Benchmark: Uint(8/16/32)Array and BigInt64Array comparison performance

Script Preparation code:

var size = 8 * 40;
var srcBuf8 = new ArrayBuffer(size);
var srcBufPtr8 = new Uint8Array(srcBuf8);
var srcBuf16 = new ArrayBuffer(size*2);
var srcBufPtr16 = new Uint16Array(srcBuf16);
var srcBuf32 = new ArrayBuffer(size*4);
var srcBufPtr32 = new Uint32Array(srcBuf32);
var srcBuf64 = new ArrayBuffer(size*8);
var srcBufPtr64 = new BigUint64Array(srcBuf64);

for (let i = 0; i < size; i++) {
    srcBufPtr8[i] = 100 * Math.random();
}
for (let i = 0; i < size; i++) {
    srcBufPtr16[i] = srcBufPtr8[i];
}
for (let i = 0; i < size; i++) {
    srcBufPtr32[i] = srcBufPtr8[i];
}
for (let i = 0; i < size; i++) {
    srcBufPtr64[i] = BigInt(srcBufPtr8[i]);
}

​x
 
var size = 8 * 40;var srcBuf8 = new ArrayBuffer(size);var srcBufPtr8 = new Uint8Array(srcBuf8);var srcBuf16 = new ArrayBuffer(size*2);var srcBufPtr16 = new Uint16Array(srcBuf16);var srcBuf32 = new ArrayBuffer(size*4);var srcBufPtr32 = new Uint32Array(srcBuf32);var srcBuf64 = new ArrayBuffer(size*8);var srcBufPtr64 = new BigUint64Array(srcBuf64);​for (let i = 0; i < size; i++) {    srcBufPtr8[i] = 100 * Math.random();}for (let i = 0; i < size; i++) {    srcBufPtr16[i] = srcBufPtr8[i];}for (let i = 0; i < size; i++) {    srcBufPtr32[i] = srcBufPtr8[i];}for (let i = 0; i < size; i++) {    srcBufPtr64[i] = BigInt(srcBufPtr8[i]);}

Tests:

Uint8Array increment

let smallerCount = 0;
for (let i = 0; i < (size-1); i++) {
	if (srcBufPtr8[i] < srcBufPtr8[i+1]) {
      smallerCount++;
    }
}

 
let smallerCount = 0;for (let i = 0; i < (size-1); i++) {    if (srcBufPtr8[i] < srcBufPtr8[i+1]) {      smallerCount++;    }}​

Uint16Array increment

let smallerCount = 0;
for (let i = 0; i < (size-1); i++) {
	if (srcBufPtr16[i] < srcBufPtr16[i+1]) {
      smallerCount++;
    }
}

 
let smallerCount = 0;for (let i = 0; i < (size-1); i++) {    if (srcBufPtr16[i] < srcBufPtr16[i+1]) {      smallerCount++;    }}​

Uint32Array increment

let smallerCount = 0;
for (let i = 0; i < (size-1); i++) {
	if (srcBufPtr32[i] < srcBufPtr32[i+1]) {
      smallerCount++;
    }
}

 
let smallerCount = 0;for (let i = 0; i < (size-1); i++) {    if (srcBufPtr32[i] < srcBufPtr32[i+1]) {      smallerCount++;    }}​

BigUint64Array increment

let smallerCount = 0;
for (let i = 0; i < (size-1); i++) {
	if (srcBufPtr64[i] < srcBufPtr64[i+1]) {
      smallerCount++;
    }
}

 
let smallerCount = 0;for (let i = 0; i < (size-1); i++) {    if (srcBufPtr64[i] < srcBufPtr64[i+1]) {      smallerCount++;    }}​

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Experimental features:

Memory measurements supported only in Chrome.
For precise memory measurements Chrome must be launched with --enable-precise-memory-info flag.
More information: Monitoring JavaScript Memory

Test case name	Result
Uint8Array increment
Uint16Array increment
Uint32Array increment
BigUint64Array increment

Fastest: N/A

Slowest: N/A

Latest run results:

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

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/134.0.0.0 Safari/537.36

Browser/OS: Chrome 134 on Windows

View result in a separate tab

Test name	Executions per second
Uint8Array increment	1072470.4 Ops/sec
Uint16Array increment	1062807.2 Ops/sec
Uint32Array increment	1066712.8 Ops/sec
BigUint64Array increment	925765.9 Ops/sec

Autogenerated LLM Summary (model llama3.2:3b, generated 6 months ago):

Measuring performance and optimization in JavaScript can be a complex task, especially when it comes to comparing different data structures like arrays and Big arrays.

Benchmark Definition

The provided benchmark is designed to compare the performance of increment operations on different array types: Uint8Array, Uint16Array, Uint32Array, and BigUint64Array. The test case generates an array of a fixed size (40 elements), populates it with random values, and then iterates over the array, checking if each value is less than the next one.

