Benchmark: Module vs Math.floor

Script Preparation code:

var v = Math.random() * 100;
var t;

Tests:

Math.floor
t = v - Math.floor(v);
Modulo
t = v % 1;

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Math.floor
Modulo

Fastest: N/A

Slowest: N/A

Latest run results:

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

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Let's break down the provided benchmark and its components.

**What is tested:**

The provided JSON represents a JavaScript microbenchmark that compares two approaches to perform modulo calculations:

1. `Math.floor(v)`: This approach uses the built-in `Math.floor` function to truncate the decimal part of the number.
2. `v % 1`: This approach performs the modulo operation manually using the modulus operator (`%`) on floating-point numbers.

**Options compared:**

The benchmark compares these two approaches:

* **Approach 1: Using `Math.floor(v)`**: This is a built-in function in JavaScript that truncates the decimal part of a number.
* **Approach 2: Manual modulo calculation using `v % 1`**: This approach performs the modulo operation manually, which can be more efficient for certain use cases.

**Pros and Cons:**

**Using `Math.floor(v)`**:

Pros:

* Wide support across browsers and platforms
* Fast and optimized implementation
* Easy to read and maintain code

Cons:

* May not be suitable for applications requiring exact fractional results
* Can lead to rounding errors in certain calculations

**Manual modulo calculation using `v % 1`**:

Pros:

* More control over the calculation, allowing for precise fractional results
* Can be more efficient than built-in functions for certain use cases

Cons:

* Less supported across browsers and platforms ( Firefox 112 is the only tested browser)
* Requires manual handling of decimal arithmetic, which can lead to errors if not done correctly
* May be slower due to overhead of manual calculations

**Other considerations:**

* The benchmark uses a random value `v` generated between 0 and 100, which helps ensure consistent results across executions.
* The test cases are designed to measure the execution time of each approach, allowing for a fair comparison.

**Library usage:**

There is no library explicitly mentioned in the provided JSON. However, it's worth noting that some JavaScript engines may use additional libraries or built-in functions that could affect the performance of these calculations.

**Special JS features or syntax:**

None are specifically mentioned in this benchmark.

**Alternative approaches:**

Other approaches to perform modulo calculations include:

* Using `Number.EPSILON` for a more accurate result
* Implementing a custom binary search algorithm for fast modulo operations (not tested in this benchmark)
* Utilizing hardware acceleration for faster arithmetic operations (not applicable in JavaScript)

Keep in mind that the choice of approach depends on specific requirements and constraints, such as performance, precision, and compatibility.

Related benchmarks:

Module vs Math.floor (version: 0)

Comparing performance of: Math.floor vs Modulo

Created: 9 years ago by: Registered User

Jump to the latest result

Math.floor

Modulo

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):