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Testerinho
(version: 0)
Comparing performance of:
No if vs If
Created:
6 years ago
by:
Guest
Jump to the latest result
Script Preparation code:
res = 2048;
Tests:
No if
for(let x = 0 ; x <= res*4 ; x+=res){ for (let y = 0 ; y <= res*3; y+=res){ for(let i = 0 ; i < res; i++){ for(let j = 0 ; j < res ; j++){ let a = res*i*j; let b= Math.random()*255; let c= Math.random()*255; let d= Math.random()*255; let e= 255; } } } }
If
for(let x = 0 ; x <= res*4 ; x+=res){ for (let y = 0 ; y <= res*3; y+=res){ if ( x >= res && x < 2*res || y >= res && y < 2*res) { for(let i = 0 ; i < res; i++){ for(let j = 0 ; j < res ; j++){ let a = res*i*j; let b= Math.random()*255; let c= Math.random()*255; let d= Math.random()*255; let e= 255; } } } } }
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
No if
If
Fastest:
N/A
Slowest:
N/A
Latest run results:
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
I'll break down the provided benchmark and explain what's being tested. **Benchmark Overview** The benchmark is designed to measure the performance of JavaScript loops, specifically comparing two approaches: 1. **Loop without conditional statements**: The first test case, "No if", measures the execution time of a nested loop with no conditional statements. 2. **Loop with conditional statements**: The second test case, "If ", measures the execution time of a nested loop with conditional statements. **Options Compared** The benchmark compares the performance of two different approaches: 1. **Loop without conditional statements**: This approach consists of three nested loops that iterate over a fixed range of values (res \* i \* j). The loop has no conditional statements, and all operations are executed regardless of the input values. 2. **Loop with conditional statements**: This approach is similar to the first one but includes an if statement that filters out certain iterations based on the values of x and y. **Pros and Cons** **Loop without Conditional Statements:** * Pros: * Simplifies the loop structure, reducing the complexity of the code. * Can be beneficial for performance-critical loops when the number of operations is high. * Cons: * May lead to unnecessary computations if not all iterations are valid. **Loop with Conditional Statements:** * Pros: * Reduces unnecessary computations by filtering out invalid iterations. * Can improve performance in scenarios where only a subset of iterations are necessary. * Cons: * Adds complexity to the loop structure, potentially increasing overhead due to conditional checks. * May lead to slower performance if the number of valid iterations is small compared to the total. **Other Considerations** 1. **Library Usage**: The benchmark uses JavaScript's built-in `Math.random()` function to generate random numbers for the loop variables (b, c, d, and e). This is a common practice in benchmarking JavaScript code. 2. **Device and Browser Variability**: The benchmark measures performance on different devices (Desktop) and browsers (Firefox 69), which helps to ensure the results are representative of various real-world scenarios. **Special JS Features or Syntax** None mentioned explicitly, but the use of template literals (`\r\n`) in the `Benchmark Definition` json suggests that the JavaScript engine being tested supports this feature. **Alternatives** Other alternatives for measuring loop performance could include: 1. **Parallelized loops**: Running multiple instances of the loop concurrently to measure parallelism benefits. 2. **Different iteration schemes**: Exploring alternative iteration strategies, such as using iterators or generators, to optimize performance. 3. **Loops with varying workloads**: Testing loops with different input data distributions (e.g., uniform vs. skewed) to evaluate their adaptability to various real-world scenarios. Keep in mind that the choice of benchmarking approach depends on the specific use case and the desired outcome.
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