Toggle navigation
MeasureThat.net
Create a benchmark
Tools
Feedback
FAQ
Register
Log In
Benchmark Clamp 2221134b-d084-4650-87ae-9a71a46875a0
(version: 0)
Benchmark multiple clamp implementations
Comparing performance of:
branching if vs lodash vs Branchless multiply vs Ternary clamp vs min max clamp
Created:
2 years ago
by:
Guest
Jump to the latest result
Script Preparation code:
function branchingClamp(min, max, x) { if (x < min) return min; if (x > max) return max; return x; } function lodashClamp(number, lower, upper) { number = +number lower = +lower upper = +upper lower = lower === lower ? lower : 0 upper = upper === upper ? upper : 0 if (number === number) { number = number <= upper ? number : upper number = number >= lower ? number : lower } return number } function branchlessMulClamp(min, max, x) { const isLow = +(x < min); const isHigh = +(x > max); return ( (isLow * min) | (isHigh * max) | (+!(isLow ^ isHigh) * x) ); } function ternaryClamp(min, max, x) { return x < min ? min : x > max ? max : x; } function minmaxClamp(min, max, x) { return Math.min(max, Math.max(min, x)); }
Tests:
branching if
for (let i = 0; i <= 100; i++) { branchingClamp(0, 100, i); }
lodash
for (let i = 0; i <= 100; i++) { lodashClamp(0, 100, i); }
Branchless multiply
for (let i = 0; i <= 100; i++) { branchlessMulClamp(0, 100, i); }
Ternary clamp
for (let i = 0; i <= 100; i++) { ternaryClamp(0, 100, i); }
min max clamp
for (let i = 0; i <= 100; i++) { minmaxClamp(0, 100, i); }
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (5)
Previous results
Fork
Test case name
Result
branching if
lodash
Branchless multiply
Ternary clamp
min max clamp
Fastest:
N/A
Slowest:
N/A
Latest run results:
No previous run results
This benchmark does not have any results yet. Be the first one
to run it!
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
I'll break down the provided JSON for you. **Benchmark Definition** The benchmark measures the performance of four different clamp functions in JavaScript: 1. `branchingClamp`: A traditional if-else approach to clamping values within a range. 2. `lodashClamp` (from the Lodash library): A more complex, function-based approach that uses explicit type conversions and conditional statements. 3. `branchlessMulClamp`: An optimized, branchless implementation using bitwise operations to clamp values. 4. `ternaryClamp`: A simple, ternary operator-based approach to clamping values. **Options Compared** The benchmark compares the performance of these four approaches on a uniform range of input values (`i` from 0 to 100). **Pros and Cons** 1. **Branching Clamp (traditional)**: * Pros: Easy to understand and implement. * Cons: Can be slower due to branch prediction errors. 2. **Lodash Clamp (complex)**: * Pros: More robust and maintainable, thanks to the Lodash library's validation and type checking features. * Cons: May be slower due to unnecessary overhead from explicit type conversions. 3. **Branchless Mul Clamp**: * Pros: Optimized for performance using bitwise operations, which can reduce branch prediction errors. * Cons: Requires a good understanding of bitwise operations and might be harder to implement. 4. **Ternary Clamp (simple)**: * Pros: Easy to understand and implement, with minimal overhead. * Cons: Might not be as efficient as the branchless implementation. **Library and Special JS Features** The benchmark uses the Lodash library for its `lodashClamp` function. Lodash is a popular JavaScript utility library that provides various functions for common tasks, such as array manipulation, data formatting, and more. There are no special JavaScript features or syntax used in this benchmark. **Alternatives** If you're interested in exploring alternative clamp implementations or optimizing the performance of your own clamping functions, consider the following: * Other optimized clamp implementations, like `Math.min` and `Math.max`, which can be faster but might not provide the same level of control as custom implementations. * More advanced optimization techniques, such as using SIMD instructions or compiler-specific optimizations. Keep in mind that the best approach will depend on your specific use case and performance requirements.
Related benchmarks:
Ramda vs. Lodash 3
Ramda vs. Lodash (forked)
Ramda vs. Lodash (Fixed & IIFE updated zero)
Lodash FP vs Lodash vs Ramda vs Native 2020-12-16
Ramda vs. Lodash 2021
Comments
Confirm delete:
Do you really want to delete benchmark?