ryeppp

Ryeppp

This gem provides bindings to the Yeppp! library. According to the documentation, "Yeppp! is a high-performance SIMD-optimized mathematical library for x86, ARM, and MIPS processors on Windows, Android, Mac OS X, and GNU/Linux systems."

Installation

Add this line to your application's Gemfile:

gem 'ryeppp'

And then execute:

$ bundle

Or install it yourself as:

$ gem install ryeppp

You'll also need to download the Yeppp! library and unpack it in $HOME.

Usage

The Ryeppp gem provides a single class Ryeppp with the following methods:

• add_v64fv64f_v64f - pairwise add 2 vectors of floats

• add_v64sv64s_v64s - pairwise add 2 vectors of integers

• subtract_v64fv64f_v64f - pairwise subtract 2 vectors of floats

• subtract_v64sv64s_v64s - pairwise subtract 2 vectors of integers

• multiply_v64fs64f_v64f - multiply a vector of floats by a float

• multiply_v64sv64s_v64s - multiply a vector of integers by an integer

• multiply_v64fv64f_v64f - pairwise multiply 2 vectors of floats

• multiply_v64ss64s_v64s - pairwise multiply 2 vectors of integers

• dotproduct_v64fv64f_s64f - compute the dot product of 2 vectors of floats

• min_v64f_s64f - find the minimum in a vector of floats

• min_v64s_s64s - find the minimum in a vector of integers

• max_v64f_s64f - find the maximum in a vector of floats

• max_v64s_s64s - find the maximum in a vector of integers

• min_v64fv64f_v64f - find the pairwise minimum in 2 vectors of floats

• max_v64fv64f_v64f - find the pairwise maximum in 2 vectors of floats

• min_v64fs64f_v64f - find the pairwise minimum of a vector of floats and a constant

• max_v64fs64f_v64f - find the pairwise maximum of a vector of floats and a constant

• negate_v64f_s64f - negate a vector of floats

• negate_v64s_s64s - negate a vector of integers

• sum_v64f_s64f - compute the sum of a vector of floats

• sumabs_v64f_s64f - compute the sum of the absolute values of a vector of floats

• sumsquares_v64f_s64f - compute the sum of the squares of the values of a vector of floats

• log_v64f_v64f - compute the natural logarithm of the values of a vector of floats

• exp_v64f_v64f - compute the base-e exponent of the values of a vector of floats

• sin_v64f_v64f - compute the sine of the values of a vector of floats

• cos_v64f_v64f - compute the cosine of the values of a vector of floats

• tan_v64f_v64f - compute the tangent of the values of a vector of floats

• evaluatepolynomial_v64fv64f_v64f - evaluate the polynomial with the given float coefficients in standard form at the given x-values

Benchmarks

Since Yeppp! depends on your processor, using the library may or may not provide performance improvements, so it's important to benchmark your code on your own processor. A few benchmarks are provided, and the examples also provide performance comparisons.

To run the benchmarks, simply run

$ ruby lib/ryeppp/bench.rb

TODO

Add more benchmarks.

Contributing

• Fork it
• Create your feature branch (git checkout -b my-new-feature)
• Commit your changes (git commit -am 'Add some feature')
• Push to the branch (git push origin my-new-feature)
• Create new Pull Request