Benchmark: performance of loops

HTML Preparation code:

loop once

Script Preparation code:

var arr = Array.from({
    length: 1000
}).map((_, i) => i);
var addOne = (i) => i + 1;
var addTwo = (i) => i + 2;

Tests:

loop once
arr.forEach((i) => { addOne(i); addTwo(i); });
loop twice
arr.forEach((i) => addOne(i)); arr.forEach((i) => addTwo(i));

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
loop once
loop twice

Fastest: N/A

Slowest: N/A

Latest run results:

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

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10.15; rv:128.0) Gecko/20100101 Firefox/128.0

Browser/OS: Firefox 128 on Mac OS X 10.15

View result in a separate tab

Test name	Executions per second
loop once	151275.9 Ops/sec
loop twice	49622.4 Ops/sec

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

LLMs can make mistakes. Check important info.

Let's dive into the world of JavaScript microbenchmarks and explore what's being tested on MeasureThat.net.

**Benchmark Definition**

The provided JSON represents a benchmark definition for measuring the performance of loops in JavaScript. It consists of two parts:

1. **Script Preparation Code**: This code is used to create the test environment before running the benchmarks. In this case, it creates an array `arr` with 1000 elements and defines two functions: `addOne` and `addTwo`. These functions take an integer as input and return the sum of that integer and a constant value.
2. **Html Preparation Code**: This code is used to set up the HTML environment for running the benchmarks. In this case, it simply runs the command "loop once".

**Individual Test Cases**

The test cases are defined in the `Test Name` field, which specifies the different ways loops can be executed:

1. **"loop once"**: This tests a single loop execution with both `addOne` and `addTwo` functions called for each element.
2. **"loop twice"**: This tests two separate loop executions: one with only `addOne` and another with only `addTwo`.

**Comparison of Options**

The main options being compared are:

* Loop execution style:
	+ Single loop execution (`"loop once"`): Both functions are called for each element in a single loop.
	+ Two separate loops (`"loop twice"`): One loop executes the `addOne` function, and another loop executes the `addTwo` function separately.
* Function calls:
	+ Immediate function call: The `addOne` and `addTwo` functions are called immediately inside the loop.
* Potential optimizations:
	+ Using a single loop to execute both functions could potentially reduce overhead and improve performance.

**Pros and Cons of Different Approaches**

Here's a brief summary of the pros and cons of each approach:

1. **Single Loop Execution (`"loop once"`)**:
	+ Pros: Reduced function call overhead, potentially faster execution.
	+ Cons: May not accurately reflect the performance impact of separate loops.
2. **Two Separate Loops (`"loop twice"`)**:
	+ Pros: More representative of real-world scenarios where separate loops are used.
	+ Cons: Increased function call overhead and potential slower execution.

**Library Usage**

There is no explicit library usage in this benchmark definition. However, the use of `Array.from()` suggests that JavaScript's built-in API for creating arrays is being utilized.

**Special JS Features or Syntax**

This benchmark does not explicitly use any special JavaScript features or syntax beyond standard JavaScript programming constructs (e.g., loops, functions).

**Alternative Benchmarks**

Other alternatives to measuring loop performance in JavaScript might include:

* Measuring the time taken to execute a simple arithmetic operation (e.g., addition) within a loop.
* Comparing the performance of different data structures (e.g., arrays vs. linked lists) under looping operations.
* Evaluating the impact of parallel processing on loop execution times.

These alternatives could provide more comprehensive insights into JavaScript's performance characteristics and help developers optimize their code for specific use cases.

Related benchmarks:

performance of loops (version: 0)

Comparing performance of: loop once vs loop twice

Created: one year ago by: Guest

Jump to the latest result

loop once

loop twice

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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