v4.3.1

4.3.1 (2024-04-10)

Make

• Lighter Rust package (c3bc06c)

v4.3.0

4.3.0 (2024-04-08)

Add

• toBinary for JavaScript (1f1fd3a)

Improve

• Procedural Rust benchmarks (e01ec6c)
• Unrolled Rust benchmarks (#108) (508e7a0), closes #108

v4.2.2

4.2.2 (2024-03-31)

Fix

• f16 casting on Arm (dda096b)
• Dot-products compilation on SVE (f5fe36d)

Make

• Test with Bun and Deno (3227b87)

v4.2.1

4.2.1 (2024-03-26)

Fix

• Function attributes (eefb54b)

Make

• Avoid native f16 by default (bd02af2)
• Shorter Rust compilation (db9a9d2)

v4.2.0

4.2.0 (2024-03-25)

Add

• Compile-time dispatch (b72bf56)

Fix

• Rust benchmarks (5279de7)
• Setting signaling NaN (4e6e686)

Make

• Build with SIMD in Rust (391545e)
• Sync VERSION for NPM (7ea0ea6)

v4.1.1

4.1.1 (2024-03-24)

Fix

• Detecting Ice Lake (098cd90)

Make

• Unused function attributes (c85e098)

SIMD on Windows 🤗 🪟

This release refactors compiler attributes and intrinsics usage to make it compatible with MSVC. Most noticeably, function defined like this:

__attribute__((target("+simd")))
inline static void simsimd_cos_f32_neon(simsimd_f32_t const* a, simsimd_f32_t const* b, simsimd_size_t n, simsimd_distance_t* result) { }

Now look like this:

#pragma GCC push_options
#pragma GCC target("+simd")
#pragma clang attribute push(__attribute__((target("+simd"))), apply_to = function)

inline static void simsimd_cos_f32_neon(simsimd_f32_t const* a, simsimd_f32_t const* b, simsimd_size_t n, simsimd_distance_t* result) { }

#pragma clang attribute pop
#pragma GCC pop_options

Thanks to that SimSIMD on Windows is gonna be just as fast as on Linux and MacOS 🤗 🪟

---

4.1.0 vs 4.0.0 Change Log (2024-03-23)

Add

• Bench against TF, PyTorch, JAX (5e64152)
• Complex dot-products for Rust (936fe73)
• Double-precision interfaces for JS (07f2aca)

Docs

• List all APIs (0a987a3)

Fix

• Avoid vld2_f16 on MSVC (ce9800e)
• Complex dispatch in Rust & C (d349bcd)
• Missing _mm_rsqrt14_ps in MSVC (21e30fe)
• Missing float16_t in MSVC Arm64 builds (94442c3)

Improve

• Pragmas for MSVC compatibility (9d8a8d0), closes #74
• Silence TF warnings (0cffc9c)
• Type-casting (353fe43)

Make

• 120 line width (35c1de3)
• Enable SIMD in MSVC builds (27f24ef)
• Missing Node & TS dependencies (9983167)

v4.0.0

This is a packed redesign! Let's start with what's cool about it and later cover the mechanics.

1. Extends dot products covering the entire matrix:
   • all IEEE 754 floating-point formats (f16, f32, f64)
   • real, complex, complex-conjugate dot-products
   • Arm NEON & SVE, x86 Haswell, Skylake, Ice Lake, Sapphire Rapids
2. Add support for complex32 Python type ... that:
   • NumPy doesn't support,
   • but CuPy wants.

SimSIMD is now the fastest and most popular library for computing half-precision products/similarities for Fourier Series and other complex data 🥳

---

What breaks:

• Return types are now 64-bit floats, up from 32.
• Inner products are now defined as AB, instead of 1 - AB for broader applicability.

v3.9.0

3.9.0 (2024-03-04)

Add

• Complex numbers support (0a0665a)
• Hamming & Jaccard for pre-AVX512 CPUs (4f1eba1), closes #69
• Rust binary distances (960af05), closes #84

Fix

• datatype variable repeated (8558c4a)
• VNNI casting on AVX-512 (c4398d1), closes #91

Improve

• Python type inference (227de70)

Make

• Bump ip from 2.0.0 to 2.0.1 (#92) (559a16d), closes #92

v3.8.1

3.8.1 (2024-02-22)

Docs

• Reorg contribution guide (e8be593)

Fix

• Detect tests running in QEMU (80b9fec)
• Numerical issues (cdd7516)
• NumPy and SciPy issues with PyPy (9bd4ada)

Improve

• Accurate tail math on Aarch64 (5b39a8e)
• Accurate tail math with AVX2 (f61d5be)
• Drop NumPy dependency (819a406)
• Rust bench performance and style (#85) (da62146), closes #85
• Test and ship w/out NumPy and SciPy (5b800d3)

Make

• cibuildwheel for manylinux2014 (#87) (43cdc9a), closes #87 #86 #72
• Clean-up CI (af895ac)
• Extend PyPi builds to all archs (5b3e3c9)
• Faster CI (568f806)
• Patching toolchains (edb064d)
• Upgrade NodeJS (3e3ed04)
• Wheels w/out f16 requirements (5e58966)