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

Historical Performance Data aggregated from 5 community runs

Desktop Results:

Chrome 5 runs

soa

149/s

soa mark II

115/s

aos

7/s

Fastest: soa (22.4x faster)

View exact numbers

✓ soa: 149 ops/sec
• soa mark II: 115 ops/sec
• aos: 7 ops/sec

Results show median performance across all community submissions. Run this benchmark yourself to verify on your device.

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:

Run details: (Test run date: one year ago)

User agent: Mozilla/5.0 (X11; Linux x86_64; rv:128.0) Gecko/20100101 Firefox/128.0

Browser/OS: Firefox 128 on Linux

View result in a separate tab

soa mark II

249/s

aos

142/s

soa

59/s

View exact numbers

Test name	Executions per second
✓ soa mark II	249 Ops/sec
aos	142 Ops/sec
soa	59 Ops/sec

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

LLMs can make mistakes. Check important info.

Let's dive into the world of JavaScript microbenchmarks on MeasureThat.net.

**Benchmark Definition**

The benchmark measures the performance difference between two approaches: Staged Operations (SOA) and Staged Array Operations (SAO), also known as Asynchronous Operations (AOs). The benchmark is designed to compare the execution speed of these two approaches in a JavaScript context.

**Options Compared**

In this benchmark, there are three options being compared:

1. **Staged Operations (SOA)**: This approach involves executing each stage of the computation separately and then combining the results.
2. **Staged Array Operations (SAO) or Asynchronous Operations (AOs)**: In this approach, each element of the array is processed asynchronously, which can improve performance by avoiding blocking operations.

**Pros and Cons**

* **SOA**: Pros:
	+ Can be more predictable and easier to analyze.
	+ Allows for better control over the computation pipeline.
* Cons:
	+ May be slower due to the overhead of creating intermediate results.
	+ Can lead to memory issues if not handled properly.
* **SAO/AOs**: Pros:
	+ Can provide better performance by avoiding blocking operations.
	+ Can improve scalability and responsiveness.
* Cons:
	+ Can be more challenging to analyze and debug.
	+ May require additional infrastructure or libraries to manage asynchronous operations.

**Library Used**

In the benchmark, the `Float32Array` class is used to represent large arrays of floating-point numbers. This class provides an efficient way to store and manipulate array data in JavaScript.

**Special JS Features/Syntax**

There are no special JavaScript features or syntax mentioned in this benchmark. However, it's worth noting that modern JavaScript engines like V8 (used by Chrome) have implemented various optimizations and techniques to improve performance, such as just-in-time compilation and caching.

**Other Alternatives**

If you're interested in exploring alternative approaches to this benchmark, here are a few options:

1. **Caching**: Implementing caching mechanisms can help reduce the overhead of repeated computations.
2. **Parallel Processing**: Using parallel processing techniques, like Web Workers or libraries like worker.js, can potentially improve performance by executing computations concurrently.
3. **SIMD Instructions**: Using SIMD (Single Instruction, Multiple Data) instructions, like SSE or AVX, can provide significant performance improvements for certain types of computations.

Keep in mind that these alternatives may not be directly applicable to this specific benchmark and may require additional modifications or infrastructure to work effectively.

soa vs aos (version: 0)

As titled

Comparing performance of: `soa vs aos vs soa mark II`

Created: 9 years ago by: Guest

Go to the latest result

soa

aos

soa mark II

Historical Performance Data aggregated from 5 community runs

Desktop Results:

Chrome 5 runs

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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

soa vs aos (version: 0)

As titled

Comparing performance of: soa vs aos vs soa mark II

Created: 9 years ago by: Guest

Go to the latest result

soa

aos

soa mark II

Historical Performance Data aggregated from 5 community runs

Desktop Results:

Chrome 5 runs

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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

Related benchmarks

Comparing performance of: `soa vs aos vs soa mark II`