High-performance SIMD library for Go with AVX/NEON support
-
Updated
Dec 10, 2025 - Go
High-performance SIMD library for Go with AVX/NEON support
Calculate the sum of double-precision floating-point strided array elements using a second-order iterative Kahan–Babuška algorithm.
Split a double-precision floating-point number into a normalized fraction and an integer power of two.
Calculate the maximum value of a double-precision floating-point strided array.
Calculate the sum of double-precision floating-point strided array elements, ignoring NaN values and using a second-order iterative Kahan–Babuška algorithm.
Copy all or part of a matrix A to another matrix B.
Calculate the arithmetic mean of a double-precision floating-point strided array, ignoring NaN values and using a two-pass error correction algorithm.
Calculate the arithmetic mean of a double-precision floating-point strided array, ignoring NaN values.
Add a description, image, and links to the float64 topic page so that developers can more easily learn about it.
To associate your repository with the float64 topic, visit your repo's landing page and select "manage topics."