The NumKong project implements portable mixed-precision math, linear-algebra,
& retrieval library with 2'000+ SIMD kernels for x86, Arm, RISC-V, LoongArch,
Power, & WebAssembly, leveraging rare algebraic transforms with both 1D & 2D
registers like AMX & SME, covering 15+ numeric types from 4-bit integers &
6-bit floats to 128-bit complex numbers, validated against 118-bit
extended-precision baselines with saturation, casting, & rounding edge-case
coverage, in a 5-100x smaller binary than other BLAS-like alternatives,
co-designed with Tensor abstractions in C++, Python, Rust, JavaScript, GoLang,
& Swift.