You can get on the order of 10-30x speedup over NumPy by reducing the allocation... | Hacker News

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		eslaught on May 12, 2023 \| parent \| context \| favorite \| on: Faster CPython at PyCon, part one You can get on the order of 10-30x speedup over NumPy by reducing the allocation of temporaries and fusing across operations. See: Weld: A Common Runtime for High Performance Data Analytics https://dspace.mit.edu/bitstream/handle/1721.1/137425/cidr_w...

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