Analyzing critical code paths for optimal performance

There is a function that accepts two arguments and an optional third argument. The function should return true if the first argument is greater than the second, false if not, unless the third argument is true, in which case it should return true if the first argument is equal to or greater than the second.

The types of arguments passed to the function may vary and may not always make sense. The function must follow JavaScript's behavior for comparing the arguments.

I have implemented two functions, expecting the second one to be faster, but benchmarks show that the first function is actually performing 30-35% faster.

How can I identify the slow code paths within each function? How can I determine why the second function is slower?

Here is my benchmark:

[Benchmark code here]

Edit:

I made some improvements to the second function to increase its speed slightly, but it still lags behind the first function.

This is the updated version of the second function:

[Updated second function code here]

Answer №1

Your two functions have different return values.

gtHelper(true, 'string')         // true
gtHelper2(true, 'string')        // false

gtHelper('string', new Date())  // undefined
gtHelper2('string', new Date()) // false

gtHelper(new Date(), 'string')  // undefined
gtHelper2(new Date(), 'string') // false

If you can align the behavior of these functions, you will likely see more consistent results.

It's important to note that switch may not perform consistently across all browsers. Refer to the ECMA spec on switch for insights into why optimizing this feature can be challenging. Firefox has dedicated effort to improving their switch implementation, but there haven't been similar reports for V8 engine.

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