows simulation objects using different backends to coexist in one process when executed sequentially and keeps the design extensible to tensor backends that do not inherit from NumPy arrays.
Standard arithmetic, indexing, assignment, and common array attributes remain available through the Field interface. Backend-specific low-level code can explicitly access the native array when an actual numpy.ndarray or cupy.ndarray is required.
Use simframe.frame.field_data(field) when low-level code needs the mutable backend-native storage directly. This helper does not copy or convert the array.
For direct development use, install it in a dedicated virtual environment:
python -m pip install git+https://github.com/astroboylrx/simframe-gpu.git
Refer to the upstream Simframe documentation for the underlying framework API.
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