Benchmark: Pool Test - MeasureThat.net

Script Preparation code:

function MyObj(x) 
{
}

MyObj.prototype.init = function(x)
{
	this.value = x;
}

const k = 1048576;
const pool = new Array(k).fill(null);
let top = 0;
let bottom = 0;
let n = 0;

var alloc0 = function(x)
{
	return new MyObj().init(x);
}

var free0 = function(x)
{
	return null;
}

var alloc1 = function(x)
{
	let o;

	if (n > 0)
	{
		o = pool[top++];
		top &= k-1;
		n--;
	}
	else
	{
		o = new MyObj();
	}

	o.init(x);
	return o;
}

var free1 = function(x)
{
	if (n >= k)
		return null;
	
	pool[bottom++] = x;
	bottom &= k-1;
	n++;

	return null;
}

var a = new Array(k).fill(null);
var b = new Array(k).fill(null);

for (let i = 0; i < k; i++)
	a[i] = alloc1(12);

for (let i = 0; i < k; i++)
	free1(a[i]);

Tests:

A
for (let i = 0; i < a.length; i++) a[i] = alloc0(12);
B
for (let i = 0; i < b.length; i++) b[i] = alloc1(12); for (let i = 0; i < b.length; i++) free1(b[i]);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
A
B

Fastest: N/A

Slowest: N/A

Latest run results:

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

LLMs can make mistakes. Check important info.

I'll break down the benchmark and its options for you.

**Benchmark Overview**

The "Pool Test" benchmark measures the performance of two different memory allocation strategies: `alloc0` and `alloc1`, which are used to allocate objects in JavaScript arrays. The test compares these two approaches to see which one is faster.

**Options Compared**

There are two main options being compared:

### **Option 1: alloc0 (Simple Allocation)**

`alloc0` uses the following code:
```javascript
var alloc0 = function(x) {
    return new MyObj().init(x);
}
```
This approach simply creates a new `MyObj` object and initializes it with the given value. If there are already objects in the pool, it reuses them.

Pros:

* Easy to understand and implement
* Simple code

Cons:

* May lead to memory fragmentation and slower performance due to frequent object creation

### **Option 2: alloc1 (Pool-Based Allocation)**

`alloc1` uses the following code:
```javascript
var alloc1 = function(x) {
    let o;
    if (n > 0) {
        o = pool[top++]; // reuse an existing object from the pool
        top &= k-1; // ensure the index is within bounds
        n--;
    } else {
        o = new MyObj(); // create a new object if there are no objects in the pool
    }
    o.init(x);
    return o;
}
```
This approach uses a pool of pre-allocated objects to reduce memory allocation overhead. If an object is already in the pool, it's reused; otherwise, a new object is created.

Pros:

* Reduces memory allocation overhead
* Can lead to better performance and reduced memory fragmentation

Cons:

* More complex code than `alloc0`
* Requires careful management of the pool to avoid memory leaks or other issues

**Library**

The benchmark uses two libraries:

1. **MyObj**: a custom class that represents an object in the test. It has an `init` method that initializes its value.
2. **Array**: the built-in JavaScript array type, used to store and manage the objects.

**Special JS Feature/Syntax**

There is no special JavaScript feature or syntax used in this benchmark. However, it does use some advanced concepts like:

1. **Object initialization**: The `MyObj` class has an `init` method that initializes its value.
2. **Array indexing**: The benchmark uses array indices to access and manipulate objects.

**Other Alternatives**

If you're interested in exploring alternative memory allocation strategies or optimization techniques, here are a few options:

1. **Garbage collection**: JavaScript's garbage collector can automatically manage memory for you. However, it may lead to performance overhead due to the extra complexity.
2. **Manual memory management**: You could implement your own manual memory management system using techniques like reference counting or incremental garbage collection. This would require careful consideration of edge cases and potential performance issues.
3. **Just-In-Time (JIT) compilation**: Some JavaScript engines, like V8 in Chrome, use JIT compilation to optimize performance. However, this is a more advanced topic that requires knowledge of compiler design and optimization techniques.

Keep in mind that these alternatives are not typically used in production code, as they can introduce complexity and potential bugs. The "Pool Test" benchmark is primarily intended for educational purposes to demonstrate the trade-offs between different memory allocation strategies.

Related benchmarks:

Pool Test (version: 0)

Comparing performance of: A vs B

Created: 3 years ago by: Guest

Jump to the latest result

A

B

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):