Benchmark: soa vs aos - MeasureThat.net

Script Preparation code:

var x = [], y =[], z =[];
var vectors = [];
for(var i = 0; i < 1000000; 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; }
soa mark II
for (var i = 0, li=x.length; i < li; ++i) { x[i] = 2 * x[i]; } for (var i = 0, li=x.length; i < li; ++i) { y[i] = 2 * y[i]; } for (var i = 0, li=x.length; i < li; ++i) { z[i] = 2 * z[i]; }

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:

No previous run results

This benchmark does not have any results yet. Be the first one to run it!

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

LLMs can make mistakes. Check important info.

Measuring the performance difference between Single-Op Arrays (SoA) and Array-Of-Arrays (AoA) is a common benchmark in JavaScript.

**What are SoA and AoA?**

Single-Op Arrays (SoA) store all three arrays (`x`, `y`, and `z`) together as separate elements of an array, where each element is an object containing the corresponding values. This approach is often used when working with large datasets.

Array-Of-Arrays (AoA), on the other hand, use individual arrays for each variable. In this case, there are three separate arrays: one for `x`, one for `y`, and one for `z`. Each of these arrays stores only its own values.

**Options Compared**

In this benchmark, two variants of SoA (SoA) and AoA (AoA Mark II) are compared:

* **SoA**: A single array containing all three variables (`x`, `y`, and `z`) as separate objects.
* **AoA Mark II**: Three individual arrays: one for each variable.

**Pros and Cons**

Here's a brief summary of the pros and cons of each approach:

### SoA (Single-Op Arrays)

Pros:

1. **Memory Efficiency**: Since all data is stored in a single array, memory usage is minimized.
2. **Cache-Friendly**: The array can be stored in the CPU cache more efficiently, reducing access times.

Cons:

1. **Performance Overhead**: Accessing individual elements within an object (as in SoA) may incur additional overhead due to the need for JavaScript engine optimizations.
2. **Type Checking and Error Handling**: When using SoA, errors might occur if the wrong index is used or if the data type of one element affects another.

### AoA Mark II (Array-Of-Arrays)

Pros:

1. **Faster Access Times**: Since each array has its own dedicated memory space, accessing individual elements can be faster.
2. **Easier Error Handling and Type Checking**: With separate arrays for each variable, errors are less likely to occur due to incorrect indexing or data type conflicts.

Cons:

1. **Memory Usage**: Three separate arrays consume more memory than a single array with objects.
2. **Cache Inefficiency**: The CPU cache may become filled more quickly since the three arrays are accessed independently.

**Library and Special JS Features**

This benchmark does not explicitly use any libraries or special JavaScript features beyond standard ES6 syntax.

**Considerations**

When working with large datasets in JavaScript, it's essential to consider memory efficiency and performance. While SoA can be beneficial for memory usage, AoA Mark II offers faster access times at the cost of increased memory consumption. The choice between these two approaches depends on your specific use case and priorities.

**Alternatives**

If you're interested in exploring alternative approaches or optimizing your code further, consider the following:

* **Use typed arrays**: If you're working with large numerical datasets, using typed arrays (e.g., `Float64Array`) can provide better performance and memory efficiency.
* **Use array views**: When working with 2D or 3D data, array views (e.g., `Uint8ClampedArray`) can offer improved performance by reducing the number of cache accesses.
* **Optimize loops**: Minimizing loop iterations and using techniques like parallel processing or SIMD instructions can help improve overall performance.

Related benchmarks:

soa vs aos (version: 0)

As titled

Comparing performance of: soa vs aos vs soa mark II

Created: 9 years ago by: Guest

Jump to the latest result

soa

aos

soa mark II

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):