https://github.com/abinoam/matrix_dot_bench
Compares different Matrix dot product implementations in Ruby
https://github.com/abinoam/matrix_dot_bench
benchmark dot-product matrix-multiplication nmatrix restricted-boltzmann-machine ruby sciruby
Last synced: 2 months ago
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Compares different Matrix dot product implementations in Ruby
- Host: GitHub
- URL: https://github.com/abinoam/matrix_dot_bench
- Owner: abinoam
- License: mit
- Created: 2017-04-28T06:44:58.000Z (about 8 years ago)
- Default Branch: master
- Last Pushed: 2017-05-08T17:07:49.000Z (about 8 years ago)
- Last Synced: 2025-01-24T10:47:37.767Z (4 months ago)
- Topics: benchmark, dot-product, matrix-multiplication, nmatrix, restricted-boltzmann-machine, ruby, sciruby
- Language: Ruby
- Size: 10.7 KB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE.txt
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README
# MatrixDotBench
A simple benchmark of some strategies to do Matrix multiplication (dot product) in Ruby.
See post at: http://abinoam.tl1n.com/400x-faster-matrix-multiplication-for-ruby/
Basically it shows that using `NMatrix#dot` with an NMatrix object with `dtype: :float64` is more than 400x faster than using `Matrix#*`.
## Installation
$ git clone [email protected]:abinoam/matrix_dot_bench.git
$ cd matrix_dot_bench
$ bundle install
## Usage
$ exe/matrix_dot_bench
## Development
After checking out the repo, run `bin/setup` to install dependencies. Then, run `rake spec` to run the tests. You can also run `bin/console` for an interactive prompt that will allow you to experiment.
To install this gem onto your local machine, run `bundle exec rake install`. To release a new version, update the version number in `version.rb`, and then run `bundle exec rake release`, which will create a git tag for the version, push git commits and tags, and push the `.gem` file to [rubygems.org](https://rubygems.org).
## Contributing
Bug reports and pull requests are welcome on GitHub at https://github.com/abinoam/matrix_dot_bench.
## License
The gem is available as open source under the terms of the [MIT License](http://opensource.org/licenses/MIT).