General matrix multiplication for f32, f64 matrices.

Allows arbitrary row, column strided matrices.

Uses the same microkernel algorithm as BLIS, but in a much simpler and less featureful implementation. See their multithreading page for a very good diagram over how the algorithm partitions the matrix (Note: this crate does not implement multithreading).

.. _BLIS: https://github.com/flame/blis

.. _multithreading: https://github.com/flame/blis/wiki/Multithreading

Please read the API documentation here__

__ https://docs.rs/matrixmultiply/

Blog posts about this crate:

• A Gemmed Rabbit Hole__

__ https://bluss.github.io/rust/2016/03/28/a-gemmed-rabbit-hole/

|buildstatus| |crates|_

.. |buildstatus| image:: https://travis-ci.org/bluss/matrixmultiply.svg?branch=master .. _buildstatus: https://travis-ci.org/bluss/matrixmultiply

.. |crates| image:: https://meritbadge.herokuapp.com/matrixmultiply .. _crates: https://crates.io/crates/matrixmultiply

NOTE: Compile this crate using RUSTFLAGS="-C target-cpu=native" so that the compiler can produce the best output.

Recent Changes

• 0.1.13

  • Pick 8x8 sgemm (f32) kernel when AVX target feature is enabled (with Rust 1.14 or later, no effect otherwise).
  • Use rawpointer, a µcrate with raw pointer methods taken from this project.

• 0.1.12

  • Internal cleanup with retained performance

• 0.1.11

  • Adjust sgemm (f32) kernel to optimize better on recent Rust.

• 0.1.10

  • Update doc links to docs.rs

• 0.1.9

  • Workaround optimization regression in rust nightly (1.12-ish) (#9)

• 0.1.8

  • Improved docs

• 0.1.7

  • Reduce overhead slightly for small matrix multiplication problems by using only one allocation call for both packing buffers.

• 0.1.6

  • Disable manual loop unrolling in debug mode (quicker debug builds)

• 0.1.5

  • Update sgemm to use a 4x8 microkernel (“still in simplistic rust”), which improves throughput by 10%.

• 0.1.4

  • Prepare support for aligned packed buffers
  • Update dgemm to use a 8x4 microkernel, still in simplistic rust, which improves throughput by 10-20% when using AVX.

• 0.1.3

  • Silence some debug prints

• 0.1.2

  • Major performance improvement for sgemm and dgemm (20-30% when using AVX). Since it all depends on what the optimizer does, I'd love to get issue reports that report good or bad performance.
  • Made the kernel masking generic, which is a cleaner design

• 0.1.1

  • Minor improvement in the kernel