May 2019
Intermediate to advanced
452 pages
12h 16m
English
Content preview from Hands-On GPU Computing with Python
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Numba
Numba is also an open source just-in-time (JIT) compiler for Python that can efficiently work on code that uses NumPy arrays, functions, and loops. It translates a subset of Python and NumPy code into fast machine code. It uses a collection of decorators that can be applied to your Python functions for Numba compilation. When a call is made to a Numba decorated function, it is compiled to machine code JIT for execution and your code can subsequently run at native machine code speed (CPU or GPU).
A JIT compiler runs after a program starts and compiles bytecode (compiled from source code into low-level code). In this manner, JIT has access to dynamic runtime information, thus enabling better tuning of code. In the case of a traditional ...
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