Benchmark: Custom Test Benchmark for Structs

Script Preparation code:

var size = 254;
var buf = new ArrayBuffer(size);
var view = new DataView(buf);
var byte = new Uint8Array(buf);
var inte = new Uint16Array(buf);

var data = [];

for (let i = 0; i < size; i++) {
	data[i] = 100*Math.random();
}

Tests:

DataView
for (let i; i < size; i+=3) { view.setUint8(i, data[i]); view.setUint16(i+1, data[i]) }
Uint8 and Uint16 by byte
for (let i; i < size; i++) { byte[i] = data[i]; inte[i] = data[i]; }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
DataView
Uint8 and Uint16 by byte

Fastest: N/A

Slowest: N/A

Latest run results:

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Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):

LLMs can make mistakes. Check important info.

Let's break down the provided benchmark and its test cases.

**Benchmark Purpose**
The benchmark is designed to compare the performance of two approaches for setting values in a byte array: using `DataView` and using separate arrays for `Uint8` and `Uint16` values.

**Options Compared**

1. **DataView**: This approach uses the `DataView` API, which provides a way to access and manipulate binary data in JavaScript.
2. **Uint8 and Uint16 by byte**: This approach uses separate arrays for `Uint8` and `Uint16` values, and manually sets each value individually.

**Pros and Cons of Each Approach**

1. **DataView**:
	* Pros: Efficient use of memory, as it allows setting multiple values in a single operation.
	* Cons: May have overhead due to the abstraction layer provided by `DataView`, which can impact performance.
2. **Uint8 and Uint16 by byte**:
	* Pros: Simple and straightforward approach, with no additional memory or abstraction overhead.
	* Cons: Requires more memory usage (one array for each type), as well as more manual work to set each value individually.

**Library and Its Purpose**
The `DataView` API is a built-in JavaScript library that provides a way to access and manipulate binary data in arrays. It allows setting values at specific offsets, making it efficient for working with binary data.

**Special JS Feature or Syntax (None)**
There are no special JavaScript features or syntax used in this benchmark.

**Other Considerations**

* **Memory Usage**: The `Uint8 and Uint16 by byte` approach requires more memory usage due to the separate arrays.
* **Overhead**: The `DataView` approach may have overhead due to the abstraction layer, which can impact performance.
* **Cache Locality**: Setting values in a contiguous block using `DataView` might take advantage of cache locality, improving performance.

**Alternative Approaches**

1. **Using WebAssembly**: This benchmark could be rewritten to use WebAssembly, which provides a more efficient way to work with binary data in JavaScript.
2. **Native Compilation**: The benchmark could be compiled to native code using tools like Emscripten or V8, which would provide the best performance possible.
3. **Other APIs**: Alternative APIs like `Float32Array` or `Int32Array` could be used instead of `Uint8` and `Uint16`.

Overall, this benchmark provides a good comparison between two approaches for setting values in a byte array, highlighting the trade-offs between memory usage, overhead, and performance.

Related benchmarks:

Custom Test Benchmark for Structs (version: 0)

Testing wether if a struct will be better suited for the job

Comparing performance of: DataView vs Uint8 and Uint16 by byte

Created: 5 years ago by: Guest

Jump to the latest result

DataView

Uint8 and Uint16 by byte

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

No previous run results

Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):