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Speed comparison with Project Euler C vs Python vs Erlang vs Haskell

February 15, 2025

Speed comparison with Project Euler C vs Python vs Erlang vs Haskell

Selecting the correct programming communication for computationally intensive duties, similar these recovered connected Task Euler, tin importantly contact show. This article delves into a velocity examination of 4 fashionable languages: C, Python, Erlang, and Haskell, analyzing their strengths and weaknesses once tackling Task Euler issues. Knowing these variations tin aid you take the champion implement for the occupation, whether or not you’re prioritizing natural velocity, elegant codification, oregon concurrency.

C: The Velocity Demon

C, famed for its adjacent-to-the-metallic show, frequently reigns ultimate successful velocity comparisons. Its nonstop representation direction and minimal overhead brand it an fantabulous prime for computationally intensive duties. Once optimized efficaciously, C codification tin outperform another languages by a important border, particularly successful issues involving dense numerical computations.

Nevertheless, this velocity comes astatine a outgo. C requires much guide representation direction and cautious attraction to item, expanding improvement clip and the possible for errors. For Task Euler issues wherever fast prototyping is desired, the verbose quality of C mightiness beryllium a hindrance.

For case, implementing analyzable algorithms successful C tin necessitate importantly much strains of codification in contrast to increased-flat languages similar Python oregon Haskell. Piece this permits for good-grained power complete show, it besides will increase improvement clip and complexity.

Python: Balancing Velocity and Simplicity

Python gives a compelling equilibrium betwixt velocity and easiness of usage. Piece not arsenic accelerated arsenic C, Python’s extended libraries and broad syntax let for fast prototyping and improvement. Libraries similar NumPy message optimized mathematical capabilities that span the show spread, making Python a fashionable prime for technological computing and information investigation.

Python’s dynamic typing and interpreted quality bash present any overhead in contrast to compiled languages. Nevertheless, for galore Task Euler issues, Python’s concise syntax and readily disposable libraries frequently outweigh the flimsy show commercial-disconnected, particularly for newbies oregon once clip is of the essence.

Galore skilled Task Euler solvers usage Python for its speedy improvement rhythm, leveraging optimized libraries once essential to code show bottlenecks. This attack permits them to iterate rapidly and experimentation with antithetic options effectively.

Erlang: Concurrency King

Erlang shines successful concurrent programming, making it appropriate for Task Euler issues that tin beryllium breached behind into parallel duties. Its light-weight processes and communication-passing scheme let for businesslike utilization of multi-center processors, possibly starring to important show beneficial properties in contrast to azygous-threaded approaches.

Piece Erlang excels successful concurrency, its alone syntax and practical programming paradigm mightiness necessitate a steeper studying curve for any builders. Nevertheless, for issues involving parallel computations, Erlang’s almighty concurrency options tin beryllium a crippled-changer.

Ideate a Task Euler job involving the autarkic calculation of premier elements for a ample fit of numbers. Erlang’s concurrency options would let you to administer these calculations crossed aggregate cores, importantly decreasing the general execution clip.

Haskell: Elegant and Businesslike

Haskell, a purely practical communication, emphasizes codification readability and immutability. Its beardown kind scheme and lazy valuation tin pb to extremely optimized and maintainable codification. Piece the first studying curve tin beryllium steep, Haskell’s almighty abstractions tin simplify analyzable issues and possibly pb to businesslike options.

Haskell’s compiler tin execute assertive optimizations, possibly starring to show comparable to C successful definite situations. Its direction connected immutability and axenic features besides eliminates broadside results, simplifying debugging and reasoning astir codification.

For Task Euler issues that affect intricate mathematical relationships oregon recursive algorithms, Haskell’s elegant and concise syntax tin pb to extremely businesslike and expressive options. The beardown kind scheme besides helps drawback errors aboriginal successful the improvement procedure.

  • See the complexity of the job and your priorities (velocity, improvement clip, codification maintainability).
  • Leverage optimized libraries and instruments disposable for all communication.
  1. Analyse the job necessities.
  2. Take a appropriate communication primarily based connected your wants and experience.
  3. Instrumentality and chart your resolution.
  4. Optimize bottlenecks if essential.

For much programming challenges, cheque retired this assets: Coding Challenges.

Featured Snippet: Piece C frequently presents the natural velocity vantage, Python supplies a equilibrium of velocity and easiness of usage, peculiarly with libraries similar NumPy. Erlang excels successful concurrent issues, piece Haskell gives class and ratio done useful programming.

![Speed Comparison Infographic]([Infographic Placeholder])

FAQ

Q: Which communication is champion for Task Euler newbies?

A: Python is mostly advisable for newbies owed to its casual-to-larn syntax and extended libraries.

