MeasureThat.net

Run results for: Indepotent addition over large lists of vectors - SoA vs AoS

What's the fastest way to process a list of vectors? Do you go the OO route, with an array of Vector() objects? Do you create a new data structure, using Float32Arrays for x, y, and z? Let's find out!

Go to the benchmark
Run details:
Mozilla/5.0 (iPad; CPU OS 15_7 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/15.6,2 Mobile/15E148 Safari/604.1
Mobile Safari 15
iOS 15.7
Tablet
2 years ago
Test name Executions per second
SoA 635.7 Ops/sec
AoS 620.5 Ops/sec
Script Preparation code:
​x
 
var N = 10000
​
var x1 = new Float32Array(N);
var x2 = new Float32Array(N);
var x3 = new Float32Array(N);
​
var AoS1 = [];
var AoS2 = [];
var AoS3 = [];
​
for (var i = 0; i < N; ++i) {
    x1[i] = Math.random();
    x2[i] = Math.random();
    x3[i] = Math.random();
    AoS1.push( {x:Math.random(), y:Math.random(), z:Math.random()} );
    AoS2.push( {x:Math.random(), y:Math.random(), z:Math.random()} );
    AoS3.push( {x:Math.random(), y:Math.random(), z:Math.random()} );
}
Tests:

  • SoA

     
    for (var i = 0; i < N; ++i) {
        x3[i] = x1[i] + x2[i];
    }

  • AoS

     
    for (var i = 0; i < N; ++i) {
        AoS3[i].x = AoS1[i].x + AoS2[i].x;
    }