Benchmark: soa vs aos - MeasureThat.net

Script Preparation code:

var N = 1000000;

var x = [], y = [], z = [];

var xt = new Float32Array(1000000);
var yt = new Float32Array(1000000);
var zt = new Float32Array(1000000);

var vectors = [];

for(var i = 0; i < N; i++){
  x[i] = Math.random();
  y[i] = Math.random();
  z[i] = Math.random();
  
  xt[i] = x[i];
  yt[i] = y[i];
  zt[i] = z[i];
  
  vectors[i] = { x: x[i], y: y[i], z: z[i] };
}

var vector;

Tests:

soa
for (var i = 0, li=x.length; i < li; ++i) { x[i] *= 2; y[i] *= 2; z[i] *= 2; }
aos
for (var i = 0, li=vectors.length; i < li; ++i) { vector = vectors[i]; vector.x = 2 * vector.x; vector.y = 2 * vector.y; vector.z = 2 * vector.z; }
soa mark II
for (var i = 0, li=x.length; i < li; ++i) { x[i] *= 2; } for (var i = 0, li=y.length; i < li; ++i) { y[i] *= 2; } for (var i = 0, li=z.length; i < li; ++i) { z[i] *= 2; }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
soa
aos
soa mark II

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

This benchmark does not have any results yet. Be the first one to run it!

Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):

LLMs can make mistakes. Check important info.

Let's break down the provided benchmark and its individual test cases.

**Benchmark Overview**

The benchmark is designed to compare two different approaches to scaling an array of floating-point numbers in JavaScript. The goal is to measure which approach is faster, i.e., executes more instructions per second.

**Script Preparation Code**

The script preparation code creates four arrays:

1. `x`, `y`, and `z` are regular arrays with 1 million elements each.
2. `xt`, `yt`, and `zt` are Float32Array objects, which are typed arrays optimized for floating-point numbers.

Additionally, an array of objects `vectors` is created to hold the same data as the individual arrays.

**Benchmark Definition**

The benchmark consists of three test cases:

### "soa" (Short for "Scaling Of Arrays")

This test case uses a simple loop to iterate over each element in the `x`, `y`, and `z` arrays, multiplying each element by 2. The loop increments an index variable `i` from 0 to the length of the array.

**Pros:**

* Simple to understand and implement
* Does not require any special JavaScript features or libraries

**Cons:**

* May be slower due to unnecessary iterations over the entire array (e.g., if only a subset of elements needs to be scaled)

### "aos" (Short for "Array Of Scaling")

This test case uses a loop to iterate over each element in the `vectors` array, which holds the same data as the individual arrays. For each iteration, it scales the corresponding x, y, and z components of the vector by 2.

**Pros:**

* May be faster since it only iterates over the necessary elements (i.e., those that need to be scaled)

**Cons:**

* Requires creating an additional array of objects `vectors` to hold the data

### "soa mark II"

This test case is similar to "soa" but instead of scaling all three arrays simultaneously, it scales each array individually using separate loops.

**Pros:**

* May be faster since it scales individual arrays without affecting others
* Still relatively simple to understand and implement

**Cons:**

* Requires more iterations over the individual arrays (e.g., `y` and `z`) than in "soa"

**Library/Function Used**

The `Float32Array` type is a built-in JavaScript array type optimized for floating-point numbers. It's used here to improve performance when working with large amounts of numerical data.

**Special JS Features/Syntax**

None of the benchmark code uses any special JavaScript features or syntax, making it accessible to a wide range of software engineers.

**Other Alternatives**

If you wanted to test different scaling approaches without using arrays, you could consider using other data structures like linked lists, trees, or even strings. Additionally, you might want to explore alternative algorithms for scaling numerical data, such as using SIMD instructions (Single Instruction, Multiple Data) or parallel processing techniques.

In summary, the "soa", "aos", and "soa mark II" test cases provide a simple and well-controlled comparison of scaling array operations in JavaScript. By understanding the pros and cons of each approach, developers can better choose the most efficient method for their specific use case.

Related benchmarks:

soa vs aos (version: 0)

As titled

Comparing performance of: soa vs aos vs soa mark II

Created: 9 years ago by: Guest

Jump to the latest result

soa

aos

soa mark II

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

No previous run results

Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):