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Caching length property (internal and external) vs getting it each time in the loop
(version: 0)
save length of the array in the variable vs get it the loop
Comparing performance of:
Cache length (external) vs No cache vs Cache length (internal)
Created:
3 years ago
by:
Guest
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Script Preparation code:
var arr = []; var count = 1000; for(var i = 0; i<count; i++) { arr.push(i); }
Tests:
Cache length (external)
var arrLen = arr.length; var sum = 0; for (var i = 0; i < arrLen; i++){ sum = arr[i]; }
No cache
var sum = 0; for (var i = 0; i < arr.length; i++){ sum = arr[i]; }
Cache length (internal)
var sum = 0; for (var i = 0, arrLen = arr.length; i < arrLen; i++){ sum = arr[i]; }
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (3)
Previous results
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Test case name
Result
Cache length (external)
No cache
Cache length (internal)
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):
I'll break down the provided benchmark and its test cases to explain what's being tested, compared, and their pros and cons. **Benchmark Overview** The benchmark tests three approaches to accessing the length of an array in a loop: 1. Caching the length externally (using `arr.length`) 2. Not caching the length at all (only using `arr.length` within the loop) 3. Caching the length internally (using `arr.length` outside the loop) **Test Cases** ### 1. Cache length (external) ```javascript var arrLen = arr.length; for (var i = 0; i < arrLen; i++) { sum = arr[i]; } ``` This approach caches the length of the array in a separate variable (`arrLen`) before the loop, reducing the need to access `arr.length` multiple times within the loop. Pros: * Reduces cache misses and accesses, potentially improving performance. * Can be beneficial for large arrays where accessing `arr.length` is expensive. Cons: * Requires an additional variable to store the cached length. * May not be suitable for all use cases, as it introduces extra memory usage. ### 2. No cache ```javascript for (var i = 0; i < arr.length; i++) { sum = arr[i]; } ``` This approach does not cache the length of the array at all, relying solely on accessing `arr.length` within the loop. Pros: * Simplifies code and eliminates the need for an additional variable. * Suitable for small arrays or performance-critical loops where every cycle counts. Cons: * May result in more cache misses and accesses, potentially decreasing performance. * Can be slower for large arrays due to increased cache thrashing. ### 3. Cache length (internal) ```javascript var sum = 0; for (var i = 0, arrLen = arr.length; i < arrLen; i++) { sum = arr[i]; } ``` This approach caches the length of the array internally using `arr.length` outside the loop and only once. Pros: * Balances between caching and simplicity. * Suitable for most use cases where accessing `arr.length` within the loop is relatively cheap. Cons: * May not be as efficient as external caching (see above) but still offers some benefits. * Can introduce extra memory usage due to the additional variable. **Library Usage** None of the test cases explicitly use any JavaScript libraries, frameworks, or modules. **Special JS Features/Syntax** No special JavaScript features or syntax are used in these benchmark test cases. They focus solely on basic array iteration and caching mechanics. **Alternatives** Other alternatives for this benchmark could include: * Using `Array.prototype.forEach()` or other built-in array methods that optimize cache usage. * Implementing a custom caching mechanism using techniques like memoization or caching libraries. * Comparing different array data structures, such as using linked lists instead of arrays. * Investigating how various browser optimizations, like Just-In-Time (JIT) compilation or ahead-of-time (AOT) compilation, affect performance. These alternatives would require additional modifications to the benchmark and test cases to accommodate new techniques and assumptions about the target environment.
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