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Math.round vs bitRound
(version: 0)
Comparing performance of:
round vs bitRound vs roundScale
Created:
2 years ago
by:
Registered User
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Script Preparation code:
window.roundScale = (val, scale) => { return Math.round(val * scale) / scale; }; window.round = (val, precision) => { const m = 10 ** (precision || 0); return Math.round(val * m) / m; }; window.bitRound = (val, precision) => { const m = 10 ** (precision || 0); return ((((val * m) + 0.5) << 1) >> 1) / m; };
Tests:
round
round(Math.random() * 100, 3)
bitRound
bitRound(Math.random() * 100, 3)
roundScale
roundScale(Math.random() * 100, 1000)
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (3)
Previous results
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Test case name
Result
round
bitRound
roundScale
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 benchmark and explain what's being tested, compared, and their pros and cons. **Benchmark Definition** The benchmark is designed to compare three different rounding algorithms: 1. `Math.round`: a built-in JavaScript function that rounds a number to the nearest integer. 2. `bitRound`: a custom algorithm implemented in the script preparation code. This function uses bit manipulation to round a number to a specified precision. 3. `roundScale`: another custom algorithm implemented in the script preparation code. This function scales the input value by a factor before rounding. **Script Preparation Code** The script preparation code defines three functions: * `window.roundScale = (val, scale) => { return Math.round(val * scale) / scale; }`: This function scales the input value by the specified factor and then rounds it using the built-in `Math.round` function. * `window.round = (val, precision) => { const m = 10 ** (precision || 0); return Math.round(val * m) / m; }`: This function rounds the input value to a specified precision by scaling it to a power of 10 and then rounding it using `Math.round`. * `window.bitRound = (val, precision) => { const m = 10 ** (precision || 0); return ((((val * m) + 0.5) << 1) >> 1) / m; }`: This function uses bit manipulation to round the input value to a specified precision. **Custom Library: Mathjs** The `Math.round` and `roundScale` functions use Math.js, a lightweight mathematics library for JavaScript. Math.js provides an implementation of various mathematical functions, including rounding. In this benchmark, Math.js is used to provide a high-precision rounding algorithm. **Pros and Cons of Each Approach** 1. **Math.round**: A simple and widely supported function, but it can lead to floating-point arithmetic issues due to its use of binary representation. 2. **bitRound**: This custom algorithm uses bit manipulation, which can be faster than the built-in `Math.round` function in some cases. However, it may not work correctly for all edge cases or values. 3. **roundScale**: This function scales the input value before rounding, which can improve precision. However, it relies on Math.js, and its performance may vary depending on the specific implementation. **Other Considerations** * The benchmark uses a simple test case with a random value between 0 and 100, rounded to 3 decimal places. * The number of executions per second is used as the primary metric for comparison. This can be affected by various factors, such as CPU clock speed, memory bandwidth, or algorithmic complexity. **Alternatives** If the benchmark were to be modified or extended, alternatives could include: 1. **using other rounding algorithms**, such as Banker's Rounding or Round Half to Even. 2. **Adding more test cases**, including edge cases or values that might affect performance, like very large or very small numbers. 3. **Using different metrics** for comparison, such as average time or throughput. Note: This analysis assumes a basic understanding of JavaScript and its built-in functions. If you have any further questions or need additional clarification, feel free to ask!
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