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!

Run details:

User agent: 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

Browser: Mobile Safari 15

Operating system: iOS 15.7

Device Platform: Tablet

Date tested: one year ago

Test name	Executions per second
SoA	635.7 Ops/sec
AoS	620.5 Ops/sec

Script Preparation code:

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; }