matrixmultiply 0.2.4

General matrix multiplication for f32 and f64 matrices. Operates on matrices with general layout (they can use arbitrary row and column stride). Detects and uses AVX or SSE2 on x86 platforms transparently for higher performance. Uses a microkernel strategy, so that the implementation is easy to parallelize and optimize.
Documentation
General matrix multiplication for f32, f64 matrices. Operates on matrices with general layout (they can use arbitrary row and column stride). This crate uses the same macro/microkernel approach to matrix multiplication as the [BLIS][bl] project. We presently provide a few good microkernels, portable and for x86-64, and only one operation: the general matrix-matrix multiplication (“gemm”). [bl]: https://github.com/flame/blis ## Matrix Representation **matrixmultiply** supports matrices with general stride, so a matrix is passed using a pointer and four integers: - `a: *const f32`, pointer to the first element in the matrix - `m: usize`, number of rows - `k: usize`, number of columns - `rsa: isize`, row stride - `csa: isize`, column stride In this example, A is a m by k matrix. `a` is a pointer to the element at index *0, 0*. The *row stride* is the pointer offset (in number of elements) to the element on the next row. It’s the distance from element *i, j* to *i + 1, j*. The *column stride* is the pointer offset (in number of elements) to the element in the next column. It’s the distance from element *i, j* to *i, j + 1*. For example for a contiguous matrix, row major strides are *rsa=k, csa=1* and column major strides are *rsa=1, csa=m*. Strides can be negative or even zero, but for a mutable matrix elements may not alias each other. ## Portability and Performance - The default kernels are written in portable Rust and available on all targets. These may depend on autovectorization to perform well. - *x86* and *x86-64* features can be detected at runtime by default or compile time (if enabled), and the crate following kernel variants are implemented: - `fma` - `avx` - `sse2` ## Features This crate can be used without the standard library (`#![no_std]`) by disabling the default `std` feature. To do so, use this in your `Cargo.toml`: ```toml matrixmultiply = { version = "0.2", default-features = false } ``` Runtime CPU feature detection is available only when `std` is enabled. Without the `std` feature, the crate uses special CPU features only if they are enabled at compile time. (To enable CPU features at compile time, pass the relevant [`target-cpu`](https://doc.rust-lang.org/rustc/codegen-options/index.html#target-cpu) or [`target-feature`](https://doc.rust-lang.org/rustc/codegen-options/index.html#target-feature) option to `rustc`.) ## Other Notes The functions in this crate are thread safe, as long as the destination matrix is distinct.