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In this presentation, I will talk about incremental GC algorithm for Ruby interpreter. Ruby 2.1 has Generational GC algorithm, which improves GC performance dramatically. However, long application pause time problem on major GC is not solved. To overcome this problem, we Matz team at Heroku, Inc. implemented a well-known incremental GC algorithm into MRI/CRuby interpreter to reduce application pause time without any compatibility issues, with our "write-barrier-unprotected" objects technique. In this talk, I will explain the algorihtnm, implementation and evaluation results about new GC. Help us caption & translate this video! http://amara.org/v/FqJd/
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In this presentation at RubyConf 2014, Koichi Sasada from Heroku discusses the implementation of incremental garbage collection (GC) for the Ruby interpreter, specifically highlighting the challenges of long application pause times associated with major GC. Key points discussed include: - Rubies 2.1 introduced generational garbage collection which improved throughput but did not fully address the problem of long pause times during major GC. - Incremental GC is a well-known technique designed to significantly reduce pause times. - In Ruby 2.2, the combination of generational GC and incremental GC aims to provide high throughput while minimizing pause durations. - Sasada illustrates the impact of these improvements using performance data that shows incremental GC dramatically reduces major GC pause times when compared to traditional methods. - Implementation details of incremental GC are discussed alongside technical challenges, such as the need for write-barrier protections to segregate objects. - The classification of objects into write barrier protected and unprotected categories allows Ruby to manage memory efficiently without causing compatibility issues with C extensions. - The presentation also addresses the evolution of Ruby’s GC technologies from simple marking techniques to more complex generational models, highlighting improvements in Ruby 2.0 and 2.1. - Sasada advocates for the use of keyword parameters and discusses changes in Ruby 2.2 that enhance performance. In conclusion, Sasada emphasizes that while incremental GC reduces pause times, it does not guarantee performance improvements for all applications. Users must evaluate their specific application needs against the behavior of garbage collection to optimize performance effectively.
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