It's Time To Get Functional 이건희

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Scot Cannon
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1 It's Time To Get Functional 이건희 1

2 Context Intro Performance Popularity Network Effect Why Is It Time To Get Functional? 2

3 Intro 3

4 Architect You are the architect (or carpenter). 4

5 Tools Can you say Oh, I have a fantastic multitester, so I don t need a hammer!? 5

6 Language Is A Tool 닭잡는데소잡는칼을쓰지마라 To take a sledgehammer to crack a nut. It is very important to use proper tools. 6

7 Performance Performance critical applications Game, scientific calculation, database Not so critical applications Wordprocessor, client, messenger 7

8 Performance Not just runtime performance Because we are the architect Developing performance Runtime performance Stability, Speed, Space 8

9 Developing Performance RAD tools Rapid Application Development Delphi, Visual Basic, Visual C#,... Very easy GUI implementations But limited abilities 9

10 Developing Performance Python, Perl, Ruby,... Scripting languages A lot of libraries (modules) out there Hackers love these 10

11 Runtime Performance Speed (general consensus) C, C++ Haskell, Erlang, Ocaml, Java Assembly (King) 11

12 Just A Benchmark 12

13 Runtime Performance Space Graphic / Audio / Video editing Generally not dependent on language 13

14 Runtime Performance Stability Where Functional Programming truly shines Type safety 14

15 Runtime Performance However, as Prof. gla mentioned, Functional programming has potential to be the best racer! Concurrent programming 15

16 Bad News 16

17 Popularity paperinfo/tpci/index.html Java % C % C % (May, 2009) 17

18 Popularity LISP/Scheme % Erlang % Haskell % ML % 18

19 What's Wrong? We all know that SML is way better than C Does technical superiority not matter? How is this possible? 19

20 Network Effect Think about it :: When you find an error message, what do you do? The answer := 20

21 Network Effect If there are already millions of users out there, you can find your answer more easily. This is a very common phenomenon. 21

22 Network Effect Ex) CPAN ( Comprehensive Perl Archive Network You can find modules (libraries) FAQ, Docs, QnAs, Modules, etc... 22

23 Network Effect I insist that in this level of popularity, functional programming has no vision in commercial programming. But, how about in 2020? 23

24 Future Surely there will be a huge improvement! That's one of the reason why we should learn functional programming We can prepare for the future 24

25 Why? Why there will be an improvement? We should see a little physics lecture 25

26 Multicore You heard about dual-core, quad-core, octa-core,... Why? 26

27 Clock Rate Air cooling = max. 3.7GHz Water cooling = max. 4.5GHz Liquid Nitrogen cooling = max. 7.35GHz No more These are the limits 27

28 Physical Barriers Speed of electrons (2c/3) Overheating Microwave emission Quantum effects 28

29 Answer Bio-computing Quantum-computer Feltier cooler Multicore paradigm 29

30 Multicore! 30

31 Not A Perfect Answer There is a formula called Amdahl's Law. 31

32 Data Hazard And another problem :: Data hazard Both cores share same cache and bus What if these two cores alter the same data concurrently? 32

33 Stability In multicore environment, stability is the key performance More stable and pure (in the sense of immutable variables) program means more parallel program 33

34 Not Enough! Showing off the superiority of FP is not enough! Criticizing C and C++ and other languages doesn t help FP 34

35 Strengths To get the maximum potential of FP We should know the strengths and weaknesses Improve step by step 35

36 Application 1 36

37 Application 2 37

38 Application 3 38

39 Not Good At Game Programming Haskell, Yampa, and Clean barely support this by using impure methods GUI Programming Haskell has a good library F# uses.net framework But, still hard 39

40 Which One? Haskell Open source, extensible, has good libraries F# Supported by MS.net framework 40

41 Conclusion Prepare for the future! Learning the usage of new tool doesn't hurt you. However, don't underestimate other programming languages. 41

42 Question 42

Functional Programming Principles in Scala. Martin Odersky

Functional Programming Principles in Scala Martin Odersky Programming Paradigms Paradigm: In science, a paradigm describes distinct concepts or thought patterns in some scientific discipline. Main programming