ExMatrix is an Elixir library implementing a parallel matrix multiplication algorithm with other utilities for working with matrices.
The latest version is 0.0.1 and requires Elixir ~> 1.0.
Releases are published through hex.pm. Add as a dependency in your mix.exs file:
defp deps do
[ { :exmatrix, "~> 0.0.1" } ]
endMatrices are expected to be lists of lists of numbers, so for example, a simple 2x2 matrix might look like
iex> matrix = [[0, 0], [1,1]]
[[0, 0], [1,1]]To get an empty matrix you can use new_matrix to generate a zero-filled matrix
iex> ExMatrix.new_matrix(2,2)
[[0, 0], [0,0]]To test out the library, you can generate a random matrix using random_cells by passing the number of rows, columns and a maximum value to be contained in each cell.
iex> random_cells(2, 2, 10)
[[3, 4], [9, 0]]To multiply two matrices together you can call either multiply or pmultiply if you wish to do the multiplication in parallel.
iex> matrix_a = [[2,3], [3,5]]
[[2,3], [3,5]]
iex> matrix_b = [[1,2], [5,-1]]
[[1,2], [5,-1]]
iex> ExMatrix.multiply(matrix_a, matrix_b)
[[17, 1], [28, 1]]Addition of matrices happens as you might expect, with the add function
iex> matrix_a = [[0, 1, 2], [9, 8, 7]]
[[0, 1, 2], [9, 8, 7]]
iex> matrix_b = [[6, 5, 4], [3, 4, 5]]
[[6, 5, 4], [3, 4, 5]]
iex> ExMatrix.add(matrix_a, matrix_b)
[[6, 6, 6], [12, 12, 12]]If you provide two matrices where the number of rows or columns differs, then an ArgumentError is raised.
Subtraction is performed on two matrices (which must have the same dimentions) by using the subtract function
iex> matrix_a = [[0, 1, 2], [9, 8, 7]]
[[0, 1, 2], [9, 8, 7]]
iex> from_matrix = [[6, 5, 4], [3, 4, 5]]
[[6, 5, 4], [3, 4, 5]]
iex> ExMatrix.subtract(matrix_a, from_matrix)
[[-6, -4, -2], [6, 4, 2]]If you provide two matrices where the number of rows or columns differs, then an ArgumentError is raised.
The size function will return the number of rows and columns in your matrix.
iex> {rows, cols} = ExMatrix.size([[1,2,3], [4, 5, 6], [7, 8, 9]])
{3, 3}
iex> rows
3You can transpose a matrix so that the columns become rows (rotating the matrix by 90 degrees).
iex> ExMatrix.transpose([[1,2,3], [4, 5, 6], [7, 8, 9]])
[[1, 4, 7], [2, 5, 8], [3, 6, 9]]The initial aim of ExMatrix was to benchmark how well it performed when scaled across a differing number of CPU cores. Rather than measure the number-crunching ability of Elixir, the benchmarks included measure how well it performs when large matrices are multiplied on 1, 2, 4 and 8 cores.
You can run the benchmarks yourself using the mix bench command.
MIX_ENV=prod mix benchTo try the benchmark with differing numbers of cores, depends on your operating system.
- OSX - Use Instruments.app where in the Preferences pane you can change the number of active cores.
- Linux - This page on stackexchange describes how to turn off individual cores on linux.
- Windows - You can turn off individual cores using the steps described [here] (http://en.kioskea.net/faq/616-multicore-cpu-how-to-disable-a-core#procedure-when-using-windows-vista-7-and-xp)
The following results show the outcome of running the benchmarks on the author's machine (OSX, 8cores, 16Gb) using 1, 2, 4 and 8 cores. The matrix sizes used were 50x50, 100x100, 200x200, 400x400. There is a threshold (to be determined) below which the size of the computation on the matrix is apparently outweighed by the time taken to spawn and wait for the processes. The charts below show for the 50x50 and 100x100 matrices no better performance between 1 and 2 cores, and it maybe that the threshold is around this point.
The table below shows the times (in ms) as reported by benchfella.
| 50x50 | 100x100 | 200x200 | 400x400 | |
|---|---|---|---|---|
| 1 core | 101 | 817 | 7881 | 74524 |
| 2 cores | 105 | 795 | 6028 | 51493 |
| 4 cores | 54 | 404 | 3340 | 27339 |
| 8 cores | 31 | 240 | 1858 | 15179 |
Copyright 2015 A115 Ltd
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
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distributed under the License is distributed on an "AS IS" BASIS,
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