Downloaded 11 times
![OpenMP example
Example
#pragma omp parallel for
for (i = 0; i < arraySize; i++){
....
y[i] = sin( exp( cos( exp( sin(x[i]) ) ) ) );
....
}](https://image.slidesharecdn.com/metaprogrammingii-110207032148-phpapp02/85/Metaprogramming-in-Ruby-19-320.jpg)
![Can we do this in Ruby?
Example
for j in 1..30
puts "Hello from iteration " + j.to_s
for i in 0..700000
c += a[i] * b[i]
end
puts "I have just finished!"
end](https://image.slidesharecdn.com/metaprogrammingii-110207032148-phpapp02/85/Metaprogramming-in-Ruby-20-320.jpg)
![In Cuby we trust
Example
for j in 1..30
puts "Hello from iteration " + j.to_s
parallel {
for i in 0..700000
c += a[i] * b[i]
end
puts "I have just finished!"
}
end](https://image.slidesharecdn.com/metaprogrammingii-110207032148-phpapp02/85/Metaprogramming-in-Ruby-21-320.jpg)
![OpenMP example
Example
#pragma omp parallel for
for (i = 0; i < arraySize; i++){
....
y[i] = sin( exp( cos( exp( sin(x[i]) ) ) ) );
....
}](https://image.slidesharecdn.com/metaprogrammingii-110207032148-phpapp02/75/Metaprogramming-in-Ruby-19-2048.jpg)
![Can we do this in Ruby?
Example
for j in 1..30
puts "Hello from iteration " + j.to_s
for i in 0..700000
c += a[i] * b[i]
end
puts "I have just finished!"
end](https://image.slidesharecdn.com/metaprogrammingii-110207032148-phpapp02/75/Metaprogramming-in-Ruby-20-2048.jpg)
![In Cuby we trust
Example
for j in 1..30
puts "Hello from iteration " + j.to_s
parallel {
for i in 0..700000
c += a[i] * b[i]
end
puts "I have just finished!"
}
end](https://image.slidesharecdn.com/metaprogrammingii-110207032148-phpapp02/75/Metaprogramming-in-Ruby-21-2048.jpg)
Uploaded byJohn Vlachoyiannis
Metaprogramming in Ruby
This document discusses metaprogramming in Ruby. It begins by mentioning Lisp and how Ruby can think like Lisp through metaprogramming. It then discusses creating languages from scratch or using tools like Bison/yacc/lex. It recommends learning from languages like Lisp, Scheme, Forth and Smalltalk that pioneered metaprogramming techniques. The document discusses how metaprogramming allows code to be treated as data through techniques like self-modifying code and dynamic adding/removing of classes and functions. It provides examples of metaprogramming in areas like web frameworks and AI. It discusses tools for metaprogramming in Ruby like operator overriding, open classes, method_missing, blocks and eval. Finally, it demonstrates
Metaprogramming in Ruby
- 1. Metaprogramming in Ruby ( II ) Thinking in Lisp in Ruby in Lisp in … http://jon.is.emotionull.com
- 2. Creating a language Parsers from scratch Bison/yacc/lex Metaprogramming FTW!
- 3. Bow to the masters Lisp Scheme Forth Smalltalk
- 4. Thinking again the problem Code as data Self modifying code Dynamic adding/removing classes/functions Describe the problem, don't solve it!
- 5. Metaprogramming in the wild Web frameworks (Ruby On Rails) A.I DSL Configuration files ...
- 6. But, hooooow??? Function pointers (C,C++) Open classes (Ruby) Metaclasses (Python) Lists (Lisp/Scheme/Clojure)
- 7. Tools of the trade for Ruby Operators Overriding OpenClasses method_missing Blocks and eval Lambda
- 8. Speed penalty – Not always Premature optimization Fast and smart VM (JVM) Bottleneck is somewhere else (DB) You are not smart enough. Deal with it!
- 9. Cuby Implemented in ~ 10 minutes Looks like C Feels like C FULLY extensible Trivial to add new libraries You can use available Ruby libs VM ~ 25 lines!
- 10. C in Ruby Example // this is a test (example.cb) include ”stdio” main { printf ”Hello Mr. %s !”, ”Jon” }
- 11. C in Ruby : Functions Example include ”stdio” plea_for_merci_to name { shout ”Please don't kill me” + name + ”!” } main { plea_for_merci_to ”Jon” }
- 12. Real usage Prediction Modelling
- 13. Prediction Modelling Lots of data (sometimes more than 60GB) Long live C, Fortran, Lisp Do you know OpenMP? If not, find another job Speed, speed, speed
- 14. Predictions in Ruby? RubyVM is not very robust (think BIG > 10GB) Ruby is slow Ruby threading is difficult and bad Ruby does not SCALE!
- 15. You are right! Thanks for watching!
- 16. But ruby is slooooow 1.9 is waaay better than 1.8 Jruby is the King of the Hill The bottleneck is not really here (hint: DB)
- 17. But ruby cannot scale! Threading in RubyVM is bad Fibers are way better I love Jruby
- 18. Learn from the best: OpenMP Standard for parallel processing Easy to use Very mature library
- 19. OpenMP example Example #pragma omp parallel for for (i = 0; i < arraySize; i++){ .... y[i] = sin( exp( cos( exp( sin(x[i]) ) ) ) ); .... }
- 20. Can we do this in Ruby? Example for j in 1..30 puts "Hello from iteration " + j.to_s for i in 0..700000 c += a[i] * b[i] end puts "I have just finished!" end
- 21. In Cuby we trust Example for j in 1..30 puts "Hello from iteration " + j.to_s parallel { for i in 0..700000 c += a[i] * b[i] end puts "I have just finished!" } end
- 22.