Benchmark: calculate time once vs multiple comparisons

Script Preparation code:

let sh = 10
let sm = 20
var dates = [];
for (let i = 0; i < 100000; i++){
  	let sigma = Math.floor(Math.random()*4);
  	if (sigma == 0){
    	dates.push({sh:sh,sm:sm,oeh:sh+1,oem:sm});
    }
  	else if (sigma == 1){
    	dates.push({sh:sh,sm:sm,oeh:sh-1,oem:sm});
    }
	else if (sigma == 2){
    	dates.push({sh:sh,sm:sm,oeh:sh,oem:sm+1});
    }
    else if (sigma == 3){
    	dates.push({sh:sh,sm:sm,oeh:sh,oem:sm-1});
    }
}

Tests:

Comparisons
dates.forEach(date => { if (date.sh > date.oeh || (date.sh == date.oeh && date.sm >= date.oem)){ } else if (date.sh < date.oeh || (date.sh == date.oeh && date.sm < date.oem)){ } })
Calculations
dates.forEach(date => { let sd = (date.sh * 60 + date.sm) * 60 * 1000; let oed = (date.oed * 60 + date.oem) * 60 * 1000; if (sd >= oed){ } else if (sd < oed){ } })

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Comparisons
Calculations

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.

Let's break down the provided benchmark definition and explain what is being tested, compared options, their pros and cons, and other considerations.

**Benchmark Definition**

The benchmark measures the performance of JavaScript code in two different scenarios:

1. **Comparisons**: The code iterates over an array of objects (`dates`) and performs comparisons between two properties (`sh` and `oeh`, and `sm` and `oem`). If a condition is met, no operation is performed (i.e., it's an "if" statement without any consequences).
2. **Calculations**: The code calculates the total number of milliseconds by multiplying the sum of `sh` and `sm` with 60 (minutes) and 1000 (milliseconds), then compares this value with another calculated value (`oed`) multiplied by 60 and 1000.

**Comparison of Options**

The benchmark defines two approaches to perform these comparisons:

1. **Comparisons**:
	* Pros: This approach is straightforward and easy to understand.
	* Cons: The conditionals might lead to more branching, which can result in slower performance due to the overhead of conditional checks.
2. **Calculations**:
	* Pros: By calculating the values upfront, this approach avoids the overhead of repeated comparisons. Additionally, it takes advantage of the fact that modern CPUs can perform calculations faster than comparisons.
	* Cons: This approach requires more memory allocation and arithmetic operations, which might lead to slower performance for smaller data sets or less powerful hardware.

**Library Usage**

The benchmark uses no external libraries other than `Math`.

**Special JS Features/Syntax**

There are a few special features used in the benchmark:

1. **Arrow functions**: The benchmark code uses arrow functions (`=>`) instead of traditional function expressions (e.g., `function() { ... }`). This can improve performance and readability.
2. **Template literals**: Some string concatenations use template literals (e.g., `\r\n${...}`) instead of the traditional `+` operator for string concatenation.

**Other Considerations**

1. **Data Generation**: The benchmark generates random data (`Math.random()`) to simulate real-world scenarios, ensuring a large dataset is used.
2. **Array Operations**: The benchmark uses array methods (e.g., `forEach`) instead of traditional loops, which can improve performance and readability for array operations.

**Alternatives**

If you were to rewrite this benchmark using alternative approaches:

1. Use a different comparison method, such as bit manipulation or bitwise operators, which might be faster.
2. Use more efficient data structures, like sparse arrays or sets, to reduce memory allocations and comparisons.
3. Consider using just-in-time (JIT) compilation or ahead-of-time (AOT) compilation for better performance optimization.

Keep in mind that the optimal approach will depend on your specific use case, hardware, and software environment.

Let me know if you'd like more information or have any questions!

Related benchmarks:

calculate time once vs multiple comparisons (version: 0)

Comparing performance of: Comparisons vs Calculations

Created: 3 years ago by: Guest

Jump to the latest result

Comparisons

Calculations

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):