Questions tagged [numba-pro]

NumbaPro is an enhanced version of Numba which adds premium features and functionality that allow developers to rapidly create optimized code that integrates well with NumPy.

With NumbaPro, Python developers can define NumPy ufuncs and generalized ufuncs (gufuncs) in Python, which are compiled to machine code dynamically and loaded on the fly. Additionally, NumbaPro offers developers the ability to target multicore and GPU architectures with Python code for both ufuncs and general-purpose code.

For targeting the GPU, NumbaPro can either do the work automatically, doing its best to optimize the code for the GPU architecture. Alternatively, CUDA-based API is provided for writing CUDA code specifically in Python for ultimate control of the hardware (with thread and block identities).

Here’s a list of highlighted features:

Portable data-parallel programming through ufuncs and gufuncs for single core CPU, multicore CPU and GPU Bindings to CUDA libraries: cuRAND, cuBLAS, cuFFT Python CUDA programming for maximum control of hardware resources

References:

• http://docs.continuum.io/numbapro/