Benchmark: Caching with loop conditions

Script Preparation code:

var arr = [...Array(1000).keys()];

AخA
 
var arr = [...Array(1000).keys()];

Tests:

With cache

let sum = 0;
for (let i = 0, arrLen=arr.length; i < arrLen; i++){
  sum += arr[i];
}

 
let sum = 0;for (let i = 0, arrLen=arr.length; i < arrLen; i++){  sum += arr[i];}

Without cache
let sum = 0; for (let i = 0; i < arr.length; i++){ sum += arr[i]; }
let sum = 0;
for (let i = 0; i < arr.length; i++){
sum += arr[i];
}
While loop (as performance reference)
let sum = 0; let i = arr.length; while(i--){ sum += arr[i] }
let sum = 0;
let i = arr.length;
while(i--){
sum += arr[i]
}

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Experimental features:

Memory measurements supported only in Chrome.
For precise memory measurements Chrome must be launched with --enable-precise-memory-info flag.
More information: Monitoring JavaScript Memory

Test case name	Result
With cache
Without cache
While loop (as performance reference)

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 2 years ago)

User agent: Mozilla/5.0 (Linux; Android 12; M2102J20SG) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/110.0.5481.192 Mobile Safari/537.36 OPR/74.1.3922.71199

Browser/OS: Opera Mobile 74 on Android

View result in a separate tab

Test name	Executions per second
With cache	10589.2 Ops/sec
Without cache	5421.3 Ops/sec
While loop (as performance reference)	10713.4 Ops/sec

Autogenerated LLM Summary (model llama3.2:3b, generated 6 months ago):

Let's break down the provided benchmark and its test cases.

Benchmark Definition

The provided benchmark definition defines a JavaScript microbenchmark that compares the performance of three different approaches to calculate the sum of an array:

With cache: This approach uses a variable arrLen to store the length of the array, which is assigned directly from the arr.length property. This allows the loop to continue as long as i < arrLen.
Without cache: This approach does not use a separate variable for the array length and instead checks the condition within the loop itself.
While loop (as performance reference): This is a reference benchmark that uses a while loop with decrementing i to calculate the sum.

Options Compared

The benchmark compares the performance of two approaches:

With cache: Uses a separate variable for the array length, allowing the loop to continue as long as i < arrLen.
Without cache: Does not use a separate variable for the array length and checks the condition within the loop itself.

Pros and Cons

With cache:
- Pros: More efficient since the array length is only calculated once and can be reused.
- Cons: May lead to less accurate results if the array length changes frequently or unexpectedly.
Without cache:
- Pros: Less dependent on the initial value of arr.length and may provide more accurate results.
- Cons: More computationally expensive since the array length is recalculated within the loop.

Other Considerations

The benchmark also includes a reference benchmark using a while loop, which can serve as a performance baseline. However, this approach has its own set of pros and cons:

While loop (as performance reference):
- Pros: Can provide an accurate performance baseline for the two compared approaches.
- Cons: May not be representative of real-world scenarios where array lengths are dynamic.

Libraries Used

None of the provided benchmark definitions use a specific JavaScript library. However, it's worth noting that some libraries like lodash or underscore may provide similar functionality to what is demonstrated in this benchmark (e.g., iteration helpers).

Special JS Features or Syntax

None of the test cases explicitly utilize special JavaScript features or syntax beyond basic ES6 syntax.

Alternatives

Other alternatives for measuring performance in JavaScript microbenchmarks include:

V8 Benchmark: A set of benchmarks provided by Google that targets specific aspects of V8, such as garbage collection and loop unrolling.
JavaScriptPerf: A benchmarking library specifically designed for JavaScript performance testing.
Benchmark.js: A lightweight benchmarking library that allows for easy creation of microbenchmarks.

Keep in mind that each alternative has its strengths and weaknesses, and the choice of which one to use depends on specific requirements and goals.

LLMs can make mistakes. Check important info.

Let's break down the provided benchmark and its test cases.

**Benchmark Definition**

The provided benchmark definition defines a JavaScript microbenchmark that compares the performance of three different approaches to calculate the sum of an array:

1. **With cache**: This approach uses a variable `arrLen` to store the length of the array, which is assigned directly from the `arr.length` property. This allows the loop to continue as long as `i < arrLen`.
2. **Without cache**: This approach does not use a separate variable for the array length and instead checks the condition within the loop itself.
3. **While loop (as performance reference)**: This is a reference benchmark that uses a while loop with decrementing `i` to calculate the sum.

**Options Compared**

The benchmark compares the performance of two approaches:

1. **With cache**: Uses a separate variable for the array length, allowing the loop to continue as long as `i < arrLen`.
2. **Without cache**: Does not use a separate variable for the array length and checks the condition within the loop itself.

**Pros and Cons**

* **With cache**:
	+ Pros: More efficient since the array length is only calculated once and can be reused.
	+ Cons: May lead to less accurate results if the array length changes frequently or unexpectedly.
* **Without cache**:
	+ Pros: Less dependent on the initial value of `arr.length` and may provide more accurate results.
	+ Cons: More computationally expensive since the array length is recalculated within the loop.

**Other Considerations**

The benchmark also includes a reference benchmark using a while loop, which can serve as a performance baseline. However, this approach has its own set of pros and cons:

* **While loop (as performance reference)**:
	+ Pros: Can provide an accurate performance baseline for the two compared approaches.
	+ Cons: May not be representative of real-world scenarios where array lengths are dynamic.

**Libraries Used**

None of the provided benchmark definitions use a specific JavaScript library. However, it's worth noting that some libraries like `lodash` or `underscore` may provide similar functionality to what is demonstrated in this benchmark (e.g., iteration helpers).

**Special JS Features or Syntax**

None of the test cases explicitly utilize special JavaScript features or syntax beyond basic ES6 syntax.

**Alternatives**

Other alternatives for measuring performance in JavaScript microbenchmarks include:

1. **V8 Benchmark**: A set of benchmarks provided by Google that targets specific aspects of V8, such as garbage collection and loop unrolling.
2. **JavaScriptPerf**: A benchmarking library specifically designed for JavaScript performance testing.
3. **Benchmark.js**: A lightweight benchmarking library that allows for easy creation of microbenchmarks.

Keep in mind that each alternative has its strengths and weaknesses, and the choice of which one to use depends on specific requirements and goals.

Related benchmarks:

Caching with loop conditions (version: 0)

Comparing performance of with and without caching array length.

Comparing performance of: With cache vs Without cache vs While loop (as performance reference)

Created: 2 years ago by: Guest

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