var p = [1,2,4,8,16,32,64,128,256,512];
for (var n=0;n<10;n++) {
var s = (Math.floor(65*0.098)+65)*p[n];
};
for (var n=0;n<10;n++) {
var s = (Math.floor(65*0.098)+65)*Math.pow(2,n);
};
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
Outside | |
Inside |
Test name | Executions per second |
---|---|
Outside | 19080820.0 Ops/sec |
Inside | 11790918.0 Ops/sec |
I'd be happy to explain the benchmark and its components.
Benchmark Definition
The provided JSON represents a JavaScript microbenchmark test case. It contains two essential pieces of information:
Script Preparation Code and Html Preparation Code
The JSON doesn't provide any script preparation code or HTML preparation code. This suggests that:
Test Cases
There are two individual test cases:
for
loop with an array index (n
) to calculate the result.for
loop, without using an array or any external data structure.Library Usage
Neither of the test cases explicitly uses a library. However, it's worth noting that both tests use built-in JavaScript functions and operators (e.g., Math.floor
, *
operator).
Special JS Features/Syntax
There are no special JavaScript features or syntax used in these test cases.
Pros and Cons of Approaches
The two approaches differ in their performance:
n
) can lead to slower performance due to the overhead of array lookups and indexing.for
loop without using an external data structure might result in faster execution, as it avoids unnecessary iterations.Pros and Cons
Other alternatives could include:
Array.prototype.forEach
or other array methods instead of traditional loops.Please note that these alternatives would depend on the specific requirements and constraints of the project, as well as the expertise of the development team.
In conclusion, the "Powers of two" benchmark tests whether using an array or a loop leads to faster execution in JavaScript. The results can provide valuable insights into the performance characteristics of different approaches, helping developers make informed decisions about their code's optimization.