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Shifted Integer vs Array vs Uint8Array
(version: 0)
Comparing performance of:
Shifted Integer vs Array vs Uint8Array
Created:
7 years ago
by:
Guest
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Script Preparation code:
var int = 0 var arr = [] arr.length = 8 arr.fill(0) var u8 = new Uint8Array(1)
Tests:
Shifted Integer
for (let i = 0; i < 1000; i +=1) { int = ((int << 1) | 1) & ~(i & 1) & 255 } console.info(int)
Array
for (let i = 0; i < 1000; i +=1) { arr.push(i & 1) arr.shift() } console.info(arr)
Uint8Array
for (let i = 0; i < 1000; i +=1) { u8 = ((u8 << 1) | 1) & ~(i & 1) } console.info(u8)
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (3)
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Test case name
Result
Shifted Integer
Array
Uint8Array
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided benchmark and its test cases. **Benchmark Overview** The provided JSON represents a JavaScript microbenchmarking framework, MeasureThat.net. The goal of this benchmark is to compare the performance of three different approaches for implementing bitwise shift operations on integers: 1. Shifted Integer 2. Array 3. Uint8Array **Test Case 1: Shifted Integer** This test case uses a simple loop that performs a series of bitwise shift and AND operations on an integer variable `int`. The operation is as follows: ```javascript int = ((int << 1) | 1) & ~(i & 1) & 255 ``` The pros of this approach are: * It only requires a single loop iteration for each iteration of the outer loop. * It uses bitwise shift and AND operations, which are likely to be optimized by modern CPU architectures. However, the cons are: * It relies on the `~` operator, which may not be as efficient as other methods in some cases (e.g., when `i & 1` is always zero). * It uses a fixed value of 255, which might not be optimal for all possible inputs. **Test Case 2: Array** This test case pushes values onto an array and then shifts the last element off the array using the `shift()` method. The operation is as follows: ```javascript arr.push(i & 1) arr.shift() ``` The pros of this approach are: * It uses a standard JavaScript array method, which is likely to be optimized by modern browsers. * It avoids the use of bitwise shift and AND operations, making it potentially more readable. However, the cons are: * It creates a new element on each iteration, which can lead to memory allocations and deallocations that might affect performance. * The `shift()` method may not be as efficient as other methods for shifting elements in an array (e.g., when using native code). **Test Case 3: Uint8Array** This test case uses the `Uint8Array` class to create a buffer with a single element. It then performs a bitwise shift operation on this buffer using the following code: ```javascript u8 = ((u8 << 1) | 1) ``` The pros of this approach are: * It avoids creating an array or modifying it in place, which can lead to memory allocations and deallocations. * It uses a `Uint8Array`, which is a typed array that may be optimized for specific use cases (e.g., when working with binary data). However, the cons are: * It relies on the `<<` operator, which might not be as efficient as other methods in some cases (e.g., when working with large values). * The code assumes that the `u8` buffer has a single element, which may lead to errors if it's modified or extended. **Library Usage** None of the test cases use external libraries. However, they do rely on built-in JavaScript features and native browser functions (e.g., `push()` and `shift()` methods). **Special JS Features/Syntax** None of the test cases explicitly use special JavaScript features like `let` or `const`, nor do they use ES6+ syntax. The code is written in a style that's compatible with older browsers. **Other Alternatives** There are several alternative approaches to benchmarking this operation, including: * Using native code (e.g., Assembly) to implement the bitwise shift operations. * Using specialized libraries or frameworks that provide optimized implementations of bitwise shift operations (e.g., `Bitwise` library). * Writing custom performance-critical code using languages like C++ or Rust. Keep in mind that these alternatives may not be as widely supported or compatible with modern browsers, and might require more expertise to set up and maintain.
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