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Big vs normal
(version: 0)
Comparing performance of:
BIG vs Float
Created:
8 years ago
by:
Guest
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HTML Preparation code:
<script src="https://cdnjs.cloudflare.com/ajax/libs/big.js/3.1.3/big.min.js"></script>
Tests:
BIG
var a = new Big(1).plus(1).div(3);
Float
var a = (1 + 1) / 3;
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
BIG
Float
Fastest:
N/A
Slowest:
N/A
Latest run results:
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
I'd be happy to help explain the benchmark. **What is being tested?** MeasureThat.net is testing the performance of two different approaches: using `Big.js` for arbitrary-precision arithmetic (also known as "big numbers") and regular floating-point arithmetic. The benchmark compares the execution speed of these two approaches in performing basic arithmetic operations, such as addition, subtraction, multiplication, division, and exponentiation. **Options compared** The two options being compared are: 1. **Regular Floating-Point Arithmetic**: This approach uses the standard 64-bit floating-point numbers provided by JavaScript engines, which can lead to rounding errors and limitations when dealing with very large or very small numbers. 2. **Arbitrary-Precision Arithmetic using Big.js**: This approach uses `Big.js`, a library that provides support for arbitrary-precision arithmetic. It allows numbers of any size without worrying about the limitations of standard floating-point representations. **Pros and Cons** * **Regular Floating-Point Arithmetic**: + Pros: Fast execution speed, widely supported by most JavaScript engines. + Cons: Can lead to rounding errors and limitations when dealing with very large or very small numbers. * **Arbitrary-Precision Arithmetic using Big.js**: + Pros: Allows precise calculations for arbitrary-precision numbers, eliminates rounding errors. + Cons: Typically slower execution speed compared to regular floating-point arithmetic. **Library used** `Big.js` is a library that provides support for arbitrary-precision arithmetic. It allows JavaScript engines to perform calculations with very large or very small numbers without worrying about the limitations of standard floating-point representations. **Special JS feature/syntax** There are no special JavaScript features or syntax mentioned in this benchmark. **Other alternatives** If `Big.js` is not available or not preferred, other arbitrary-precision arithmetic libraries can be used, such as: * `decimal.js` * `arbitrary-precision-arithmetic` These libraries provide similar functionality to `Big.js`, but with different implementation details. Overall, the benchmark aims to compare the performance of two approaches: regular floating-point arithmetic and arbitrary-precision arithmetic using `Big.js`. The choice between these options depends on the specific requirements of the application, such as precision, speed, and compatibility.
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