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modulo vs bitlogic
(version: 0)
nothing!
Comparing performance of:
modulo vs bit logic
Created:
3 years ago
by:
Guest
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HTML Preparation code:
<div></div>
Script Preparation code:
const BIT_NOISE1 = 0xB5297A4D; const BIT_NOISE2 = 0x68E31DA4; const BIT_NOISE3 = 0x1B56C4E9; const CAP = 1 << 32; function squirrel(x, seed) { let mangled = x; mangled *= BIT_NOISE1; mangled += seed; mangled ^= (mangled >> 8); mangled += BIT_NOISE2; mangled ^= (mangled << 8); mangled *= BIT_NOISE3; mangled ^= (mangled >> 8); return mangled; } function slow(x) { let a = squirrel(x, 4); return a % CAP; } function fast(x) { let a = squirrel(x, 4); return a & (CAP - 1); }
Tests:
modulo
let a = 0 for (var t=0; t < 1; t++) { a += slow(t+1); }
bit logic
let a = 0 for (var t=0; t < 1; t++) { a += fast(t+1); }
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
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Test case name
Result
modulo
bit logic
Fastest:
N/A
Slowest:
N/A
Latest run results:
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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** The benchmark defines two functions: `slow` and `fast`. Both functions use the same implementation, but with different approaches to perform modular arithmetic. ** slow function ** The `slow` function uses a traditional approach to calculate the remainder of a division operation: ```javascript function slow(x) { let a = squirrel(x, 4); return a % CAP; } ``` Here, it first calls the `squirrel` function with the input `x` and the seed value `4`. The result is then converted to an integer modulo `CAP` (which is equivalent to 2^32). ** fast function ** The `fast` function uses bit manipulation to perform modular arithmetic: ```javascript function fast(x) { let a = squirrel(x, 4); return a & (CAP - 1); } ``` Here, it also calls the `squirrel` function with the input `x` and the seed value `4`. The result is then converted to an integer using bitwise AND operation (`&`) with `CAP-1`, which effectively performs modular arithmetic. **Options Compared** Two options are compared: 1. **Traditional approach (slow)**: uses modulo operation (`%`) to perform division and find the remainder. 2. **Bit manipulation approach (fast)**: uses bit manipulation (`&`) to perform modular arithmetic. **Pros and Cons of Each Approach** ** Traditional approach (slow)** Pros: * Easy to understand and implement * Works well for most use cases Cons: * Can be slower than the optimized approach due to unnecessary calculations * May not be suitable for performance-critical applications ** Bit manipulation approach (fast)** Pros: * Optimized for performance, especially for large inputs * Reduces the number of calculations required Cons: * Requires a good understanding of bit manipulation and binary arithmetic * May be less intuitive than traditional approaches **Other Considerations** The `squirrel` function appears to be a custom implementation of a cryptographically secure pseudorandom number generator (CSPRNG). Its purpose is not explicitly stated, but it's likely used as a building block for the benchmark. **Library or Framework Used** There is no explicit mention of a library or framework being used in this benchmark. However, the `squirrel` function appears to be a custom implementation. **Special JS Feature or Syntax** No special JavaScript features or syntax are mentioned in this benchmark. **Alternatives** If you're looking for alternative approaches to perform modular arithmetic, some options include: 1. **Modular exponentiation algorithms**: such as the "Exponentiation by squaring" algorithm. 2. **Fast Fourier Transform (FFT)**: can be used to efficiently compute modular inverses and exponents. 3. **Montgomery multiplication**: an optimized algorithm for modular multiplication. Keep in mind that these alternatives may require more expertise and computational resources than the simple modulo operation or bit manipulation approach used in this benchmark.
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