Benchmark: function name alias vs invocation 2

Script Preparation code:

function add(a, b) {
    const result = a + b;
    return result;
}

var addOneAlias = (a) => add(a, 1);

function addOneInvocation(a) {
    return add(a, 1);
}

Tests:

normal invocation
add(5, 1);
name alias
addOneAlias(5);
invocation
addOneInvocation(5);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
normal invocation
name alias
invocation

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

**Benchmark Definition JSON**

The provided JSON defines a simple JavaScript microbenchmark that compares three different approaches to invoke the `add` function:

1. **Function name alias**: `var addOneAlias = (a) => add(a, 1);`
2. **Invocation**: `function addOneInvocation(a) { return add(a, 1); }`

Both of these approaches are compared to the traditional method of invoking the `add` function directly: `add(5, 1)`.

**Options Compared**

The benchmark compares three options:

* **Direct Invocation**: `add(5, 1)`
* **Function Name Alias**: `addOneAlias(5)`
* **Invocation**: `addOneInvocation(5)`

These options are compared in terms of their execution performance.

**Pros and Cons of Each Approach**

Here's a brief analysis of each approach:

* **Direct Invocation (add(5, 1))**: This is the traditional way to invoke the `add` function. It's straightforward and easy to read.
	+ Pros: Simple, easy to understand
	+ Cons: May lead to slower execution due to function lookup and argument passing
* **Function Name Alias (addOneAlias)**: Creating a name alias for the `add` function can be beneficial for readability and maintainability.
	+ Pros: Can improve code readability, allows for easier testing and mocking
	+ Cons: May introduce additional overhead due to the creation of a new scope and lookup
* **Invocation (addOneInvocation)**: This approach creates a new function that simply calls `add` with the desired arguments. It can be beneficial for performance-critical code.
	+ Pros: Can provide better performance, allows for easier optimization
	+ Cons: May lead to more complex code, harder to understand

**Library Used**

There is no explicit library used in this benchmark. However, it's worth noting that some JavaScript engines, like V8 (used by Chrome), have built-in optimizations and features that can affect the performance of these approaches.

**Special JS Features or Syntax**

This benchmark does not explicitly use any special JavaScript features or syntax, such as async/await, generators, or arrow functions. However, it's worth noting that some modern browsers may optimize certain aspects of these features for better performance.

**Other Alternatives**

If you're interested in exploring alternative approaches to microbenchmarks, here are a few options:

* **Benchmarking libraries**: There are several benchmarking libraries available for JavaScript, such as Benchmark.js or Microbenchmark.js. These libraries provide a more structured approach to writing benchmarks and can help with optimization.
* **JavaScript engines**: Different JavaScript engines have varying levels of optimization and caching, which can affect the performance of your code. Some popular engines include V8 (Chrome), SpiderMonkey (Firefox), and SquirrelFish (Safari).
* **CPU and memory optimizations**: Optimizing for CPU and memory usage can significantly impact the performance of your code. This may involve using techniques like inlining, caching, or parallel processing.

Overall, this benchmark provides a simple yet insightful comparison of three approaches to invoking a function in JavaScript.

Related benchmarks:

function name alias vs invocation 2 (version: 0)

Comparing performance of: normal invocation vs name alias vs invocation

Created: 4 years ago by: Guest

Jump to the latest result

normal invocation

name alias

invocation

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):