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Power 2
(version: 2)
Comparing performance of:
Math.power vs Bit vs Operation ** vs 3**8
Created:
7 years ago
by:
Registered User
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Tests:
Math.power
const n = 10 const a = Math.pow(2, n)
Bit
const n = 10 const a = 1 << n
Operation **
const n = 10 const a = 2**n
3**8
const n = 8 const a = 3**n
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (4)
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Test case name
Result
Math.power
Bit
Operation **
3**8
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 explain what is being tested. **Benchmark Definition JSON** The `Power 2` benchmark definition is minimal, providing only two pieces of information: 1. **Name**: "Power 2" 2. **Description**: None 3. **Script Preparation Code**: None 4. **Html Preparation Code**: None This suggests that the benchmark focuses solely on measuring the performance of a specific mathematical operation: exponentiation (specifically, squaring or raising a number to a power). **Individual Test Cases** The four test cases are variations of exponentiation: 1. `Math.pow(2, n)`: Uses the built-in `Math.pow` function from JavaScript's Math object. 2. `1 << n`: Uses bit shifting (left shift operator) to achieve exponentiation. 3. `2**n`: Uses the `**` operator for exponentiation. 4. `3**8`: A specific case where the base is fixed at 3 and the exponent is fixed at 8. These test cases cover different ways of implementing exponentiation in JavaScript, including built-in functions (`Math.pow`) and bit shifting (`1 << n`). The last two test cases are more straightforward examples of using the `**` operator. **Library: Math object** The first test case uses the `Math` object's `pow` function. The `Math` object is a built-in JavaScript library that provides various mathematical functions, including trigonometric, exponential, and logarithmic functions. In this case, `Math.pow` calculates the power of a number. **Bit Shifting** The second test case uses bit shifting to achieve exponentiation. This technique takes advantage of binary representation to calculate powers of 2 efficiently. When you shift a binary number left by n bits, you multiply it by 2^n. By reversing this process (bitwise right shift), you can divide by 2^n, effectively calculating the power. **Exponentiation Operator (`**`)** The third test case uses the `**` operator for exponentiation. This is a relatively recent feature introduced in JavaScript (from ES6 onwards). The `**` operator directly calculates the power of two numbers. **Comparison of Approaches** Here's a brief comparison of the three approaches: 1. **Built-in `Math.pow`**: Pros: easy to implement, well-documented, and optimized for performance. Cons: may not be as efficient as other methods, especially for large exponents. 2. **Bit Shifting**: Pros: efficient for large exponents, relatively simple implementation. Cons: may require more complex code, and the binary representation aspect might be unfamiliar to some developers. 3. **Exponentiation Operator (`**`)**: Pros: concise and easy to read, optimized for performance in modern JavaScript engines. Cons: only available from ES6 onwards, and its behavior is not as well-documented as `Math.pow`. **Other Alternatives** If you wanted to test alternative methods, you could consider: * Using a dedicated library like `numjs` or `fast-num-expr`, which provide optimized exponentiation functions. * Implementing a custom exponentiation algorithm using loop-based arithmetic. * Exploring other techniques, such as using a hash table or a lookup table to precompute results for common exponents. These alternatives might not be as efficient or concise as the methods used in the benchmark, but they could provide interesting variations for testing and exploration.
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