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Run any code in parallel Processes(> use all CPUs) or Threads(> speedup blocking operations). Best suited for map-reduce or e.g. parallel downloads/uploads. Install ======= sudo gem install parallel Usage ===== # 2 CPUs -> work in 2 processes (a,b + c) results = Parallel.map(['a','b','c']) do |one_letter| expensive_calculation(letter) end # 3 Processes -> finished after 1 run results = Parallel.map(['a','b','c'], :in_processes=>3){|one_letter| ... } # 3 Threads -> finished after 1 run results = Parallel.map(['a','b','c'], :in_threads=>3){|one_letter| ... } Same can be done with `each` Parallel.each(['a','b','c']){|one_letter| ... } or `each_with_index` or `map_with_index` ### Processes - Speedup through multiple CPUs - Speedup for blocking operations - Protects global data - Extra memory used ( very low on [REE](http://www.rubyenterpriseedition.com/faq.html) through `copy_on_write_friendly` ) - Child processes are killed when your main process is killed through Ctrl+c or kill -2 ### Threads - Speedup for blocking operations - Global data can be modified - No extra memory used Processes/Threads are workers, they grab the next piece of work when they finish TODO ==== - JRuby / Windows support <-> possible ? Authors ======= ###Contributors - [Przemyslaw Wroblewski](http://github.com/lowang) - [TJ Holowaychuk](http://vision-media.ca/) - [Masatomo Nakano](http://twitter.com/masatomo2) [Michael Grosser](http://pragmatig.wordpress.com) grosser.michael@gmail.com Hereby placed under public domain, do what you want, just do not hold me accountable...
Version data entries
1 entries across 1 versions & 1 rubygems
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parallel-0.4.3 | Readme.md |