Benchmark: uint32 DataView vs Direct Calculate

Script Preparation code:

var bytes = new Uint8Array([1,2,3,4])
var offset = 0

Tests:

DataView
for (var i = 0; i < 10000; i++){ const x = new DataView(bytes.buffer, bytes.byteOffset).getUint32(offset) }
Direct
for (var i = 0; i < 10000; i++){ const x = ( bytes[offset] << 24 | bytes[offset + 1] << 16 | bytes[offset + 2] << 8 | bytes[offset + 3] ) }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
DataView
Direct

Fastest: N/A

Slowest: N/A

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

LLMs can make mistakes. Check important info.

**Benchmark Overview**

The provided benchmark measures the performance difference between using a `DataView` object to access a `Uint32Array` versus performing direct bitwise operations on the array.

**What is tested?**

* Two approaches:
	+ **DataView**: Using a `DataView` object to access and manipulate a `Uint32Array`. The test case creates a `DataView` instance, sets its offset, and then uses it to get the value of a 32-bit unsigned integer at that offset.
	+ **Direct**: Performing direct bitwise operations on the array itself. The test case extracts the individual bytes from the array, performs the necessary bitwise shifts and masks, and then combines them to form a 32-bit unsigned integer.

**Options compared**

* `DataView` vs Direct bitwise operations
* Performance differences between these two approaches

**Pros and Cons of each approach:**

* **DataView**:
	+ Pros:
		- Provides a convenient and safe way to access and manipulate array data.
		- Reduces the risk of common errors like buffer overflows or underflows.
	+ Cons:
		- Can be slower due to the overhead of creating and managing the `DataView` object.
		- May not be as efficient for large arrays or high-performance applications.
* **Direct bitwise operations**:
	+ Pros:
		- Typically faster than using a `DataView` object, especially for large arrays.
		- Can be more efficient for high-performance applications or those requiring direct access to array data.
	+ Cons:
		- Requires manual management of buffer boundaries and indexing, which can increase the risk of errors.

**Library used**

* `Uint8Array`: A typed array representing an array of 8-bit unsigned integers.

**Special JS feature/syntax**

None mentioned in this benchmark. However, it's worth noting that JavaScript arrays are typically implemented as contiguous blocks of memory, and using a `DataView` object or direct bitwise operations can affect performance depending on the specific implementation and hardware.

**Other alternatives**

If not using a `DataView`, other approaches to access and manipulate array data include:

* Using a native binary format like `Buffer` (Node.js) or `ByteBuffer` (Java)
* Utilizing third-party libraries for array manipulation, such as `lodash` or `array-iterator`
* Implementing custom buffer management and indexing routines

Keep in mind that each approach has its trade-offs, and the choice of method depends on the specific requirements of your application.

Latest run results:

Run details: (Test run date: one month ago)

User agent: Mozilla/5.0 (iPhone; CPU iPhone OS 16_6 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) CriOS/119.0.6045.169 Mobile/15E148 Safari/604.1

Browser/OS: Chrome Mobile iOS 119 on iOS 16.6

View result in a separate tab

Test name	Executions per second
DataView	249.0 Ops/sec
Direct	184.1 Ops/sec

Related benchmarks:

uint32 DataView vs Direct Calculate (version: 0)

Comparing performance of: DataView vs Direct

Created: 2 months ago by: Guest

Jump to the latest result

DataView

Direct

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

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