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Math.round vs bitRound v2
(version: 0)
Comparing performance of:
roundScale vs roundPow vs bitRoundPow
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.roundPow = (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:
roundScale
roundScale(Math.random() * 100, 1000)
roundPow
roundPow(Math.random() * 100, 3)
bitRoundPow
bitRound(Math.random() * 100, 3)
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (3)
Previous results
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Test case name
Result
roundScale
roundPow
bitRoundPow
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
**Benchmark Overview** The provided JSON represents a JavaScript benchmark on the MeasureThat.net website. The benchmark compares three rounding functions: `roundScale`, `roundPow`, and `bitRound`. Each function is designed to round a number to a specific precision. **Rounding Functions** 1. **`roundScale`**: This function takes two arguments, `val` (the value to be rounded) and `scale` (the scaling factor). It rounds `val` to the nearest multiple of `scale`, then divides by `scale`. The formula used is `return Math.round(val * scale) / scale;`. 2. **`roundPow`**: This function takes two arguments, `val` (the value to be rounded) and `precision` (the precision of the rounding). It rounds `val` to a power of 10 based on the specified precision. The formula used is `return Math.round(val * m) / m;`, where `m = 10 ** (precision || 0);`. 3. **`bitRound`**: This function takes two arguments, `val` (the value to be rounded) and `precision` (the precision of the rounding). It uses bitwise operations to round `val` to a power of 10 based on the specified precision. The formula used is `return ((((val * m) + 0.5) << 1) >> 1) / m;`, where `m = 10 ** (precision || 0);`. **Comparison and Considerations** The benchmark compares these three rounding functions for different precisions (3, 2, or no precision). The results show that: * `bitRound` is generally the fastest of the three functions. * `roundScale` is slower than `bitRound`, but faster than `roundPow`. * `roundPow` has consistent performance across different precisions. The pros and cons of each approach are: * **`bitRound`**: + Pros: Fastest, most efficient use of bitwise operations. + Cons: May not be suitable for all use cases (e.g., non-integer values). * **`roundScale`**: + Pros: Simple implementation, easy to understand. + Cons: Slower than `bitRound`, less efficient. * **`roundPow`**: + Pros: Consistent performance across different precisions, simple implementation. + Cons: May not be as fast as `bitRound`, relies on power of 10 calculations. **Library and Special JS Features** There are no libraries used in this benchmark. The tests only rely on standard JavaScript features. **Special JS Feature (None)** No special JavaScript features are mentioned or used in this benchmark. **Alternatives** For similar rounding tasks, you may consider using other algorithms, such as: * **Rounding modes**: Some libraries and implementations offer different rounding modes (e.g., `ROUND_HALF_UP`, `ROUND_HALF_DOWN`) that can be used instead of the three functions here. * **Arithmetic-geometric mean (AGM)**: A mathematical technique for approximating roots or powers, which can be applied to rounding tasks. However, for simple rounding cases like this benchmark, the above algorithms may not offer significant performance benefits.
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