Up to 200x Faster Dot Products & Similarity Metrics — for Python, Rust, C, JS, and Swift, supporting f64, f32, f16 real & complex, i8, and bit vectors using SIMD for both AVX2, AVX-512, NEON, SVE, & SVE2 📐
simsimd_dot_bf16_neon has been updated to use the neon dot product intrinsic vbfdotq_f32 for a 25% speedup. I have only tested this on AWS t4g and c7g instances.
Also fixed a couple typos. simsimd_dot_i8_serial was used instead of _neon, the bf16_neon declarations were missing, and a trailing // was seen on line 526.
PR for https://github.com/ashvardanian/SimSIMD/issues/167
simsimd_dot_bf16_neon
has been updated to use the neon dot product intrinsicvbfdotq_f32
for a 25% speedup. I have only tested this on AWS t4g and c7g instances.Also fixed a couple typos. simsimd_dot_i8_serial was used instead of _neon, the bf16_neon declarations were missing, and a trailing // was seen on line 526.