Benchmark: Primepal - MeasureThat.net

Tests:

Prime1
var primePalindrome = function(n) { while (true){ let str = String(n) if (str.length % 2 == 0 && n > 11){ n = 1 + Array(str.length).fill(0).join("") continue } if (!isPalindrome(str)) { n++ continue } if (isPrime(n)) return n n++ } }; function isPrime(n){ if (n <= 1) return false if (n <= 3) return true if (n % 2 == 0 || n % 3 == 0) return false for (let i = 3; i <= Math.floor(Math.sqrt(n)) + 1;i+=2){ if (n % i == 0) return false } return true } function isPalindrome(str){ let l = 0, r = str.length-1 while (l < r){ if (str[l] != str[r]) return false l++ r-- } return true } primePalindrome(51633903)
Prim22pow
var primePalindrome = function(n) { while (true){ let str = String(n) if (str.length % 2 == 0 && n > 11){ n = Math.pow(10, Math.ceil(Math.log10(n+1))) continue } if (!isPalindrome(str)) { n++ continue } if (isPrime(n)) return n n++ } }; function isPrime(n){ if (n <= 1) return false if (n <= 3) return true if (n % 2 == 0 || n % 3 == 0) return false for (let i = 3; i <= Math.floor(Math.sqrt(n)) + 1;i+=2){ if (n % i == 0) return false } return true } function isPalindrome(str){ let l = 0, r = str.length-1 while (l < r){ if (str[l] != str[r]) return false l++ r-- } return true } primePalindrome(51633903)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Prime1
Prim22pow

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.

Measuring JavaScript performance is a complex task, and there are several approaches to optimize benchmarking. I'll break down the provided benchmark definition and test cases to explain what's being tested and the pros and cons of each approach.

**Benchmark Definition:**

The benchmark definition is a JavaScript function `primePalindrome` that generates prime palindromes. The function takes an integer `n` as input and returns the first prime palindrome greater than or equal to `n`.

**Test Cases:**

There are two test cases:

1. **Prime1**: This test case uses the original implementation of `primePalindrome`.
2. **Prim22pow**: This test case uses a modified implementation of `primePalindrome` that incorporates an optimization technique using exponentiation by squaring (`Math.pow(10, Math.ceil(Math.log10(n+1)))`).

**Library Used:**

None of the provided code uses any external libraries.

**Special JS Features/Syntax:**

* None mentioned in the provided code. However, note that some JavaScript engines may optimize certain functions or syntax for better performance.
* Exponentiation by squaring is a well-known optimization technique in mathematics and computer science. In this case, it's used to quickly estimate the next power of 10, which can improve the performance of the `primePalindrome` function.

**Approaches Compared:**

The two test cases compare two different approaches:

1. **Original implementation (Prime1)**: This implementation uses a brute-force approach with a simple loop to generate prime palindromes.
2. **Optimized implementation (Prim22pow)**: This implementation uses exponentiation by squaring to quickly estimate the next power of 10, which reduces the number of iterations required to find a prime palindrome.

**Pros and Cons:**

* **Original implementation (Prime1)**:
	+ Pros: Simple and easy to understand.
	+ Cons: May be slower due to the brute-force approach.
* **Optimized implementation (Prim22pow)**:
	+ Pros: Can potentially be faster due to the optimized exponentiation technique.
	+ Cons: May be more complex to understand, especially for non-expert developers.

**Other Considerations:**

When benchmarking JavaScript performance, it's essential to consider other factors beyond just the algorithm used. Some other considerations include:

* **Input size**: The input size of `n` can significantly impact performance.
* **JavaScript engine and version**: Different JavaScript engines (e.g., V8) and versions may optimize certain functions or syntax differently.
* **Cache effects**: The cache behavior of the JavaScript engine can also affect performance.

**Alternatives:**

If you're interested in exploring alternative approaches, here are a few options:

1. **Use a more efficient algorithm**: There are several algorithms for generating prime numbers, such as the Sieve of Eratosthenes or the Sieve of Atkin.
2. **Optimize for cache effects**: Techniques like loop unrolling, dead code elimination, and memoization can help optimize performance in certain cases.
3. **Use a just-in-time (JIT) compiler**: Some JavaScript engines, like V8, have JIT compilers that can improve performance by compiling hot functions into native machine code.

Keep in mind that each approach has its own trade-offs, and the best approach will depend on the specific requirements of your use case.

Related benchmarks:

Primepal (version: 0)

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Comparing performance of: Prime1 vs Prim22pow

Created: 4 years ago by: Guest

Jump to the latest result

Prime1

Prim22pow

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):