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loop vs recursion
(version: 0)
Comparing performance of:
rec vs loop
Created:
9 years ago
by:
Guest
Go to the latest result
Tests:
rec
x = function (n){ n++; if (n < 1000){x(n);}; } x(0)
loop
x = function (n){ while(n < 1000){ n++}}; x(0);
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
rec
loop
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
9 months ago
)
User agent:
Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/141.0.0.0 Safari/537.36
Browser/OS:
Chrome 141 on Mac OS X 10.15.7
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<iframe src="https://measurethat.net/Embed?id=618785" width="100%" height="500px"></iframe>
loop
2.4M/s
rec
60K/s
View exact numbers
Test name
Executions per second
✓
loop
2,352,717 Ops/sec
rec
60,308 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's dive into the world of JavaScript microbenchmarks on MeasureThat.net. **Benchmark Definition** The benchmark definition is a JSON object that defines the test case. In this case, there are two test cases: 1. "loop vs recursion" 2. "rec" and "loop" These two test cases are designed to compare the performance of loop-based and recursive approaches in a simple counter incrementation task. **Script Preparation Code** There is no script preparation code provided, which means that the benchmarking framework will generate the JavaScript code for each test case automatically. **Html Preparation Code** There is also no html preparation code provided, which suggests that the benchmarking framework will not render any HTML content before running the benchmarks. **Test Cases** Let's break down each test case: 1. **"rec" (Recursive)** The benchmark definition for this test case uses a recursive function to increment the counter: ```javascript x = function (n){ n++; if (n < 1000){x(n);}; }; ``` This function calls itself with the incremented value until it reaches 1000. The purpose of this test is to measure the overhead of recursive function calls. 2. **"loop" (Loop-based)** The benchmark definition for this test case uses a while loop to increment the counter: ```javascript x = function (n){ while(n < 1000){ n++}}; ``` This code increments the value in a single pass until it reaches 1000. The purpose of this test is to measure the overhead of a simple loop-based approach. **Library Usage** There are no explicit library references used in these benchmark definitions, which suggests that the JavaScript engine being tested does not rely on external libraries for execution. **JavaScript Features or Syntax** None of these benchmarks explicitly use special JavaScript features or syntax. They use basic, idiomatic language constructs to achieve their goals. **Other Alternatives** For a similar task, you could consider using other benchmarking tools or frameworks that support JavaScript microbenchmarks. Some popular alternatives include: * jsperf (now deprecated) * jsbenchmark * benchmark.js * BenchmarkLib Keep in mind that the choice of benchmarking tool will depend on your specific requirements and needs. **Pros and Cons** Here are some pros and cons associated with each approach: 1. **Recursive vs Loop-based** * Pros: + Recursive functions can be more elegant and easier to understand for simple tasks. + Can provide insights into the overhead of function calls and stack management. * Cons: + Recursion can lead to performance issues due to repeated function call overhead. + May cause stack overflows for large inputs or deep recursion. 2. **Loop-based** * Pros: + Generally faster than recursive approaches, as it avoids the overhead of function calls. + Less susceptible to stack overflows and other recursion-related issues. * Cons: + May not be as elegant or easy to understand for some developers. Ultimately, the choice between recursive and loop-based approaches depends on your specific use case and requirements.
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