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montecarlo-pi's Introduction

A multicore implementation of a Monte Carlo algorithm to calculate π

Calculates Pi with a distributed Monte Carlo algorithm and scales adaptivly to the available physical cpu cores.

There are also multiple Implementations in other languages to compare the speed with Rust.

Example

time cargo run --release -- -s 50_000_000_000

Using 4 physical cores:
π ~ 3.14158117856

real    2m14.549s
user    8m38.850s
sys     0m0.524s

Hyperfine benchmarks

Hyperfine benchmarks for 100.000.000 iterations.

Single core Rust

Benchmark #1: ./pi
  Time (mean ± σ):      1.326 s ±  0.011 s    [User: 1.321 s, System: 0.001 s]
  Range (min … max):    1.315 s …  1.346 s    10 runs

Single core GCC

Benchmark #1: ./target/pi-gcc
  Time (mean ± σ):      1.872 s ±  0.070 s    [User: 1.864 s, System: 0.001 s]
  Range (min … max):    1.811 s …  2.018 s    10 runs

Single core clang

Benchmark #1: ./target/pi-clang
  Time (mean ± σ):      1.794 s ±  0.013 s    [User: 1.787 s, System: 0.001 s]
  Range (min … max):    1.780 s …  1.825 s    10 runs

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