Selecting the correct communication for Task Euler is a nuanced determination, relying connected components specified arsenic job complexity, show necessities, and developer education. Piece C constantly delivers awesome velocity, Python gives a equilibrium betwixt velocity and simplicity that tin beryllium invaluable for fast prototyping and experimentation. Erlang’s property lies successful its concurrency capabilities, making it perfect for parallelizable issues. Haskell offers class and ratio done useful programming. By cautiously contemplating these commercial-offs, you tin choice the communication champion suited to your peculiar wants and maximize your probabilities of occurrence connected Task Euler. Research antithetic languages and detect which 1 resonates about with your coding kind and job-fixing attack. Don’t hesitate to experimentation and propulsion the boundaries of your programming abilities. Dive into Task Euler, take your communication, and embark connected the rewarding travel of fixing difficult mathematical issues.

Research much assets connected show optimization and communication comparisons to additional refine your knowing. See becoming a member of on-line communities and boards to discourse methods and larn from another Task Euler lovers. Steady studying and experimentation are cardinal to bettering your job-fixing talents and increasing your programming toolkit.

Larn C
Larn Python
Larn ErlangQuestion & Answer :
I person taken Job #12 from Task Euler arsenic a programming workout and to comparison my (certainly not optimum) implementations successful C, Python, Erlang and Haskell. Successful command to acquire any larger execution instances, I hunt for the archetypal triangle figure with much than one thousand divisors alternatively of 500 arsenic said successful the first job.

The consequence is the pursuing:

C:

lorenzo@enzo:~/erlang$ gcc -lm -o euler12.bin euler12.c lorenzo@enzo:~/erlang$ clip ./euler12.bin 842161320 existent 0m11.074s person 0m11.070s sys 0m0.000s 

Python:

lorenzo@enzo:~/erlang$ clip ./euler12.py 842161320 existent 1m16.632s person 1m16.370s sys 0m0.250s 

Python with PyPy:

lorenzo@enzo:~/Downloads/pypy-c-jit-43780-b590cf6de419-linux64/bin$ clip ./pypy /location/lorenzo/erlang/euler12.py 842161320 existent 0m13.082s person 0m13.050s sys 0m0.020s 

Erlang:

lorenzo@enzo:~/erlang$ erlc euler12.erl lorenzo@enzo:~/erlang$ clip erl -s euler12 lick Erlang R13B03 (erts-5.7.four) [origin] [sixty four-spot] [smp:four:four] [rq:four] [async-threads:zero] [hipe] [kernel-canvass:mendacious] Eshell V5.7.four (abort with ^G) 1> 842161320 existent 0m48.259s person 0m48.070s sys 0m0.020s 

Haskell:

lorenzo@enzo:~/erlang$ ghc euler12.hs -o euler12.hsx [1 of 1] Compiling Chief ( euler12.hs, euler12.o ) Linking euler12.hsx ... lorenzo@enzo:~/erlang$ clip ./euler12.hsx 842161320 existent 2m37.326s person 2m37.240s sys 0m0.080s 

Abstract:

  • C: a hundred%
  • Python: 692% (118% with PyPy)
  • Erlang: 436% (a hundred thirty five% acknowledgment to RichardC)
  • Haskell: 1421%

I say that C has a large vantage arsenic it makes use of agelong for the calculations and not arbitrary dimension integers arsenic the another 3. Besides it doesn’t demand to burden a runtime archetypal (Bash the others?).

Motion 1: Bash Erlang, Python and Haskell suffer velocity owed to utilizing arbitrary dimension integers oregon don’t they arsenic agelong arsenic the values are little than MAXINT?

Motion 2: Wherefore is Haskell truthful dilatory? Is location a compiler emblem that turns disconnected the brakes oregon is it my implementation? (The second is rather possible arsenic Haskell is a publication with 7 seals to maine.)

Motion three: Tin you message maine any hints however to optimize these implementations with out altering the manner I find the components? Optimization successful immoderate manner: nicer, sooner, much “autochthonal” to the communication.

EDIT:

Motion four: Bash my useful implementations license LCO (past call optimization, a.okay.a process recursion elimination) and therefore debar including pointless frames onto the call stack?

I truly tried to instrumentality the aforesaid algorithm arsenic akin arsenic imaginable successful the 4 languages, though I person to acknowledge that my Haskell and Erlang cognition is precise constricted.


Origin codes utilized:

#see <stdio.h> #see <mathematics.h> int factorCount (agelong n) { treble quadrate = sqrt (n); int isquare = (int) quadrate; int number = isquare == quadrate ? -1 : zero; agelong campaigner; for (campaigner = 1; campaigner <= isquare; campaigner ++) if (zero == n % campaigner) number += 2; instrument number; } int chief () { agelong triangle = 1; int scale = 1; piece (factorCount (triangle) < 1001) { scale ++; triangle += scale; } printf ("%ld\n", triangle); } 

#! /usr/bin/env python3.2 import mathematics def factorCount (n): quadrate = mathematics.sqrt (n) isquare = int (quadrate) number = -1 if isquare == quadrate other zero for campaigner successful scope (1, isquare + 1): if not n % campaigner: number += 2 instrument number triangle = 1 scale = 1 piece factorCount (triangle) < 1001: scale += 1 triangle += scale mark (triangle) 

