Scientific Computing in Ruby at Ruby World Conference 2016.

Talk on Scientific Computing in Ruby at Ruby World Conference, Matsue City, Shimane, Japan.

Transcript

1. namaste
2. Incredible India
6. India must master Western science and yet preserve its Culture and Heritage. What India Dreams
8. City of Pune. Population: 6 million. Oxford of the East.
9. Sameer Deshmukh github.com/v0dro @v0dro
11. Dr. Gopal Deshmukh Sameer Desmukh Dr. Hemchandra Deshmukh Dr. Satish Deshmukh
12. www.soundcloud.com/catkamikazee Sameer
15. Pune Ruby Users Group www.punerb.org @punerb @punerb @deccanrubyconf www.deccanrubyconf.org
16. Ruby Science Foundation www.sciruby.com @sciruby @sciruby
18. Scientific Computing In Ruby
19. iruby notebook
20. Browser based Ruby REPL for interactive computing.
21. Runs in your browser Input cell – accepts Ruby code Output cell – can render HTML/CSS/JS
23. nmatrix
24. n­dimensional array object. Interface Ruby with high speed C libraries.
25. require 'nmatrix' n = NMatrix.new( [2,2], [1,2,3,4], dtype: :float32, stype: :dense ) n[0,1] # => 2.0
26. Data Types :int8 :float32 :int16 :float64 :int32 :complex64 :int64 :complex128
27. Storage types Dense Dense matrix. List Sparse matrix type storing data as a linked list. Yale Sparse type storing data in the 'New Yale' format.
28. NMatrix C API
29. nmatrix nmatrix­ atlas nmatrix­ lapacke nmatrix­ fftw gsl
30. nyaplot
31. Interactive plotting tool for Rubyists.
32. interactive HTML and JavaScript plots that can be displayed in your browser.
34. Mapnya Nyaplot3D Bionya Map visualizations with inbuilt country charts. Three Dimensional interactive plots. Biology plots for visualizing relationships of genes.
35. daru (Data Analysis in RUby)
36. daru == (Hindi) ददार sake alcohol
37. library for analysis, cleaning, manipulation and visualization of data.
38. Read/write many data sources Ephemeral statistics functions Works well with 'wild' data Data indexing
39. Acts as glue between other SciRuby libraries.
40. Daru::Vector Heterogenous Array that can be indexed on any Ruby object. Name Label(0) Label(1) Label(2) ... Label(n-1)
41. Daru::DataFrame 2D spreadsheet like data structure indexed by rows or columns. Col0 Label(0) Label(1) Label(2) ... Label(n-1) Col1 Col2 Col(n-1) ....
42. New Ideas for better Ruby
43. “Any sufficiently advanced technology is indistinguishable from magic.” ­ Arthur C. Clarke
44. Writing C extensions • FFI gem. • Rice. • SWIG. • Writing C bindings manually.
45. Rubyist! Write me a C extension!
46. def factorial n n > 1 ? n*factorial(n-1) : 1 end
47. unsigned long long int calc_factorial(unsigned long long int n) { return (n > 1 ? n*calc_factorial(n-1) : 1); } static VALUE cfactorial(VALUE self, VALUE n) { return ULL2FIX( calc_factorial(NUM2ULL(n))); }
48. void Init_factorial() { VALUE cFact = rb_define_class("Fact", rb_cObject); rb_define_method(cFact, "factorial", cfactorial, 1); }
49. a = Fact.new a.factorial(8000)
50. Big Problems • Difficult and irritating to write. • Time consuming to debug. • Tough to trace memory leaks. • Change mindset from high level to low level language. • Need to care about small things.™* *Matz – Keynote at Red Dot Ruby Conf 2016, Singapore.
51. Rubex
52. Rubex is a Crystal­inspired superset of Ruby that compiles to C.
53. class Fact def factorial(unsigned long long int n) n > 1 ? n*factorial(n-1) : 1 end end
54. # Create a C static array and return a Ruby Array def adder(n) a = StaticArray(i32, n) i32 i = 0 i32 sum = 0 a.each(n) { a[i] = i*5 } for 0 <= i < n do sum += a[i] end sum end
55. Received the Ruby Association Grant 2016 for development of Rubex
56. https://github.com/v0dro/rubex
57. Scientific Computing on JRuby
58. NMatrix and NArray are a linear algebra libraries for Ruby similar to numpy.
59. NMatrix C/C++ core CRuby interpreter Numo::NArray C core CRuby interpreter
60. JRuby backend for the NMatrix Ruby API – Sci. Computing on JVM.
61. Allows interfacing JRuby libraries with jBLAS for performance. Uses Apache Commons Math library for storage and operations on internal Java arrays.
62. https://github.com/prasunanand/ nmatrix/tree/jruby_port
63. Symbolic Computation in Ruby with symengine.rb
64. (x – y) * (x ** y / z)
65. require 'symengine' x = SymEngine::Symbol.new("x") y = SymEngine::Symbol.new("y") z = SymEngine::Symbol.new("z") f = (x – y) * (x ** y / z) f.expand.to_s # x**(1 + y)/z – x**y*y/z f == - (x**y*y/z) + (x**y*x/z) # true
66. https://github.com/symengine/ symengine.rb
67. Ruby in Space
68. NASA SPICE Ruby wrapper spice_rub
69. require 'spice_rub' k_pool = SpiceRub::KernelPool.instance k_pool.load_folder("spec/data/kernels") epoch = SpiceRub::Time.now moon = SpiceRub::Body.new(:moon) earth = SpiceRub::Body.now(:earth) earth.position_at(epoch) moon.distance_from(:earth, epoch) # 395791.1464913574 (Km)
70. https://github.com/gau27/spice_rub
71. Cool SciRuby Stickers
72. Thank You Ruby World Conf!
73. Any questions?