pycuda Python wrapper for Nvidia CUDA PyCuda lets you access `Nvidia <http://nvidia.com>`_'s `CUDA <http://nvidia.com/cuda/>`_ parallel computation API from Python. Several wrappers of the CUDA API already exist-so what's so special about PyCuda? * Object cleanup tied to lifetime of objects. This idiom, often called `RAII <http://en.wikipedia.org/wiki/Resource_Acquisition_Is_Initialization>`_ in C++, makes it much easier to write correct, leak- and crash-free code. PyCuda knows about dependencies, too, so (for example) it won't detach from a context before all memory allocated in it is also freed. * Convenience. Abstractions like pycuda.driver.SourceModule and pycuda.gpuarray.GPUArray make CUDA programming even more convenient than with Nvidia's C-based runtime. * Completeness. PyCuda puts the full power of CUDA's driver API at your disposal, if you wish. * Automatic Error Checking. All CUDA errors are automatically translated into Python exceptions. * Speed. PyCuda's base layer is written in C++, so all the niceties above are virtually free. * Helpful `Documentation <http://documen.tician.de/pycuda>`_. Andreas Kloeckner e3bf4a00975b603e08b8666cbf2589efd0066885 0.92