Running Rack and Rails Faster with TruffleRuby
Video at https://youtu.be/0ykPiPAKZL8?t=16104 Code at https://github.com/eregon/rsb/tree/bench Presentation at RubyKaigi 2020 https://rubykaigi.org/2020-takeout/speakers#eregontp Optimizing Rack and Rails applications with a just-in-time (JIT) compiler is a challenge. For example, MJIT does not speed up Rails currently. TruffleRuby tackles this challenge. We have been running the Rails Simpler Ben
Parallel and Thread-Safe Ruby at High-Speed with TruffleRuby
These are the slides of my keynote at RubyKaigi 2018: http://rubykaigi.org/2018/presentations/eregontp.html#jun02 Array and Hash are used in every Ruby program. Yet, current implementations either prevent the use of them in parallel (the global interpreter lock in MRI) or lack thread-safety guarantees (JRuby and Rubinius raise an exception on concurrent Array append). Concurrent::Array from concur
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