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MultiArray vs One-Dimensional Array
(version: 0)
Comparing performance of:
Two Dimensional vs One Dimensional
Created:
3 years ago
by:
Guest
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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>
Run tests (2)
Previous results
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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
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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):
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.
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