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Math.sqrt() vs Fast inverse sqrt
(version: 0)
Comparing performance of:
1 / Math.sqrt() vs Fast inverse sqrt
Created:
5 years ago
by:
Guest
Jump to the latest result
Script Preparation code:
let v = 123.75; function test1() { let r; for(let i = 0; i < 2000; ++i) r = 1 / Math.sqrt(v); } function test2() { let r; for(let i = 0; i < 2000; ++i) r = Q_sqrt(v); } function Q_sqrt(num) { let i = []; let y = []; y[0] = num; i[0] = 0x5f375a86 - (i[0] >> 1); y[0] = y[0] * (1.5 * ((num * 0.5) * y[0] * y[0])); return y[0]; }
Tests:
1 / Math.sqrt()
test1();
Fast inverse sqrt
test2();
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
1 / Math.sqrt()
Fast inverse sqrt
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
3 months ago
)
User agent:
Mozilla/5.0 (X11; Linux x86_64; rv:147.0) Gecko/20100101 Firefox/147.0
Browser/OS:
Firefox 147 on Linux
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Test name
Executions per second
1 / Math.sqrt()
1361737.9 Ops/sec
Fast inverse sqrt
34188.4 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided JSON benchmark definition and explain what is being tested, compared, and considered. **Benchmark Definition** The benchmark tests two different ways to calculate the inverse square root of a number: 1. `Math.sqrt()`: The built-in JavaScript function `Math.sqrt()` is used to calculate the square root of a number. 2. "Fast inverse sqrt" ( alias: Q_sqrt ): A custom implementation of the inverse square root calculation, which uses a specific algorithm to avoid division. **Options compared** The two options are compared in terms of their execution time and performance on different devices. **Pros and Cons** 1. **Math.sqrt()** * Pros: + Widely supported and well-maintained. + Easy to implement and understand. * Cons: + May be slower than the custom implementation for large numbers or specific use cases. 2. "Fast inverse sqrt" (Q_sqrt) * Pros: + Optimized for performance, potentially faster than Math.sqrt() for certain use cases. + Can be used in situations where a more accurate inverse square root is required. * Cons: + Custom implementation requires manual optimization and may not be as widely supported. + Requires understanding of the custom algorithm and its potential pitfalls. **Library** The Q_sqrt function uses a library-like implementation, which appears to be a self-contained, optimized algorithm for calculating the inverse square root. The library is not explicitly named in the JSON, but it's likely that this is a proprietary or open-source implementation developed specifically for performance-critical applications. **Special JS feature or syntax** There are no special JavaScript features or syntax used in this benchmark. However, the Q_sqrt function relies on bitwise operations and exponentiation, which may be optimized by modern JavaScript engines to some extent. **Alternative approaches** Other alternative approaches to calculating the inverse square root could include: 1. Using a different mathematical library or framework that provides an optimized implementation. 2. Implementing a hybrid approach that combines the built-in Math.sqrt() function with custom optimization for specific use cases. 3. Utilizing GPU acceleration or other parallel processing techniques to improve performance. **Other considerations** When choosing between these two options, consider the following factors: 1. Performance requirements: If high-performance is critical, the Q_sqrt implementation might be a better choice. 2. Code maintainability and readability: The built-in Math.sqrt() function is generally easier to understand and maintain. 3. Compatibility and support: Ensure that both options are supported by your target platforms and browsers. Overall, this benchmark provides a useful comparison of two approaches to calculating the inverse square root in JavaScript, highlighting the trade-offs between built-in functions and custom optimizations.
Related benchmarks:
Fast Sqrt
Fast Sqrt 2234234
Inv Fast Sqrt
Fast Sqrt0
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