Benchmark: trig funcs vs trigids

Script Preparation code:

var N = 1000000;
var x = new Float32Array(N);
var y = new Float32Array(N);
var theta = new Float32Array(N);

for (var i = 0; i < N; ++i) {
	x[i] = 100* Math.random();
	y[i] = 100* Math.random();
}
for (var i = 0; i < N; ++i) {
	theta[i] = 2 * Math.PI * Math.random();
}

Tests:

cosid
for (var i = 0; i < N; ++i) { costheta = Math.cos(theta[i]); sintheta = Math.sin(theta[i]); }
trigid
for (var i = 0; i < N; ++i) { costheta = Math.cos(theta[i]); sintheta = Math.sqrt(Math.max(0, 1 - costheta * costheta)); }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
cosid
trigid

Fastest: N/A

Slowest: N/A

Latest run results:

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

User agent: Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/95.0.4638.69 Safari/537.36

Browser/OS: Chrome 95 on Linux

View result in a separate tab

Test name	Executions per second
cosid	1.3 Ops/sec
trigid	0.9 Ops/sec

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

LLMs can make mistakes. Check important info.

Let's dive into the world of JavaScript microbenchmarks.

**Benchmark Definition**

The provided JSON defines a benchmark named "trig funcs vs trigids" that tests the performance of two different approaches to compute trigonometric functions: `cos` and `sin`. The benchmark consists of three steps:

1. Preparation code: This step initializes arrays to store random values for `x`, `y`, and `theta`.
2. Script preparation code: This step generates random values for `x` and `y`, and then computes the corresponding `theta` values using `Math.PI * 2`.
3. Trigonometric function evaluation: This step evaluates the performance of two approaches:
	* `cosid`: Uses the `cos` function to compute `costheta` and `sintheta` directly.
	* `trigid`: Uses the `sqrt` function to approximate `sintheta` using the identity `sin(theta) = sqrt(1 - cos^2(theta))`.

**Options Compared**

The benchmark compares the performance of two options:

1. **Direct trigonometric functions (`cos` and `sin`)**: These are the built-in JavaScript functions that compute trigonometric values directly.
2. **Approximation using trigonometric identities (`trigid`)**: This approach uses mathematical formulas to approximate trigonometric values, rather than computing them directly.

**Pros and Cons**

Here's a brief summary of the pros and cons of each approach:

* **Direct trigonometric functions (`cos` and `sin`)**
	+ Pros: High accuracy, straightforward implementation.
	+ Cons: May be slower due to the overhead of built-in functions, potential rounding errors.
* **Approximation using trigonometric identities (`trigid`)**
	+ Pros: Potential for better performance, reduced overhead compared to direct functions.
	+ Cons: Requires careful implementation to maintain accuracy, may not be suitable for all use cases.

**Library and Purpose**

The `sqrt` function is a built-in JavaScript function that computes the square root of a number. It's used in the `trigid` approach to approximate the `sintheta` value using the trigonometric identity.

**Special JS Features or Syntax**

None mentioned in this benchmark.

**Other Alternatives**

If you're interested in exploring alternative approaches, here are some other options:

* **Use a Just-In-Time (JIT) compiler**: Some JavaScript engines, like SpiderMonkey and V8, use JIT compilation to optimize performance. You could try rewriting your benchmark to take advantage of these optimizations.
* **Explore specialized libraries**: There are libraries like `mathjs` or `plato` that provide optimized mathematical functions for JavaScript. These might offer better performance than the built-in `cos` and `sin` functions.
* **Use a Just-In-Time (JIT) compiler with a different engine**: If you're interested in exploring other engines, you could try running your benchmark on a platform like Node.js or Firefox.

Keep in mind that each alternative approach may require significant changes to your benchmark code. Be sure to carefully evaluate the pros and cons of each option before making any modifications.

Related benchmarks:

trig funcs vs trigids (version: 0)

Which of the built-in trig functions are fastest? slowest?

Comparing performance of: cosid vs trigid

Created: 2 years ago by: Guest

Jump to the latest result

cosid

trigid

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

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