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sizes. Common operations on very small arrays are to 3-7 times faster than with NumPy (with NumPy 1.6 it used to be up to 35 times), and 3 times less memory is used to store them. Tinyarrays are useful if you need many small arrays of numbers, and cannot combine them into a few large ones. (The resulting code is still much slower than C, but it may now be fast enough.) WWW: https://gitlab.kwant-project.org/kwant/tinyarray
9 lines
491 B
Text
9 lines
491 B
Text
Tinyarrays are similar to NumPy arrays, but optimized for small
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sizes. Common operations on very small arrays are to 3-7 times
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faster than with NumPy (with NumPy 1.6 it used to be up to 35
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times), and 3 times less memory is used to store them. Tinyarrays
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are useful if you need many small arrays of numbers, and cannot
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combine them into a few large ones. (The resulting code is still
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much slower than C, but it may now be fast enough.)
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WWW: https://gitlab.kwant-project.org/kwant/tinyarray
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