Benchmark: MultiArray vs One-Dimensional Array

Script Preparation code:


function generateNoise(width, height) {
    // Iterate from Top-Left to Bottom-Right
    let noise = [];
    for (let y = 0; y < height; y++) {
        for (let x = 0; x < width; x++) {
            if (noise[x] == null) noise[x] = [];
            noise[x][y] = Math.random();
        }
    } return noise;
}


function generateNoiseSingle(width, height) {
    // Iterate from Top-Left to Bottom-Right
    let noise = [];
    for (let y = 0; y < height; y++) {
        for (let x = 0; x < width; x++) {
            noise[xyToSingle(width, x, y)] = Math.random();
        }
    } return noise;
}


function xyToSingle(width, x, y) {
    return (y * width) + x;
}

Tests:

Two Dimensional
generateNoise(1000, 1000);
One Dimensional
generateNoiseSingle(1000, 1000);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Two Dimensional
One Dimensional

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 8 months ago)

User agent: Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:142.0) Gecko/20100101 Firefox/142.0

Browser/OS: Firefox 142 on Ubuntu

View result in a separate tab

Test name	Executions per second
Two Dimensional	28.7 Ops/sec
One Dimensional	38.6 Ops/sec

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 explain what's being tested.

**Benchmark Overview**

The benchmark measures the performance difference between two approaches to create a 2D noise array in JavaScript:

1. **MultiArray**: Using a 2D array to store the noise values, where each inner array represents a row of the 2D array.
2. **One-Dimensional Array**: Storing the noise values in a single array, where each index corresponds to a specific position in the 2D array.

**Options Compared**

The benchmark compares the performance of these two approaches:

* **MultiArray**: Using a 2D array to store the noise values.
* **One-Dimensional Array**: Storing the noise values in a single array using a custom `xyToSingle` function to map 2D coordinates to a 1D index.

**Pros and Cons**

* **MultiArray**:
	+ Pros: Easier to implement and understand, as it's a more traditional approach.
	+ Cons: May lead to slower performance due to the overhead of managing a 2D array.
* **One-Dimensional Array**:
	+ Pros: Can potentially be faster, as it avoids the overhead of managing a 2D array.
	+ Cons: Requires a custom function to map 2D coordinates to a 1D index, which can add complexity.

**Library and Special JS Features**

There are no libraries used in this benchmark. However, the `xyToSingle` function is a custom implementation that maps 2D coordinates (x, y) to a single 1D index.

**Special JS Feature or Syntax**

The benchmark uses JavaScript's array indexing and mapping capabilities, as well as the `Math.random()` function for generating random values. No special features or syntax are required.

**Other Alternatives**

In addition to the two approaches mentioned above (MultiArray and One-Dimensional Array), other alternatives could include:

* Using a library like Three.js for 2D array operations
* Implementing a custom data structure, such as an interval tree or k-d tree
* Using a JavaScript framework or engine that optimizes 2D array operations

Keep in mind that the choice of alternative will depend on the specific requirements and constraints of the project.

**Benchmark Preparation Code**

The benchmark preparation code is provided in the "Script Preparation Code" section of the benchmark definition JSON. It defines two functions:

* `generateNoise(width, height)`: Creates a 2D array using the MultiArray approach.
* `generateNoiseSingle(width, height)`: Creates a single array using the One-Dimensional Array approach.

The `xyToSingle` function is also defined to map 2D coordinates (x, y) to a single 1D index.

Related benchmarks:

MultiArray vs One-Dimensional Array (version: 0)

Comparing performance of: Two Dimensional vs One Dimensional

Created: 3 years ago by: Guest

Jump to the latest result

Two Dimensional

One Dimensional

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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