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Diffstat (limited to 'numpy/doc/glossary.py')
| -rw-r--r-- | numpy/doc/glossary.py | 14 |
1 files changed, 8 insertions, 6 deletions
diff --git a/numpy/doc/glossary.py b/numpy/doc/glossary.py index 292f293b7..7d1c9a1d5 100644 --- a/numpy/doc/glossary.py +++ b/numpy/doc/glossary.py @@ -435,12 +435,14 @@ Glossary ``logical_or``. vectorization - Optimizing a looping block by specialized code. In a traditional send, - vectorization operates on data with fixed strides via specialized - hardware. Compilers know how to take advantage of well-constructed loops - and match the data to specialized hardware that can operate on a number - of operands in parallel. NumPy uses :ref:`vectorization - <whatis-vectorization>` to mean any optimization via specialized code. + Optimizing a looping block by specialized code. In a traditional sense, + vectorization performs the same operation on multiple elements with + fixed strides between them via specialized hardware. Compilers know how + to take advantage of well-constructed loops to implement such + optimizations. NumPy uses :ref:`vectorization <whatis-vectorization>` + to mean any optimization via specialized code performing the same + operations on multiple elements, typically achieving speedups by + avoiding some of the overhead in looking up and converting the elements. view An array that does not own its data, but refers to another array's |