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method calls overhead
(version: 0)
Comparing performance of:
without function call vs with function call
Created:
7 years ago
by:
Registered User
Jump to the latest result
Script Preparation code:
var timesTwo = function(num) { return num * 2; }
Tests:
without function call
let a = Math.floor(Math.random() * 100) * 2;
with function call
let a = timesTwo(Math.floor(Math.random() * 100));
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
without function call
with function call
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
11 months ago
)
User agent:
Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/135.0.0.0 Safari/537.36
Browser/OS:
Chrome 135 on Linux
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Embed Benchmark Result
Test name
Executions per second
without function call
133299640.0 Ops/sec
with function call
131608032.0 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
I'll break down the provided benchmark definition, test cases, and latest benchmark result to explain what's being tested. **Benchmark Definition:** The benchmark is designed to measure the overhead of method calls in JavaScript. The script preparation code defines two functions: `timesTwo`, which takes a number as input and returns its double, and an empty function (not used in this example). The benchmark definition includes two test cases: 1. **Without function call**: This test case uses the literal value 100 multiplied by 2 to simulate a method call without actually calling a function. 2. **With function call**: This test case calls the `timesTwo` function with an argument, simulating a method call. **Options Compared:** The benchmark compares two approaches: 1. **Literal multiplication**: Using arithmetic operations (multiplication) directly in the code, without invoking a function. 2. **Function call**: Invoking the `timesTwo` function to perform the same calculation. **Pros and Cons of Each Approach:** * **Literal Multiplication**: + Pros: - Faster execution time, as it avoids the overhead of function calls. - More efficient in terms of CPU cycles. + Cons: - May lead to code readability issues if not properly explained. - Not suitable for all scenarios where functions are used for encapsulation or modularity. * **Function Call**: + Pros: - Encapsulates the calculation logic, making it reusable and easier to maintain. - Allows for better error handling and edge cases. + Cons: - Slower execution time due to function call overhead. **Library:** In this benchmark, there is no explicit library used. However, the `Math` object is used within the `timesTwo` function, which is a built-in JavaScript library providing mathematical functions. **Special JS Feature or Syntax (None):** There are no special JavaScript features or syntax used in this benchmark. **Other Alternatives:** If you wanted to compare different approaches for method calls in JavaScript, some alternatives could be: * Using a Just-In-Time (JIT) compiler like SpiderMonkey (used by Firefox) or V8 (used by Chrome). * Comparing the performance of different language implementations, such as Python's CPython or Java's OpenJDK. * Evaluating the impact of various optimization techniques, like inlining, caching, or memoization. Keep in mind that these alternatives would require significant changes to the benchmark definition and test cases.
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