Benchmark: Test sin computing

HTML Preparation code:

<canvas id="myCanvas" width="400" height="400" style="border:1px solid #000;"></canvas>

Script Preparation code:

canvas = document.getElementById('myCanvas');
context = canvas.getContext('2d');

centerX = canvas.width / 2;
centerY = canvas.height / 2;
radius = 100; // Adjust this value to change the size of the circle

numLines = 60;

angleIncrement = (2 * Math.PI) / numLines;

cos={}
sin={}

  for (let i = 0; i < 60; i++) {
    var angle = i * angleIncrement;
    cos[angle] = Math.cos(angle);
    sin[angle] = Math.sin(angle);
  }

Tests:

Math
for (var i = 0; i < numLines; i++) { var angle = i*angleIncrement var x1 = centerX + radius * Math.cos(angle); var y1 = centerY + radius * Math.sin(angle); var x2 = centerX + (radius -10) * Math.cos(angle); var y2 = centerY + (radius -10) * Math.sin(angle); context.beginPath(); context.moveTo(x1, y1); context.lineTo(x2, y2); context.stroke(); }
cache
for (var i = 0; i < numLines; i++) { var angle = i*angleIncrement var x1 = centerX + radius * cos[angle]; var y1 = centerY + radius * sin[angle]; var x2 = centerX + (radius -10) * cos[angle]; var y2 = centerY + (radius -10) * sin[angle]; context.beginPath(); context.moveTo(x1, y1); context.lineTo(x2, y2); context.stroke(); }
With rotate
for (var i = 0; i < numLines; i++) { var angle = i*angleIncrement // Save the current canvas state context.save(); // Rotate the canvas context.translate(centerX, centerY); context.rotate(angle); // Draw the line from the center to the point on the circle context.beginPath(); context.moveTo(radius, 0); context.lineTo(radius - 10, 0); context.stroke(); // Restore the canvas state for the next iteration context.restore(); }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Math
cache
With rotate

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

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Autogenerated LLM Summary (model gemma2:9b, generated one year ago):

LLMs can make mistakes. Check important info.

This benchmark tests the performance of drawing lines on a canvas in different ways.

**Options Compared:**

* **Math:** This approach directly calculates trigonometric values (sine and cosine) using `Math.cos` and `Math.sin` for each line segment. This relies on the built-in JavaScript math functions.

* **cache:** This approach pre-calculates sine and cosine values for specific angles and stores them in an object (`cos` and `sin`). When drawing lines, it retrieves these pre-calculated values instead of recalculating them. This aims to improve performance by avoiding repeated calculations.

* **With rotate:**  This method uses the canvas's transformation capabilities. It rotates the canvas for each line segment, simplifying the coordinate calculation.

**Pros and Cons:**

* **Math:**
    * **Pros:** Simplest implementation.
    * **Cons:** Potentially slowest as it recalculates trigonometric values for every line segment.

* **cache:**
    * **Pros:** Faster than "Math" because it avoids repeated calculations of sine and cosine.
    * **Cons:** Requires additional memory to store pre-calculated values.

* **With rotate:**
    * **Pros:**  Potentially the fastest as it leverages canvas transformations to simplify geometry.
    * **Cons:** More complex implementation than the other approaches, as it involves managing canvas state (saving and restoring).

**Other Considerations:**

* The browser's JavaScript engine optimization plays a significant role in performance. Different engines might handle these methods differently.
*  The size of the circle (`radius`) influences the number of lines drawn, affecting the overall execution time. A larger radius means more lines and potentially longer execution times.

**Alternatives:**

* **Using a library like CanvasKit:** Specialized libraries designed for canvas rendering can often provide better performance optimizations than raw JavaScript.
* **Vector Graphics Formats (SVG):**  For static graphics or those with more complex shapes, SVG might be a more efficient choice as it uses vector representations rather than pixels.

Let me know if you have any other questions.

Related benchmarks:

Test sin computing (version: 0)

Comparing performance of: Math vs cache vs With rotate

Created: 2 years ago by: Guest

Jump to the latest result

Math

cache

With rotate

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

No previous run results

Autogenerated LLM Summary (model gemma2:9b, generated one year ago):