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Sort Array Benchmark 1k, 5k, 10k.
(version: 0)
Comparing performance of:
k1 sort vs k5 sort
Created:
7 years ago
by:
Guest
Jump to the latest result
Script Preparation code:
var k1 = new Array(1000); // generate a new int[] for (i = 0; i < k1.length; i++) { k1[i] = i; // generate a random number } var k5 = new Array(5000); // generate a new int[] for (i = 0; i < k5.length; i++) { k5[i] = i; // generate a random number }
Tests:
k1 sort
k1.sort()
k5 sort
k5.sort()
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
k1 sort
k5 sort
Fastest:
N/A
Slowest:
N/A
Latest run results:
No previous run results
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
**Benchmark Explanation** MeasureThat.net is a website that allows users to create and run JavaScript microbenchmarks. The provided benchmark definition JSON represents a simple sorting algorithm benchmark, comparing the execution time of two different arrays: `k1` (containing 1000 random integers) and `k5` (containing 5000 random integers). **Options Compared** The benchmark compares two options: 1. **Sort Array using Built-in Sort Method**: This option uses the built-in `sort()` method on the `Array.prototype` to sort the array elements. 2. **Custom Sorting Implementation**: This option involves a custom sorting implementation, likely using a sorting algorithm such as quicksort or mergesort. **Pros and Cons** **Built-in Sort Method:** Pros: * Easy to implement and understand * Fast execution time due to native JavaScript engine optimization Cons: * May not be suitable for large datasets or complex data structures * Dependent on the underlying JavaScript engine's performance optimizations **Custom Sorting Implementation:** Pros: * Can be optimized for specific use cases or datasets * Allows for more control over the sorting algorithm and its implementation details Cons: * More complex to implement and understand, potentially leading to slower execution times due to overhead. * May require manual optimization and fine-tuning for optimal performance. **Library Usage** In this benchmark, no libraries are explicitly mentioned. However, it's possible that the `Array` class or other built-in JavaScript classes might be used internally by the browser's JavaScript engine to implement the sorting algorithms. **Special JS Features or Syntax** There are no special JS features or syntax mentioned in this benchmark. The focus is on comparing two different approaches to sorting arrays using standard JavaScript programming. **Other Alternatives** If you were to create a similar benchmark, you might consider including other options, such as: * Using `Map` or `Set` data structures instead of arrays * Employing parallel processing or multi-threading for sorting large datasets * Comparing different sorting algorithms like quicksort, mergesort, heapsort, or radix sort * Incorporating additional factors that might impact performance, such as caching, buffer sizes, or memory allocation Keep in mind that the specific options and alternatives will depend on the goals and scope of your benchmark. MeasureThat.net's focus on simple, straightforward comparisons makes it an excellent starting point for exploring the performance characteristics of different JavaScript implementations.
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