-module (euler12). -compile (export_all). factorCount (Figure) -> factorCount (Figure, mathematics:sqrt (Figure), 1, zero). factorCount (_, Sqrt, Campaigner, Number) once Campaigner > Sqrt -> Number; factorCount (_, Sqrt, Campaigner, Number) once Campaigner == Sqrt -> Number + 1; factorCount (Figure, Sqrt, Campaigner, Number) -> lawsuit Figure rem Campaigner of zero -> factorCount (Figure, Sqrt, Campaigner + 1, Number + 2); _ -> factorCount (Figure, Sqrt, Campaigner + 1, Number) extremity. nextTriangle (Scale, Triangle) -> Number = factorCount (Triangle), if Number > a thousand -> Triangle; actual -> nextTriangle (Scale + 1, Triangle + Scale + 1) extremity. lick () -> io:format ("~p~n", [nextTriangle (1, 1) ] ), halt (zero). 

factorCount figure = factorCount' figure isquare 1 zero - (fromEnum $ quadrate == fromIntegral isquare) wherever quadrate = sqrt $ fromIntegral figure isquare = level quadrate factorCount' figure sqrt campaigner number | fromIntegral campaigner > sqrt = number | figure `mod` campaigner == zero = factorCount' figure sqrt (campaigner + 1) (number + 2) | other = factorCount' figure sqrt (campaigner + 1) number nextTriangle scale triangle | factorCount triangle > one thousand = triangle | other = nextTriangle (scale + 1) (triangle + scale + 1) chief = mark $ nextTriangle 1 1 

Utilizing GHC 7.zero.three, gcc four.four.6, Linux 2.6.29 connected an x86_64 Core2 Duo (2.5GHz) device, compiling utilizing ghc -O2 -fllvm -fforce-recomp for Haskell and gcc -O3 -lm for C.

  • Your C regular runs successful eight.four seconds (quicker than your tally most likely due to the fact that of -O3)
  • The Haskell resolution runs successful 36 seconds (owed to the -O2 emblem)
  • Your factorCount' codification isn’t explicitly typed and defaulting to Integer (acknowledgment to Daniel for correcting my misdiagnosis present!). Giving an express kind signature (which is modular pattern anyhow) utilizing Int and the clip modifications to eleven.1 seconds
  • successful factorCount' you person needlessly known as fromIntegral. A hole outcomes successful nary alteration although (the compiler is astute, fortunate for you).
  • You utilized mod wherever rem is sooner and adequate. This adjustments the clip to eight.5 seconds.
  • factorCount' is perpetually making use of 2 other arguments that ne\’er alteration (figure, sqrt). A person/wrapper translation provides america:
$ clip ./truthful 842161320 existent 0m7.954s person 0m7.944s sys 0m0.004s 

That’s correct, 7.ninety five seconds. Persistently fractional a 2nd quicker than the C resolution. With out the -fllvm emblem I’m inactive getting eight.182 seconds, truthful the NCG backend is doing fine successful this lawsuit excessively.

Decision: Haskell is superior.

Ensuing Codification

factorCount figure = factorCount' figure isquare 1 zero - (fromEnum $ quadrate == fromIntegral isquare) wherever quadrate = sqrt $ fromIntegral figure isquare = level quadrate factorCount' :: Int -> Int -> Int -> Int -> Int factorCount' figure sqrt candidate0 count0 = spell candidate0 count0 wherever spell campaigner number | campaigner > sqrt = number | figure `rem` campaigner == zero = spell (campaigner + 1) (number + 2) | other = spell (campaigner + 1) number nextTriangle scale triangle | factorCount triangle > a thousand = triangle | other = nextTriangle (scale + 1) (triangle + scale + 1) chief = mark $ nextTriangle 1 1 

EDIT: Truthful present that we’ve explored that, lets code the questions

Motion 1: Bash erlang, python and haskell suffer velocity owed to utilizing arbitrary dimension integers oregon don’t they arsenic agelong arsenic the values are little than MAXINT?

Successful Haskell, utilizing Integer is slower than Int however however overmuch slower relies upon connected the computations carried out. Fortunately (for sixty four spot machines) Int is adequate. For portability interest you ought to most likely rewrite my codification to usage Int64 oregon Word64 (C isn’t the lone communication with a agelong).

Motion 2: Wherefore is haskell truthful dilatory? Is location a compiler emblem that turns disconnected the brakes oregon is it my implementation? (The second is rather possible arsenic haskell is a publication with 7 seals to maine.)

Motion three: Tin you message maine any hints however to optimize these implementations with out altering the manner I find the components? Optimization successful immoderate manner: nicer, quicker, much “autochthonal” to the communication.

That was what I answered supra. The reply was

  • zero) Usage optimization through -O2
    1. Usage accelerated (notably: unbox-capable) sorts once imaginable
    1. rem not mod (a often forgotten optimization) and
  • three) person/wrapper translation (possibly the about communal optimization).

Motion four: Bash my purposeful implementations license LCO and therefore debar including pointless frames onto the call stack?

Sure, that wasn’t the content. Bully activity and gladsome you thought-about this.