Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Aloha Ruby Conf 2012: Message in a Bottle
Search
Konstantin Haase
October 10, 2012
2.1k
5
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
Aloha Ruby Conf 2012: Message in a Bottle
Konstantin Haase
October 10, 2012
More Decks by Konstantin Haase
See All by Konstantin Haase
RubyConf Philippines 2017: Magenta is a Lie
rkh
0
240
How We Replaced Salary Negotiations with a Sinatra App
rkh
17
4.3k
HTTP (RubyMonsters Edition)
rkh
5
1.2k
GCRC 2015: Abstract Thoughts on Abstract Things
rkh
1
400
Frozen Rails: Magenta - The Art Of Abstraction
rkh
3
350
RedDotRubyConf 2014: Magenta is a Lie - and other tales of abstraction
rkh
0
990
Ancient City Ruby: Hack me, if you can!
rkh
2
470
Boston I/O: Continuous Integration
rkh
3
340
Steel City Ruby: Architecting Chaos
rkh
4
990
Featured
See All Featured
Why Your Marketing Sucks and What You Can Do About It - Sophie Logan
marketingsoph
0
350
End of SEO as We Know It (SMX Advanced Version)
ipullrank
3
4.3k
RailsConf & Balkan Ruby 2019: The Past, Present, and Future of Rails at GitHub
eileencodes
141
35k
Getting science done with accelerated Python computing platforms
jacobtomlinson
2
380
A Modern Web Designer's Workflow
chriscoyier
698
190k
30 Presentation Tips
portentint
PRO
1
360
Navigating Weather and Climate Data
rabernat
0
440
Google's AI Overviews - The New Search
badams
0
1.1k
Producing Creativity
orderedlist
PRO
348
40k
We Are The Robots
honzajavorek
0
290
Six Lessons from altMBA
skipperchong
29
4.4k
Ethics towards AI in product and experience design
skipperchong
2
340
Transcript
MESSAGE IN A BOTTLE Konstantin Haase Aloha Ruby Conference October
8, 2012
Ruby 1.8 is slow because it's interpreted.
Surprise! Ruby 1.9 is interpreted, too.
THANKS
@konstantinhaase (I’m sorry about that) rkh on github
None
None
None
None
None
None
WWAPD
Ruby
Internals
Performance
None
RubyMotion rupypy
WHAT WE’LL LOOK INTO MRI: method dispatch and execution Rubinius:
inline caches and JIT JRuby: invokedynamic
None
THEY JUST LOVE BYTECODE
None
MRI
Rubinius
JRuby (JVM 1.6)
None
Source Code Parser Parse Tree Interpreter Bytecode Compiler Bytecode Interpreter
JIT Machine Code CPU VM
THE PLAN Find Method Execute Method
Performance
HOW TO SPEED UP? Find Method Faster Execute Method Faster
FIND FASTER Inline Cache (aka Call/ Send Site Cache) Lookup
Cache Inlining
EXECUTE FASTER Reduce operations Just-in-time compilation Speed up search
None
rb_method_entry rb_method_entry_without_cache search_method
None
None
None
None
None
None
Module MethodTable Bucket CompiledCode
None
None
None
None
InlineCache MachineCode CompiledCode initial_backend execute_backend cache_[cTrackedICHits] execute empty_cache ...
None
SPECIALIZED METHODS cached bytecode code with breakpoints specialized for arguments
JITed code
None
None
None
None
None
None
None
Process invokedynamic JVM method bootstrap guard fallback
None
Reducing CPU instructions Reducing jumps Not breaking late binding
caching inlining JITing guards
FAST LOOKUP FAST EXECUTION
THANKS