Benchmark: soa vs aos - MeasureThat.net

Script Preparation code:

var x = [], y =[], z =[], vector=[];


  x[0] = Math.random()*100|0;
  y[0] = Math.random()*100|0;
  z[0] = Math.random()*100|0;
  
  vector[0] = { x: x[0], y: y[0], z: z[0] }, i= 0;

Tests:

soa
x[i] = 2 * x[i]; y[i] = 2 * y[i]; z[i] = 2 * z[i];
aos
vector[i].x = 2 * vector[i].x; vector[i].y = 2 * vector[i].y; vector[i].z = 2 * vector[i].z;

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
soa
aos

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

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

LLMs can make mistakes. Check important info.

Let's break down the provided JSON data and explain what's being tested, compared, and the pros and cons of different approaches.

**Benchmark Definition**

The benchmark definition is a JavaScript code snippet that represents a microbenchmark. It creates an array `x`, `y`, and `z` and populates them with random values between 0 and 100. A `vector` array is also created and initialized with the first element of each corresponding array in `x`, `y`, and `z`. This setup suggests that the benchmark is comparing the performance of two approaches: Single Of Access (SOA) and Array Of Structures (AOS).

**Script Preparation Code**

The script preparation code initializes the arrays `x`, `y`, and `z` with random values. The line `vector[0] = { x: x[0], y: y[0], z: z[0] }` creates a single object that represents an element in the vector, where each property corresponds to one of the elements in `x`, `y`, and `z`.

**Html Preparation Code**

The HTML preparation code is empty (`null`), which means that no additional setup is required for the benchmark's execution environment.

**Individual Test Cases**

There are two test cases:

1. **SOA (Single Of Access)**: This test case iterates over an array of numbers and multiplies each element by 2 using the line `x[i] = 2 * x[i];`. The same operation is applied to `y` and `z`.
2. **AOS (Array Of Structures)**: This test case iterates over the same array of numbers, but instead of accessing individual elements directly, it accesses them through an object in the `vector` array using `vector[i].x = 2 * vector[i].x;`. The same operation is applied to each property in the object.

**Comparison**

The benchmark compares the performance of SOA and AOS approaches. The idea behind this comparison is to see which approach is faster for accessing elements in an array, either by accessing individual elements directly or through a nested object structure.

**Pros and Cons**

* **SOA (Single Of Access)**:
	+ Pros: Direct access to elements can be faster since the CPU doesn't have to perform additional lookups.
	+ Cons: May lead to wasted cycles if the array is not aligned with the memory layout, resulting in cache misses.
* **AOS (Array Of Structures)**:
	+ Pros: Can improve performance for large arrays that are aligned with the memory layout, reducing cache misses.
	+ Cons: Requires additional lookups and may be slower due to the overhead of accessing nested objects.

**Library Usage**

None of the provided benchmark code uses any external libraries. However, if we were to extend this benchmark, we might consider using a library like `numjs` or `mathjs` for numerical computations or data manipulation.

**Special JS Features/Syntax**

This benchmark does not use any special JavaScript features or syntax beyond basic arithmetic operations and array access.

**Alternatives**

Other alternatives for comparing the performance of SOA and AOS approaches could include:

* Using a different programming language, such as C++ or Java, to compare the performance of similar data structures.
* Creating a more complex benchmark that includes multiple iterations, loops, or conditional statements to simulate real-world scenarios.
* Using profiling tools or benchmarking frameworks like WebPageTest, Benchmark.js, or Microbenchmark to measure performance.

Keep in mind that the choice of alternative depends on the specific use case and requirements.

Related benchmarks:

soa vs aos (version: 0)

As titled

Comparing performance of: soa vs aos

Created: 8 years ago by: Guest

Jump to the latest result

soa

aos

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):