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NumPy 2.0 Brings Faster Performance Thanks To Intel's x86-simd-sort & Google's Highway
NumPy 2.0 was released on Sunday that's been in the making for the past year and their first major release since 2006
On Phoronix I've previously covered the massive performance potential of x86-simd-sort with much faster sorting thanks to leveraging AVX-512 and other modern ISA features. NumPy 2.0 also brings opt_func_info as a new tracing and introspection API for probing hardware-specific kernels available and dispatching to them. NumPy 2.0 additionally brings a new "StringDType" variable-length string dtype, many string improvements, support for float32 and longdouble in NumPy FFT functions, and other C and Python API additions.
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