Options Compared

The benchmark compares the performance of four options:

Uint8Array increment: Increment operation on a Uint8Array.
Uint16Array increment: Increment operation on a Uint16Array.
Uint32Array increment: Increment operation on a Uint32Array.
BigUint64Array increment: Increment operation on a BigUint64Array.

Pros and Cons of Each Approach

Uint8Array increment:
- Pros: Typically the fastest option due to the smallest size and limited range of values (0-255).
- Cons: May lead to precision issues when dealing with large numbers or high-precision calculations.
Uint16Array increment:
- Pros: Balances speed and accuracy, suitable for most numerical computations.
- Cons: May be slower than Uint8Array due to the larger size and more values to compare.
Uint32Array increment:
- Pros: Offers better performance and precision than Uint16Array, making it a good choice for high-precision calculations.
- Cons: Can lead to overflow issues if dealing with very large numbers or negative values.
BigUint64Array increment:
- Pros: Provides the highest level of precision and accuracy, suitable for extreme numerical computations.
- Cons: Typically the slowest option due to the massive size and range of values.

Other Considerations

When working with arrays in JavaScript, it's essential to consider factors like:

Data type: Choose an array type that aligns with your data requirements (e.g., using BigInt for very large or high-precision numbers).
Array size: Be mindful of the array size and how it affects performance. Large arrays can lead to slower computations.
Iteration order: The order in which you iterate over the array can impact performance, especially if dealing with specific data structures like Big arrays.

Library Used

The benchmark uses the BigInt function, introduced in ECMAScript 2020, for handling very large integers. This library provides a way to represent and manipulate arbitrarily-precision integers.

Special JS Feature/Syntax

No special JavaScript features or syntax are used in this benchmark aside from the BigInt function mentioned earlier.

Other alternatives to these array types include:

Float32Array: A 32-bit floating-point array, suitable for numerical computations that require higher precision than integers.
Float64Array: A 64-bit floating-point array, offering better performance and accuracy than Float32Array for very large or high-precision numbers.

Keep in mind that the choice of array type ultimately depends on your specific requirements and use case.

LLMs can make mistakes. Check important info.

Measuring performance and optimization in JavaScript can be a complex task, especially when it comes to comparing different data structures like arrays and Big arrays.

**Benchmark Definition**

**Options Compared**

The benchmark compares the performance of four options:

1. **Uint8Array increment**: Increment operation on a Uint8Array.
2. **Uint16Array increment**: Increment operation on a Uint16Array.
3. **Uint32Array increment**: Increment operation on a Uint32Array.
4. **BigUint64Array increment**: Increment operation on a BigUint64Array.

**Pros and Cons of Each Approach**

1. **Uint8Array increment**:
	* Pros: Typically the fastest option due to the smallest size and limited range of values (0-255).
	* Cons: May lead to precision issues when dealing with large numbers or high-precision calculations.
2. **Uint16Array increment**:
	* Pros: Balances speed and accuracy, suitable for most numerical computations.
	* Cons: May be slower than Uint8Array due to the larger size and more values to compare.
3. **Uint32Array increment**:
	* Pros: Offers better performance and precision than Uint16Array, making it a good choice for high-precision calculations.
	* Cons: Can lead to overflow issues if dealing with very large numbers or negative values.
4. **BigUint64Array increment**:
	* Pros: Provides the highest level of precision and accuracy, suitable for extreme numerical computations.
	* Cons: Typically the slowest option due to the massive size and range of values.

**Other Considerations**

When working with arrays in JavaScript, it's essential to consider factors like:

* **Data type**: Choose an array type that aligns with your data requirements (e.g., using BigInt for very large or high-precision numbers).
* **Array size**: Be mindful of the array size and how it affects performance. Large arrays can lead to slower computations.
* **Iteration order**: The order in which you iterate over the array can impact performance, especially if dealing with specific data structures like Big arrays.

**Library Used**

The benchmark uses the `BigInt` function, introduced in ECMAScript 2020, for handling very large integers. This library provides a way to represent and manipulate arbitrarily-precision integers.

**Special JS Feature/Syntax**

No special JavaScript features or syntax are used in this benchmark aside from the `BigInt` function mentioned earlier.

Other alternatives to these array types include:

* **Float32Array**: A 32-bit floating-point array, suitable for numerical computations that require higher precision than integers.
* **Float64Array**: A 64-bit floating-point array, offering better performance and accuracy than Float32Array for very large or high-precision numbers.

Keep in mind that the choice of array type ultimately depends on your specific requirements and use case.

Related benchmarks:

Uint(8/16/32)Array and BigInt64Array comparison performance (version: 0)

Uint(8/16/32)Array and BigInt64Array comparison performance

Comparing performance of: Uint8Array increment vs Uint16Array increment vs Uint32Array increment vs BigUint64Array increment

Created: one year ago by: Guest

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