Pycuda lets you access nvidia??s 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 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.
this package contains debug extensions for the python 3 debug interpreter.