PHP array parallel sorting: taking advantage of multi-core CPUs to improve performance

For large arrays, PHP parallel sorting is significantly faster than serial sorting by leveraging multi-core CPUs. This algorithm splits the array into segments, sorts them on multiple cores simultaneously, and merges them into an ordered array. Parallel sorting can be achieved using the parallel_sort() function in the parallel\Runtime library.

PHP array parallel sorting: using multi-core CPU to improve performance

Introduction

When dealing with large arrays, sorting operations can become a performance bottleneck. PHP's built-in sort() and usort() functions use a serial algorithm, which means that the sorting process only runs on a single CPU core.

Parallel sorting

In order to solve this problem, we can take advantage of PHP's parallel processing capabilities. Parallel sorting algorithms split the array into multiple smaller segments and sort the segments simultaneously on multiple CPU cores. When the segments are sorted, they are merged into an ordered array.

Practical case

The following is how to use the PHP parallel sort functionparallel_sort() Sort a large array:

use parallel\Runtime;

$runtime = new Runtime;

$array = range(0, 1000000);
shuffle($array);

$start = microtime(true);
$runtime->parallel($array, function ($chunk) {
    sort($chunk);
    return $chunk;
});
$end = microtime(true);

echo "Elapsed time: " . ($end - $start) . " seconds\n";

Comparison

Let's compare parallel sorting to serial sorting, using the same array:

$start = microtime(true);
sort($array);
$end = microtime(true);

echo "Elapsed time (serial): " . ($end - $start) . " seconds\n";

In most cases, parallel sorting is better than serial sorting on multi-core CPUs Row sorting is significantly faster.

Note

In order to use the parallel_sort() function, you need to install the parallel library. You can install it using Composer:

composer require parallel/runtime

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