Upgrade to Pro — share decks privately, control downloads, hide ads and more …

Ruby Lugdunum 2012: Message in a Bottle

Avatar for Konstantin Haase Konstantin Haase
June 23, 2012
Technology
2
590

Ruby Lugdunum 2012: Message in a Bottle

Avatar for Konstantin Haase

Konstantin Haase

June 23, 2012
Tweet

More Decks by Konstantin Haase

See All by Konstantin Haase
RubyConf Philippines 2017: Magenta is a Lie
Avatar for Konstantin Haase rkh
0
190
How We Replaced Salary Negotiations with a Sinatra App
Avatar for Konstantin Haase rkh
17
4.1k
HTTP (RubyMonsters Edition)
Avatar for Konstantin Haase rkh
5
1.1k
GCRC 2015: Abstract Thoughts on Abstract Things
Avatar for Konstantin Haase rkh
1
350
Frozen Rails: Magenta - The Art Of Abstraction
Avatar for Konstantin Haase rkh
3
290
RedDotRubyConf 2014: Magenta is a Lie - and other tales of abstraction
Avatar for Konstantin Haase rkh
0
900
Ancient City Ruby: Hack me, if you can!
Avatar for Konstantin Haase rkh
2
410
Boston I/O: Continuous Integration
Avatar for Konstantin Haase rkh
3
300
Steel City Ruby: Architecting Chaos
Avatar for Konstantin Haase rkh
4
910

Other Decks in Technology

See All in Technology
encoding/json v2を予習しよう！
Avatar for yuyu_hf yuyu_hf
PRO
1
230
分解し、導き、託す ログラスにおける“技術でリードする” 実践の記録
Avatar for Hiroto Ryushima hryushm
1
650
インラインRBSコメントに鯛pe checkersもニッコリ
Avatar for SansanTech sansantech
PRO
2
240
撤退危機からのピボット : 4年目エンジニアがリードする TypeScript で挑む事業復活 / crisis-to-pivot-4th-year-engineer-ts-relaunch
Avatar for CARTA Engineering carta_engineering
2
340
VPC Reachability AnalyzerAnalyzer～実務での使いどころ
Avatar for モブエンジニア masakiokuda
1
190
エンジニアのための 法規制への取り組み方 #healthtechmeetup
Avatar for Hiromi Hishida 77web
1
410
株式会社Awarefy(アウェアファイ)会社説明資料 / Awarefy-Company-Deck
Avatar for Awarefy awarefy
3
17k
チェックツールを導入したけど使ってもらえなかった話 #GAADjp
Avatar for LINEヤフーTech (LY Corporation Tech) lycorptech_jp
PRO
1
160
AWS パートナー企業のテクニカルサポートが日々思っていること 〜そして、4/15 の現場から〜
Avatar for kazzpapa3 kazzpapa3
1
250
初参加のハノーバーメッセで感じた世界最大級イベントの熱気とAI活用の未来
Avatar for 濱田孝治 hamadakoji
0
140
golang-migrate VS Atlas !? 技術選定のポイントと学び ~DBマイグレーションツール選定の実例を通して~ / golang-migrate vs Atlas ! What is the point of technology selection and what you can learn from the examples of DB migration tool selection?
Avatar for NTT Communications nttcom
0
120
ITベンダーから見る内製化支援の本質/in-house-dev
Avatar for Serverless Operations slsops
1
190

Featured

See All Featured
Building an army of robots
Avatar for Kyle Neath kneath
305
45k
Performance Is Good for Brains [We Love Speed 2024]
Avatar for Tammy Everts tammyeverts
10
810
Learning to Love Humans: Emotional Interface Design
Avatar for Aarron Walter aarron
273
40k
Dealing with People You Can't Stand - Big Design 2015
Avatar for Cassini Nazir cassininazir
367
26k
実際に使うSQLの書き方 徹底解説 / pgcon21j-tutorial
Avatar for soudai sone soudai
180
53k
Optimizing for Happiness
Avatar for Tom Preston-Werner mojombo
378
70k
KATA
Avatar for Megan Lloyd mclloyd
29
14k
Fashionably flexible responsive web design (full day workshop)
Avatar for Andy Clarke malarkey
407
66k
What’s in a name? Adding method to the madness
Avatar for Product Marketing Alliance productmarketing
PRO
22
3.5k
GitHub's CSS Performance
Avatar for Jon Rohan jonrohan
1031
460k
VelocityConf: Rendering Performance Case Studies
Avatar for Addy Osmani addyosmani
329
24k
Building a Modern Day 
E-commerce SEO Strategy
Avatar for Aleyda Solis aleyda
40
7.3k

Transcript

  1. MESSAGE IN A BOTTLE Konstantin Haase Ruby Lugdunum June 23,

    2012

  2. @konstantinhaase (I’m sorry about that) rkh on github

  3. Sinatra Rack, Tilt, Rubinius, ...

  4. None
  5. None
  6. None
  7. None
  8. None
  9. None

  10. Ruby 1.8 is slow because it's interpreted.

  11. Surprise! Ruby 1.9 is interpreted, too.

  12. THANKS

  13. Ruby

  14. Internals

  15. Performance

  16. None

  17. RubyMotion

  18. WHAT WE’LL LOOK INTO MRI: method dispatch and execution Rubinius:

    inline caches and JIT JRuby: invokedynamic
  19. None

  20. THEY JUST LOVE BYTECODE

  21. None

  22. MRI

  23. Rubinius

  24. JRuby (JVM 1.6)

  25. None

  26. Source Code Parser Parse Tree Interpreter Bytecode Compiler Bytecode Interpreter

    JIT Machine Code CPU VM

  27. THE PLAN Find Method Execute Method

  28. Performance

  29. HOW TO SPEED UP? Find Method Faster Execute Method Faster

  30. FIND FASTER Inline Cache (aka Call/ Send Site Cache) Lookup

    Cache Inlining

  31. EXECUTE FASTER Reduce operations Just-in-time compilation Speed up search

  32. None

  33. rb_method_entry rb_method_entry_without_cache search_method

  34. None
  35. None
  36. None
  37. None
  38. None
  39. None
  40. None
  41. None
  42. None
  43. None
  44. None
  45. None
  46. None

  47. SPECIALIZED METHODS cached bytecode code with breakpoints specialized for arguments

    JITed code
  48. None
  49. None
  50. None
  51. None
  52. None
  53. None
  54. None

  55. Process invokedynamic JVM method bootstrap guard fallback

  56. None

  57. THANKS