最終更新:2011-02-24 (木) 07:47:13 (4808d)
PyCUDA
Top / PyCUDA
http://mathema.tician.de/software/pycuda
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.
PyCUDAの紹介 from Yosuke Onoue
