Benchmark: Array population

Script Preparation code:

var smallResultsLength = 250;
var largeResultsLength = 1000000;

Tests:

Sized array (small)
let testArray = Array(smallResultsLength); for(let i = 0; i < smallResultsLength; i++) { testArray.push("Hello"); }
Empty array (small)
let testArray = []; for(let i = 0; i < smallResultsLength; i++) { testArray.push("Hello"); }
Sized array (large)
let testArray = Array(largeResultsLength); for(let i = 0; i < largeResultsLength; i++) { testArray.push("Hello"); }
Empty array (large)
let testArray = []; for(let i = 0; i < largeResultsLength; i++) { testArray.push("Hello"); }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Sized array (small)
Empty array (small)
Sized array (large)
Empty array (large)

Fastest: N/A

Slowest: N/A

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

LLMs can make mistakes. Check important info.

I'll break down the benchmark definition and test cases for you.

**Benchmark Definition:**

The provided JSON represents the overall configuration of the benchmark. Here's what it tests:

* The main task is to populate an array with a specific number of elements, in this case, 250 (small) or 1,000,000 (large).
* There are two types of arrays being tested:
	+ Empty arrays: initialized with an empty `[]` and then populated.
	+ Sized arrays: initialized with a fixed size (`Array(smallResultsLength)` or `Array(largeResultsLength)`).

**Options Compared:**

The benchmark is comparing the performance of two approaches:

1. **Empty array initialization**: Creating an empty array and then pushing elements into it.
2. **Sized array initialization**: Creating a new array with a fixed size and then pushing elements into it.

These options are being compared to determine which approach is faster in terms of execution time.

**Pros and Cons:**

* **Empty array initialization**:
	+ Pros: May be more efficient since the array has less overhead (i.e., no initial size allocation).
	+ Cons: Requires repeated allocations and copies, which can lead to performance issues.
* **Sized array initialization**:
	+ Pros: Reduces repeated allocations and copies, as the entire array is created at once.
	+ Cons: May result in larger memory allocations for large arrays.

The choice of approach depends on the specific use case and requirements. If speed is the primary concern, using sized arrays might be preferred. However, if memory efficiency is crucial, empty array initialization might be a better option.

**Libraries Used:**

There are no explicit libraries mentioned in the benchmark definition or test cases.

However, it's worth noting that modern JavaScript engines often rely on internal libraries and optimizations to manage memory and performance. Some of these libraries might be influencing the results of this benchmark, but their impact is not directly observable from the provided information.

**Special JS Features/Syntax:**

There are no special JS features or syntax mentioned in the benchmark definition or test cases. The code snippets only demonstrate basic array manipulation techniques.

**Alternatives:**

If you're interested in exploring alternative approaches or optimizing this benchmark, consider the following options:

1. **Using typed arrays**: Instead of using JavaScript's built-in `Array` type, try using typed arrays like `Uint8Array`, `Int32Array`, etc. These can provide better performance and memory efficiency for specific use cases.
2. **Vectorization**: If you're working with large datasets, consider using vectorization techniques to perform operations on entire arrays at once. This can lead to significant performance improvements.
3. **Just-In-Time (JIT) compilation**: Some JavaScript engines, like SpiderMonkey or V8, offer JIT compilation capabilities. These can help optimize performance by compiling frequently executed code into machine code.

Keep in mind that these alternatives might require more advanced knowledge of JavaScript and its underlying engine implementations.

Let me know if you have any further questions or need additional clarification!

Latest run results:

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

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/118.0.0.0 Safari/537.36

Browser/OS: Chrome 118 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
Sized array (small)	114399.6 Ops/sec
Empty array (small)	133043.4 Ops/sec
Sized array (large)	14.3 Ops/sec
Empty array (large)	30.8 Ops/sec

Related benchmarks:

Array population (version: 0)

Comparing performance of: Sized array (small) vs Empty array (small) vs Sized array (large) vs Empty array (large)

Created: one year ago by: Registered User

Jump to the latest result

Sized array (small)

Empty array (small)

Sized array (large)

Empty array (large)

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

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