Benchmark: BigIntArray - MeasureThat.net

Script Preparation code:

let ab = new ArrayBuffer(24);
u64s = new BigUint64Array(ab);
u32s = new Uint32Array(ab);

Tests:

Bigint
u64s[0] = u64s[1] & u64s[2];
Numbers
u32s[0] = u32s[2] & u32s[4]; u32s[1] = u32s[3] & u32s[5];

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Bigint
Numbers

Fastest: N/A

Slowest: N/A

Latest run results:

No previous 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 break down the provided benchmark definition and test cases.

**Benchmark Definition JSON**

The benchmark definition is a set of instructions that describes how to prepare the environment for testing, including:

1. **Script Preparation Code**: This code creates an `ArrayBuffer` with a size of 24 bytes and then creates two arrays from it: `BigUint64Array` (u64s) and `Uint32Array` (u32s). These arrays are used to test the performance of big integer operations and bitwise operations, respectively.

2. **Html Preparation Code**: This field is empty, indicating that no HTML preparation code is required for this benchmark.

**Individual Test Cases**

The test cases are designed to measure the performance of different JavaScript operations:

1. **Bigint**
	* The first test case measures the performance of a big integer operation: `u64s[0] = u64s[1] & u64s[2];`. This operation is similar to performing a bitwise AND operation between three large numbers.
2. **Numbers**
	* The second test case measures the performance of a bitwise operation using 32-bit integers: `u32s[0] = u32s[2] & u32s[4];\nu32s[1] = u32s[3] & u32s[5];`. This operation involves performing two separate bitwise AND operations.

**Pros and Cons of Different Approaches**

The benchmark compares the performance of big integer operations (`Bigint`) versus bitwise operations using 32-bit integers (`Numbers`). The pros and cons of each approach are:

* **Bigint**:
	+ Pros: Can handle large numbers with minimal loss of precision, suitable for cryptographic applications.
	+ Cons: Can be slower than `Number` due to the overhead of handling large integers.
* **Number**:
	+ Pros: Faster execution times due to optimized implementations and reduced memory usage.
	+ Cons: Limited to 32-bit integers, which can lead to precision issues with very large numbers.

**Library Used**

In this benchmark, the `BigUint64Array` library is used. This library provides a typed array for working with big integers in JavaScript, allowing developers to perform arithmetic operations on large numbers without worrying about type conversion or precision loss.

**Special JS Feature or Syntax**

The test cases do not use any special JavaScript features or syntax beyond the basic syntax required for the benchmark.

**Other Alternatives**

If you're looking for alternative benchmarks or tools to measure JavaScript performance, consider:

1. **JSPerf**: A web-based tool for measuring JavaScript performance and benchmarking different implementations.
2. **Benchmark.js**: A JavaScript library for writing and running benchmarks, providing a more comprehensive set of features than the provided JSON.
3. **V8 Benchmark Suite**: The official benchmark suite for Google's V8 engine, which powers Chrome, Node.js, and other browsers.

These alternatives offer varying levels of complexity, flexibility, and customization options, depending on your specific needs and goals.

Related benchmarks:

BigIntArray (version: 0)

Comparing performance of: Bigint vs Numbers

Created: 2 years ago by: Guest

Jump to the latest result

Bigint

Numbers

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):