var size = 1024;
var typedArray = new Float64Array(size);
var array = new Array(size);
for(let i = 0; i < size; i++) {
typedArray[i] = Math.random();
array[i] = Math.random();
}
const a = typedArray[Math.round(Math.random() * size)]
const a = array[Math.round(Math.random() * size)]
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
typedArray | |
array |
Test name | Executions per second |
---|---|
typedArray | 2445493504.0 Ops/sec |
array | 563880512.0 Ops/sec |
Let's dive into the world of JavaScript microbenchmarks!
What is being tested?
The provided JSON represents two test cases that compare the performance of accessing elements in typed arrays versus simple arrays. Specifically, the tests measure how fast it is to retrieve an element from each type of array using a mathematical expression.
Options compared:
There are two options being compared:
Float64Array
or IntArray
. They offer several benefits over traditional JavaScript arrays, including:Pros and Cons:
Typed Arrays:
Pros:
Cons:
Simple Arrays:
Pros:
Cons:
Other Considerations:
When choosing between typed arrays and simple arrays, consider the specific requirements of your project. If you're working with numerical computations or need improved memory efficiency, typed arrays might be a better choice. However, if compatibility is crucial or performance isn't a top priority, simple arrays may be sufficient.
Library Used:
The Float64Array
constructor is used in the benchmark to create a typed array of 64-bit floating-point numbers. This library provides an efficient way to work with large numerical datasets.
Special JS Feature/Syntax:
None mentioned in this specific benchmark. However, some other notable features and syntax include:
and
const`: Block-scoped variables that ensure variable hoisting is only executed once.: Simplified function expressions that eliminate the need for explicit
function` declarations.Alternative Benchmarking Frameworks:
If you're interested in exploring alternative benchmarking frameworks, consider the following options:
These frameworks offer features like automatic test case generation, parallel execution, and detailed profiling, making it easier to write efficient and reliable benchmarks.