Benchmark: Math.min vs. ternary vs ternaryv2

Script Preparation code:

var a = Math.random() * 1000;
var b = Math.random() * 1000;

function ternary_min_v2(x, y) {
  if (arguments.length === 2) {
     return x < y ? x : y;
  }
  return x;
}

function ternary_min(x, y) {
  return x < y ? x : y;
}

function bitwise_min(x, y) {
  return y ^ ((x ^ y) & -(x < y));
}

Tests:

Math.min
var min = Math.min(a, b);
Ternary
var min = ternary_min(a, b);
Bitwise min
var min = bitwise_min(a, b);
Ternary v2
var min = ternary_min_v2(a, b);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Math.min
Ternary
Bitwise min
Ternary v2

Fastest: N/A

Slowest: N/A

Latest run results:

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Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):

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Let's dive into the benchmark analysis.

**Benchmark Overview**

The benchmark is designed to compare the performance of three different approaches for finding the minimum value between two numbers: `Math.min`, `ternary_min` (a traditional ternary operator implementation), and `bitwise_min` (an optimized bitwise implementation). The `ternary_min_v2` function is a variation of the traditional ternary operator implementation.

**Options Compared**

The benchmark compares the performance of three different approaches:

1. **Math.min**: This is the built-in JavaScript function for finding the minimum value between two numbers.
2. **Ternary min**: This is an implementation using a traditional ternary operator (`x < y ? x : y`).
3. **Bitwise min**: This is an optimized implementation using bitwise operations to find the minimum value.

**Pros and Cons**

Here's a brief summary of each approach:

1. **Math.min**:
	* Pros: Easy to understand, widely supported, and well-optimized.
	* Cons: May not be as fast as other implementations due to its simple but less optimized logic.
2. **Ternary min**:
	* Pros: Similar syntax to `Math.min`, easy to understand for those familiar with ternary operators.
	* Cons: Less optimized than `Math.min` and may not perform well on all platforms.
3. **Bitwise min**:
	* Pros: Optimized for performance using bitwise operations, which can be faster on some platforms.
	* Cons: May have a steeper learning curve due to its use of bitwise operators.

**Library**

None of the benchmarks use any external libraries. The `Math.min` function is a built-in JavaScript method, while the other two implementations are custom-written functions.

**Special JS Features or Syntax**

None of the benchmarks use any special JavaScript features or syntax beyond what's commonly used in modern JavaScript development.

**Benchmark Preparation Code Explanation**

The benchmark preparation code generates two random numbers (`a` and `b`) between 0 and 1000, which are then passed to each implementation for comparison. The `ternary_min_v2` function is similar to the traditional ternary operator implementation but with a different syntax and variable naming convention.

**Alternative Implementations**

Other alternative implementations could include:

1. **Binary search**: An optimized approach using binary search algorithms to find the minimum value.
2. **Hybrid approach**: A combination of `Math.min` and bitwise operations for optimal performance on certain platforms.
3. **Just-In-Time (JIT) compilation**: Using a JIT compiler like V8 or SpiderMonkey to optimize the implementation.

Keep in mind that these alternatives would require significant changes to the benchmark code and implementation.

Related benchmarks:

Math.min vs. ternary vs ternaryv2 (version: 0)

Comparing performance of: Math.min vs Ternary vs Bitwise min vs Ternary v2

Created: 5 years ago by: Guest

Jump to the latest result

Math.min

Ternary

Bitwise min

Ternary v2

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):