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bigint prime *
(version: 0)
Comparing performance of:
int vs bigint
Created:
2 years ago
by:
Guest
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Tests:
int
104723 * 104729
bigint
104723n * 104723n
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
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Test case name
Result
int
bigint
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 data to understand what's being tested. **What is being tested?** The benchmark measures the performance of JavaScript integers (int) and BigInt numbers in arithmetic operations, specifically multiplication. There are two test cases: 1. `int`: Tests the performance of regular JavaScript integers. 2. `bigint`: Tests the performance of BigInt numbers. **Options compared:** In this case, there's only one option being compared for each test case: the use of `n` suffix with the number (e.g., `104723n`) to indicate a BigInt value. Pros and cons of using `n` suffix: Pros: * The `n` suffix is a standard way to denote BigInt numbers in JavaScript. * It's widely supported across most browsers and environments. Cons: * Some older browsers or environments might not support the `n` suffix, which could lead to performance differences or errors. * Using `BigInt` objects directly (e.g., `BigInt(104723)` instead of `104723n`) can provide more control over the underlying implementation, but this is not being tested here. **Library and syntax:** There's no explicit library mentioned in the benchmark definition. However, BigInt numbers are a built-in feature introduced in ECMAScript 2015 (ES6). If you're using an older version of JavaScript that doesn't support BigInts, you might need to use a polyfill or alternative implementation. No special JS features or syntax are being tested in this benchmark. **Alternatives:** If you want to write your own benchmarks or similar tests, here are some alternatives: 1. Use a benchmarking library like Benchmark.js or Microbenchmark.js. 2. Utilize the built-in `performance.now()` and `performance.timeEnd()` functions for measuring performance. 3. Write custom benchmarking scripts using Node.js's built-in timing functions (e.g., `process.hrtime()`) or other tools like Google's perf tool. For a more comprehensive understanding of JavaScript performance, you can also explore: * WebAssembly (WASM) for improved performance in web applications. * Just-In-Time (JIT) compilers like V8 (used by Chrome) or SpiderMonkey (used by Firefox). * Browser-specific optimization techniques and features, such as Web Workers, async/await, and Promises.
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