Toggle navigation
MeasureThat
.net
Create a benchmark
Tools
Feedback
FAQ
Register
Log In
math.abs vs branchless absolute val
(version: 0)
Comparing performance of:
branchless vs native
Created:
4 years ago
by:
Guest
Go to the latest result
Script Preparation code:
eval(""); var abs = Math.abs, x = -2131.1283712;
Tests:
branchless
eval(""); return (x < 0) * -x + (x >= 0) * x;
native
eval(""); return abs(x);
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
Fork
Test case name
Result
branchless
native
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
one month ago
)
User agent:
Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/149.0.0.0 Safari/537.36 Edg/149.0.0.0
Browser/OS:
Chrome 149 on Windows
View result in a separate tab
Embed
Embed Benchmark Result
<iframe src="https://measurethat.net/Embed?id=629893" width="100%" height="500px"></iframe>
native
16.8M/s
branchless
16.6M/s
View exact numbers
Test name
Executions per second
✓
native
16,805,134 Ops/sec
branchless
16,645,699 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the benchmark and its components. **Benchmark Definition** The benchmark definition is provided in JSON format, which includes: * `Name`: A unique identifier for the benchmark ("math.abs vs branchless absolute val"). * `Description`: An optional description of the benchmark (null in this case). * `Script Preparation Code`: The JavaScript code that sets up the environment before running the benchmark. In this case, it uses `eval()` to create a scope and assigns the `abs` variable to the result of calling `Math.abs(x)`. It also initializes the `x` variable with a negative value. * `Html Preparation Code`: Another optional section for HTML preparation code, which is empty in this case. **Individual Test Cases** The benchmark has two test cases: 1. **Branchless**: The first test case has a benchmark definition that uses a branchless implementation of absolute value calculation: `(x < 0) * -x + (x >= 0) * x`. This approach avoids using the `Math.abs()` function and instead uses bitwise operations to achieve the same result. 2. **Native**: The second test case uses the native `Math.abs()` function. **Options Compared** The two test cases compare: * Branchless vs Native: These are the two approaches being tested for absolute value calculation in JavaScript. **Pros and Cons of Each Approach** Branchless approach: Pros: * Potentially faster execution speed due to fewer function calls * May be more cache-friendly Cons: * More complex bitwise operations can be harder to read and maintain * Might not work correctly if the input value is NaN (Not a Number) or Infinity Native `Math.abs()` approach: Pros: * Widely supported and well-documented, making it easier to understand and implement * Works correctly with all numerical types in JavaScript * Typically more efficient than branchless implementations due to compiler optimizations Cons: * May incur a small overhead due to the function call and potential caching issues * Might not be as fast as optimized branchless implementations for specific use cases **Library Used** There is no explicit library used in this benchmark. However, it's worth noting that `Math.abs()` is a built-in JavaScript method. **Special JS Features or Syntax** This benchmark does not explicitly use any special JavaScript features or syntax beyond what's required to run the test cases. The branchless implementation uses bitwise operations, which are a standard part of the language. **Alternatives** Other alternatives for implementing absolute value calculation in JavaScript include: * Using the `Math.abs()` function with a fallback for older browsers that may not support it * Implementing an absolute value function from scratch using bitwise operations or other methods * Utilizing third-party libraries or polyfills to provide a more robust and efficient implementation Keep in mind that these alternatives might not be as well-suited for every use case, especially if performance is a top priority.
Related benchmarks
math.abs vs branchless absolute val 2
pow vs abs
Comments
Confirm delete:
Do you really want to delete benchmark?