Benchmark: SLT for VR4300 - MeasureThat.net

Script Preparation code:

s64 = new BigInt64Array(new ArrayBuffer(24));

let bufHi = new ArrayBuffer(12);
let bufLo = new ArrayBuffer(12);
u32Lo = new Uint32Array(bufLo);
u32Hi = new Uint32Array(bufHi);
s32Lo = new Int32Array(bufLo);
s32Hi = new Int32Array(bufHi);

Tests:

Using Int32Array / Uint32Array
let r = 0; if (s32Hi[1] < s32Hi[2]) { r = 1; } else if (s32Hi[1] === s32Hi[2]) { r = (u32Lo[1] < u32Lo[2]) ? 1 : 0; } s32Lo[0] = r; s32Hi[0] = 0;
Using BigIntArray
const r = s64[1] < s64[2] ? 1n : 0n; s64[0] = r;

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Using Int32Array / Uint32Array
Using BigIntArray

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 26 days ago):

LLMs can make mistakes. Check important info.

**What is being tested:**
The provided benchmark tests the performance of two approaches to compare integers in JavaScript:

1. Using `Int32Array`/`Uint32Array`: This approach uses 32-bit signed and unsigned integer arrays, respectively, to store the values to be compared. The comparison is performed using the `<` operator.
2. Using `BigInt64Array`: This approach uses a 64-bit signed integer array to store the values to be compared. The comparison is performed using the `<` operator.

**Options being compared:**

* The two approaches are compared in terms of performance, specifically the number of executions per second on various devices (Desktop and unknown).
* There are no other options being tested in this benchmark.

**Pros and Cons of each approach:**

* **Using `Int32Array`/`Uint32Array`:**
	+ Pros:
		- Familiar to most developers, as these arrays have been used for years.
		- May be more cache-friendly due to their smaller size.
	- Cons:
		- Limited range (-2147483648 to 2147483647 for `Int32Array`, and 0 to 4294967295 for `Uint32Array`).
* **Using `BigInt64Array`:**
	+ Pros:
		- Can handle larger integers, making it suitable for applications that require high precision.
	- Cons:
		- Less familiar to most developers, as these arrays are relatively new.
		- May be less cache-friendly due to their larger size.

**Library and purpose:**
In the provided benchmark code, two libraries are used:

1. `BigInt64Array`: This is a built-in JavaScript array type that represents a 64-bit signed integer.
2. No other libraries are used in this benchmark.

**Special JS feature or syntax:**
No special features or syntax are mentioned in the benchmark code.

**Other alternatives:**
If you need to compare large integers, using `BigInt` (the JavaScript number type) would be another alternative:

```javascript
const r = s64[1] < s64[2] ? 1n : 0n;
s64[0] = r;
```

However, keep in mind that `BigInt` is only supported in ECMAScript 2020 and later versions. In earlier versions of JavaScript, you would need to use a library or alternative approach.

In general, if you need to compare small integers, using `Int32Array`/`Uint32Array` might be sufficient. If you need to compare larger integers, using `BigInt64Array` or `BigInt` would be more suitable.

Latest run results:

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

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36

Browser/OS: Chrome 114 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
Using Int32Array / Uint32Array	2336974.2 Ops/sec
Using BigIntArray	6298671.0 Ops/sec

Related benchmarks:

SLT for VR4300 (version: 0)

Implementation of SLT for n64. See https://github.com/hulkholden/n64js/commit/3daa584c40a8e04ed9d39abfcf64724c93fe61cf.

Comparing performance of: Using Int32Array / Uint32Array vs Using BigIntArray

Created: one year ago by: Registered User

Jump to the latest result

Using Int32Array / Uint32Array

Using BigIntArray

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 26 days ago):