numrs-core 0.1.19

A high-performance numerical computing library with multi-backend dispatch (SIMD, BLAS/MKL, WebGPU) and zero-cost abstractions
Documentation

numrs-core

There is very little structured metadata to build this page from currently. You should check the main library docs, readme, or Cargo.toml in case the author documented the features in them.

This version has 14 feature flags, 9 of them enabled by default.

default

blas-backend (default)

parallel (default)

webgl (default)

This feature flag does not enable additional features.

webgpu (default)

This feature flag does not enable additional features.

blas (default)

blis-src (default)

cblas (default)

intel-mkl-src (default)

rayon (default)

disabled-blas

This feature flag does not enable additional features.

native-gpu

pollster

wasm-simd

This feature flag does not enable additional features.

wgpu