Benchmark: sort performance fixed

Script Preparation code:

a = (() => {
    const a = [];
    for (let i = 0; i < 10000; i++) {
        a.push(Math.random())
    }
    return a;
})()

a32 = new Float32Array(a);
a64 = new Float64Array(a);

Tests:

a
a.sort();
a32
a32.sort();
a64
a64.sort()

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
a
a32
a64

Fastest: N/A

Slowest: N/A

Latest 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 dive into the world of JavaScript microbenchmarks.

**Benchmark Description**

The provided JSON represents a benchmark test case that measures the performance of sorting algorithms in JavaScript. The script preparation code creates an array `a` with 10,000 random elements and assigns it to two Float32Array (`a32`) and Float64Array (`a64`) objects. These arrays are then used as input for the sorting benchmarks.

**Options Compared**

The benchmark compares three options:

1. **Native Array (`a`)**: This option uses the native JavaScript array object.
2. **Float32Array (`a32`)**: This option uses a Float32Array, which is a typed array that represents a sequence of 32-bit floating-point numbers.
3. **Float64Array (`a64`)**: This option uses a Float64Array, which is a typed array that represents a sequence of 64-bit floating-point numbers.

**Pros and Cons**

Here's a brief overview of the pros and cons of each option:

* **Native Array (`a`)**:
	+ Pros: Native support, easy to work with.
	+ Cons: Performance might be slower due to JavaScript overhead.
* **Float32Array (`a32`)**:
	+ Pros: Faster performance compared to native arrays, as it bypasses some JavaScript overhead.
	+ Cons: Limited precision (32-bit floats).
* **Float64Array (`a64`)**:
	+ Pros: Higher precision (64-bit floats), which might be beneficial for certain calculations.
	+ Cons: Performance is slower than Float32Array due to the increased size of the data type.

**Library and Purpose**

None of the test cases use any external libraries. The `Float32Array` and `Float64Array` objects are part of the JavaScript Standard Library, which provides a way to work with typed arrays in JavaScript.

**Special JS Feature or Syntax**

There is no special JavaScript feature or syntax used in this benchmark. It only relies on standard JavaScript concepts and features.

**Other Alternatives**

If you're interested in exploring alternative approaches for sorting algorithms, some popular ones include:

* **Merge Sort**: A divide-and-conquer algorithm that splits the array into smaller chunks and merges them.
* **Quick Sort**: A divide-and-conquer algorithm that selects a pivot element and partitions the array around it.
* **Heap Sort**: A comparison-based sorting algorithm that uses a binary heap data structure.

Keep in mind that the choice of sorting algorithm depends on specific use cases, such as performance requirements, memory constraints, or stability considerations.

Related benchmarks:

sort performance fixed (version: 0)

sort performance

Comparing performance of: a vs a32 vs a64

Created: 4 years ago by: Guest

Jump to the latest result

a

a32

a64

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):