Benchmark: Canvas gradient perf

HTML Preparation code:

<canvas id="canvas1" width="400" height="400"></canvas>

<style>
 canvas { border: 1px solid black; }
</style>

<script>
var canvas = document.getElementById('canvas1');
var ctx = canvas.getContext('2d');

var grad = ctx.createLinearGradient(0, 0, 4, 256);
grad.addColorStop(0, 'red');
grad.addColorStop(0.5, 'rgba(0,0,255,0.5)');
grad.addColorStop(1, 'lime');

</script>

Tests:

Create
for (var i = 0; i < 10; i++) { var grad2 = ctx.createLinearGradient(0, 0, 4, 256); grad2.addColorStop(0, 'red'); grad2.addColorStop(0.5, 'rgba(0,0,255,0.5)'); grad2.addColorStop(1, 'lime'); ctx.fillStyle = grad2; ctx.fillRect(0,0,4,256); }
reuse
for (var i = 0; i < 10; i++) { ctx.fillStyle = grad; ctx.fillRect(0,0,4,256); }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Create
reuse

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

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

LLMs can make mistakes. Check important info.

Let's break down the provided benchmark definition and test cases to understand what's being tested, compared, and their pros/cons.

**Benchmark Definition**

The benchmark measures the performance of creating and using linear gradients on a 2D canvas context in JavaScript. The gradient is created with multiple color stops and then used to fill rectangles in a loop.

**Script Preparation Code**

The script preparation code sets up the HTML document with a canvas element and styles it. It also creates a 2D drawing context for the canvas using `ctx = canvas.getContext('2d')`. A linear gradient is created using `grad = ctx.createLinearGradient(0, 0, 4, 256)`, which has multiple color stops defined.

**Html Preparation Code**

The HTML preparation code includes:

* An empty `<canvas>` element with a width and height.
* Styles to add a border around the canvas.

**Test Cases**

There are two test cases:

1. **Create**
This test creates a new linear gradient for each iteration of the loop using `var grad2 = ctx.createLinearGradient(0, 0, 4, 256);`. This means a new gradient object is created and added to the canvas context for each rectangle drawn.
2. **Reuse**
This test uses the same linear gradient defined in the script preparation code (`grad`) and reuses it for all rectangles drawn in the loop.

**Comparison of Options**

The two options being compared are:

* Creating a new linear gradient for each iteration (Create).
* Reusing an existing linear gradient (Reuse).

**Pros/Cons of Each Approach:**

1. **Create**
	* Pros:
		+ Avoids potential issues with shared state and garbage collection.
		+ Allows for easier modification or replacement of gradients without affecting the entire benchmark.
	* Cons:
		+ Increases overhead due to creating new gradient objects, which can be expensive in terms of memory allocation and garbage collection.
2. **Reuse**
	* Pros:
		+ Reduces overhead due to not creating new gradient objects.
		+ Can lead to more consistent results if the benchmark is run multiple times.
	* Cons:
		+ May lead to issues with shared state, especially if the gradient object is modified or replaced unexpectedly.
		+ Makes it harder to modify or replace gradients without affecting the entire benchmark.

**Library and Purpose**

There is no specific library mentioned in the benchmark definition. However, the `createLinearGradient()` method is part of the 2D drawing context API provided by the HTML5 specification.

**Special JS Feature/Syntax**

None are explicitly mentioned. However, note that this benchmark may be sensitive to issues related to JavaScript's garbage collection and shared state management.

**Alternatives**

Other alternatives for creating linear gradients could include:

* Using a library like `canvas-gradient` or `gradient-js`, which provide optimized implementations of gradient creation.
* Utilizing WebGL or other graphics APIs that provide more efficient ways to create gradients.
* Experimenting with different caching mechanisms or optimization techniques to reduce the overhead of gradient creation.

Keep in mind that these alternatives may not be relevant depending on the specific use case and requirements of your benchmark.

Related benchmarks:

Canvas gradient perf (version: 0)

Comparing performance of: Create vs reuse

Created: 8 years ago by: Guest

Jump to the latest result

Create

reuse

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):