Benchmark: soa vs aos 1000 items

Script Preparation code:

var x = [], y =[], z =[];
var vectors = [];
for(var i = 0; i < 1000; i++){
  x[i] = Math.random()*100|0;
  y[i] = Math.random()*100|0;
  z[i] = Math.random()*100|0;
  
  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 * x[i]; y[i] = 2 * y[i]; z[i] = 2 * z[i]; }
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; }

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.

**Overview**

MeasureThat.net is a website that allows users to create and run JavaScript microbenchmarks. The provided JSON represents a benchmark test case comparing the performance of two approaches: Sequential Access Order (SOA) and Arbitrary Access Order (AOA).

**Benchmark Definition**

The benchmark definition describes the test scenario:

* **Description**: The test compares the performance of accessing an array of 1000 random integers using either SOA or AOA.
* **Script Preparation Code**: The script initializes three empty arrays (`x`, `y`, and `z`) and a single array to store vectors. It then populates these arrays with random integers between 0 and 99, creating 1000 vectors in the process.

**Html Preparation Code**

The HTML preparation code is null, indicating that no additional HTML setup is required for this benchmark.

**Individual Test Cases**

There are two test cases:

1. **SOA (Sequential Access Order)**
	* The benchmark definition uses a `for` loop to iterate over the array, accessing each element sequentially.
2. **AOA (Arbitrary Access Order)**
	* The benchmark definition uses a `for` loop to iterate over the array, accessing each element randomly.

**Comparison**

The test cases are designed to measure the performance difference between SOA and AOA when accessing an array of random integers. By comparing the execution times of both approaches, MeasureThat.net aims to provide insights into the optimal way to access arrays in JavaScript.

**Pros and Cons:**

* **SOA (Sequential Access Order)**
	+ Pros:
		- Predictable access pattern, making it easier to optimize cache performance.
		- Can be more efficient for certain data structures or algorithms.
	+ Cons:
		- May suffer from increased memory usage due to sequential allocation and deallocation of memory blocks.
* **AOA (Arbitrary Access Order)**
	+ Pros:
		- Can lead to better cache locality, reducing memory access latency.
		- May be more efficient for modern CPUs with cache hierarchies.
	+ Cons:
		- More complex access pattern can make optimization and caching more challenging.

**Library Usage**

There is no explicit library usage in the benchmark script. However, some JavaScript implementations might use libraries like V8 (Google's JavaScript engine) or SpiderMonkey (Mozilla's JavaScript engine) internally to optimize array access performance.

**Special JS Features/Syntax**

There are no special JS features or syntax mentioned in the benchmark definition. The focus is on comparing the performance of two basic array access patterns.

**Alternatives**

For testing array access performance, alternative approaches include:

1. **Randomized Array Allocation**: Instead of allocating an array and filling it with random integers, consider generating a randomized allocation pattern using libraries like `Math.random()` or specialized random number generators.
2. **Cache-Aware Benchmarks**: Modify the benchmark to specifically target cache-friendly patterns, such as accessing elements in a contiguous block or using cache-coherent operations.
3. **Multi-Threading or Parallel Processing**: Test array access performance with multi-threading or parallel processing to simulate real-world scenarios and explore optimization opportunities.

By exploring these alternatives and modifying the benchmark definition accordingly, you can gain deeper insights into the performance characteristics of different array access patterns in JavaScript.

Related benchmarks:

soa vs aos 1000 items (version: 0)

As titled

Comparing performance of: soa vs aos

Created: 3 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):