var arr = new Float64Array(1024);
arr.fill(3301.42);
for (let i = 0; i < arr.length; i++) {
arr[i] = 3301.42;
}
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
native fill | |
loop |
Test name | Executions per second |
---|---|
native fill | 1664064.6 Ops/sec |
loop | 5419.4 Ops/sec |
Let's dive into the world of JavaScript microbenchmarks!
The provided JSON represents a benchmark test case, specifically designed to compare the performance of two approaches: using TypedArray.fill()
and iterating over an array using a loop.
What is being tested?
In this benchmark, we're measuring the time it takes to fill a Float64Array
with a specific value (3301.42) using two different methods:
fill()
method: This method uses the built-in fill()
function of the TypedArray
object, which is optimized for performance.Options being compared
The two options being compared are:
fill()
methodPros and cons of each approach:
fill()
method:fill()
method is insufficient.fill()
method due to the overhead of manual iteration.Library usage
In this benchmark, no libraries are explicitly mentioned. However, the Float64Array
object is a built-in JavaScript type that provides optimized performance for floating-point numbers.
Special JavaScript feature or syntax
The benchmark uses a specific value (3301.42) which might be relevant to certain use cases, such as scientific computing or numerical analysis. No special JavaScript features or syntax are mentioned in this particular benchmark.
Other alternatives
If you're interested in exploring alternative approaches for filling TypedArrays, you could consider using:
Uint8Array
with bitwise operations (e.g., using bitwiseFill()
).Buffer
objects from Node.js. typed-array-iterator
.Keep in mind that each of these alternatives may have different performance characteristics and trade-offs.
Benchmark preparation code
The provided Script Preparation Code sets up the benchmark environment by creating a new Float64Array
instance with 1024 elements:
var arr = new Float64Array(1024);
This ensures consistent results across different runs of the benchmark.