Benchmark: Right shift VS Divide and floor

Script Preparation code:

var arr = new Array(10000).fill(0).map(() => Math.random() * 10);

Tests:

Right shift
arr.map(n => n >> 1);
Divide and floor
arr.map(n => Math.floor(n / 2));

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Right shift
Divide and floor

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 25 days ago):

LLMs can make mistakes. Check important info.

Let's break down the provided benchmark JSON and explain what's being tested.

**Script Preparation Code**

The script preparation code is responsible for setting up the test environment. In this case, it creates an array `arr` with 10,000 elements, each filled with a random value between 0 and 10.

```javascript
var arr = new Array(10000).fill(0).map(() => Math.random() * 10);
```

This code is executed before the actual benchmarking process starts. It ensures that the test environment has the same data structure and population for both test cases.

**Individual Test Cases**

There are two individual test cases:

1. **Right shift**: This test case uses the bitwise right shift operator `>>` to perform a right shift operation on each element of the array.
```javascript
arr.map(n => n >> 1);
```

This operation shifts the binary representation of the number to the right by one position, effectively dividing it by 2.

2. **Divide and floor**: This test case uses the `/` operator followed by `Math.floor()` to perform a division operation on each element of the array.
```javascript
arr.map(n => Math.floor(n / 2));
```

This operation divides the number by 2 and then rounds down to the nearest integer using `Math.floor()`.

**Pros and Cons**

Here's a brief analysis of the two approaches:

1. **Right shift**:
	* Pros: This approach is likely to be faster than dividing by 2, as it only requires a simple bit manipulation operation.
	* Cons: The result may not be exactly divisible by 2 due to the nature of bitwise operations.
2. **Divide and floor**:
	* Pros: This approach provides an exact division result, which can be useful in certain scenarios.
	* Cons: It's likely to be slower than the right shift approach, as it involves a more complex operation.

**Library**

There doesn't seem to be any external library being used in these test cases. The JavaScript operators and functions are part of the standard language.

**Special JS Feature or Syntax**

There are no special JavaScript features or syntaxes being used in these test cases that would require additional explanation.

**Other Alternatives**

If you were to create a benchmarking framework, you might consider using other approaches or libraries, such as:

* **Intel's MicroBenchmarking Library**: A C++ library for measuring the performance of small code snippets.
* **Google's V8 Profiler**: A tool for profiling and optimizing JavaScript engines.
* **BenchmarkJS**: A cross-browser benchmarking framework that allows you to write tests in a more expressive way.

These alternatives might provide additional features or flexibility, but they would require a deeper understanding of the specific use case and requirements.

Latest run results:

Run details: (Test run date: 16 days ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/130.0.0.0 Safari/537.36

Browser/OS: Chrome 130 on Windows

View result in a separate tab

Test name	Executions per second
Right shift	16719.0 Ops/sec
Divide and floor	872.6 Ops/sec

Related benchmarks:

Right shift VS Divide and floor (version: 0)

Comparing performance of: Right shift vs Divide and floor

Created: 3 years ago by: Guest

Jump to the latest result

Right shift

Divide and floor

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 25 days ago):