Good Math, Bad Math : The "C is Efficient" Language Fallacy - The Diigo Meta page

• 18 Jun 17
  

  kevino

  empty

• 10 Jan 12
  

  vvrbanc

  Idući put kada čujete izjavu "ako treba biti brzo, mora biti pisano u C-u", možete dotičnoj osobi tutnuti pod nos ovaj link.
  
  Ideja je da C nije inherentno brz već je samo "close to hardware", što je super kad pišeš svoj kernel scheduler ili driver za mrežnu.
  
  S druge strane, C kompajler je kompleksan sustav no bez obzira na svu svoju pamet je glup u usporedbi s čovjekom jer ne zna dobro optimizirati neke slučajeve bez da mu se to eksplicitno kaže. U nekim drugim jezicima je te eksplicitne napomene mnogo lakše izreći, tj. implementirati algoritam kojeg će kompajler znati dobro optimizirati.
  

  c efficient fallacy

• 

  Paul Vorbach

  programming language performance java c++ c ocaml python

• 09 Jan 12
  

  borislv

  performance java compiler c c++ languages

  • They're good at things that need to get very close to the hardware - not  in the efficiency sense
  • C and C++ suck rocks as languages for numerical computing.
  • Fortran

  1 more annotation...

• 

  nikerym

  programming c efficiency

• 31 May 11
  

  James Gao

  optimize c compiler

• 12 May 11
  

  Julian Qian

  有哪些代码编译器可以帮助优化呢？

  compiler programming optimization

• 17 Nov 10
  

  treblih

  functional c

• 17 Dec 09
  

  endolith -

  Here's the problem. C and C++ suck rocks as languages for numerical computing. They are not the fastest, not by a longshot. In fact, the fundamental design of them makes it pretty much impossible to make really good, efficient code in C/C++. There's a goo

  programming delicious-import

• 20 May 09
  

  wk fong
• 08 May 09
  

  Damon Snyder

  language c c++ performance optimization programming ocaml

• 07 May 09
  

  Javier Robles

  programming

• 06 May 09
  

  andreys

  programming c c++ performance optimization language ocaml

• 

  Christoph Rackwitz

  programming lisp c performance comparison efficiency optimization fortran computing compiler compilers languages functional language algorithms mathematics science python math speed ocaml java c++

• 05 May 09
  

  Miguel Angel Rasero

  optimization performance

• 

  Timo Tuominen

  performance unread c optimization c++

• 

  sgravitz

  development programming algorithms

• 04 May 09
  

  Colas Nahaboo

  programming language C tb

• 23 Oct 08
  

  arf_cri cristian

  why use fortran

  • The real semantics of almost anything interesting end up involving pretty much unrestricted pointers.
  • alias detection. Alias detection is identifying when two variables might be referencing the same location. Alias detection becomes a horrific mess in the presence of unrestricted pointers.
  • • C: 0.8 seconds.
     
    • C++: 2.3 seconds.
     
    • OCaml: 0.6 seconds interpreted, 0.3 seconds fully compiled.
     
    • Java: 1 minute 20 seconds.
     
    • Python: over 5 minutes.

  1 more annotation...

• 11 Mar 08
  

  Bart Masschelein

  vectorisation

• 30 Nov 07
  

  ento entotto

  c comparison computing del.icio.us java language programming

• 18 Nov 07
  

  Daniele Tricoli

  programming c performance c++ optimization mathematics numbers language languages comparison speed python ocaml

• 27 Oct 07
  

  Georgi Dimitrov

  programming

• 18 May 07
  

  jeubeda

  C++ development programming

• 27 Nov 06
  

  Santhosh

  c c++ imported:del.icio.us programming

• 07 Nov 06
  

  Sean Yen

  c_c++

• 06 Nov 06
  

  Benjamin Collins

  programming optimization mathematics

• 

  carl carrie

  Math_Matlab

• 03 Nov 06
  

  Jim Leous

  Article debunking some beliefs I've had concerning C. I think most people would tell you that it's not really for hardcore number crunching, but some of the Java JIT stuff will have me rethinking that.

  C comparison computing java performance language programming

• 

  cjlise

  On computer language efficiency

• 

  ruizhang

  The "C is Efficient" Language Fallacy

  programming c optimization performance c++

• 

  Clever Monkey

  C C++ Java coding math algorithms

• 02 Nov 06
  

  Joel Bennett

  c++ development languages rants reference

  • Here's the problem. C and C++ suck rocks as languages for numerical computing. They are not the fastest, not by a longshot. In fact, the fundamental design of them makes it pretty much impossible to make really good, efficient code in C/C++.
• 

  Andy Jackson

  programming performance science languages

• 
• 

  Wei-Jing Zhu
• 

  a77ila

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