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implementing is_prime function and test speed of execution in different languages and runtimes.

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Performance Test

This repository contains an implementation of the is_prime function in multiple programming languages using the same algorithm. The goal is to compare the performance of different languages and runtimes.

Usage

To run code in various programming languages, use the run.sh script:

./run.sh [LANGUAGE]

If no argument is provided, the script will run code in all supported languages. Otherwise, provide a language name to run the corresponding code.

Supported Languages

  • assembly
  • c
  • cpp
  • rust
  • go
  • java
  • nodejs
  • csharp_mono
  • dart
  • python_codon
  • pascal
  • python
  • php
  • r
  • erlang

Examples

# Run code in all supported languages
./run.sh

# Run C++ code
./run.sh cpp

To display usage instructions and a list of supported languages, use the --help or -h flag:

./run.sh --help

If you want to add your own test results, simply run the run.sh script with your CPU model name and redirect the output to a file in the result directory.

See the result directory for the output of running the tests on different CPUs.

My Laptop (Intel(R) Core(TM) i7-8550U)

Note: times are 5% more or less on different runs, so C and C++ can win sometimes.

Ranking Language Runtime/Compiler Time n% Slower than Winner
#1 Assembly NASM 3.10s Winner
#2 C GCC 3.12s 0.64%
#3 C++ G++ 3.15s 1.6%
#4 Rust Native 1.67.1 3.31s 6.7%
#5 Go Go 1.20.3 3.81s 22%
#6 Java OpenJDK 17 5.73s 84%
#7 Js Nodejs 12 5.85s 88%
#8 C# Mono 6.8 6.54s 110%
#9 Dart Dart 2.19.0 7.11s 129%
#10 Python Codon 0.16.0 10.89s 251%
#11 Pascal FPC 3.2.2 13.68s 341%
#12 Python Python 3.9.2 99.79s 3008%

The n% Slower than Winner column shows the percent difference between the time taken by each language and the fastest language (Assembly).

Formula: ((LanguageTime - WinnerTime) * 100) / WinnerTime

Contribute

You can contribute to this repository in one of the following ways:

  1. Optimize your favorite programming language without changing the algorithm and without using concurrency.
  2. Add a new language by using the same algorithm.
  3. Add a new runtime.
  4. Share your test results.
  5. Add your result to the result directory.

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implementing is_prime function and test speed of execution in different languages and runtimes.

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  • Shell 31.9%
  • Assembly 28.7%
  • Java 4.1%
  • Erlang 3.8%
  • C# 3.5%
  • Pascal 3.4%
  • Other 24.6%