function add(a, b){
return a + b
}
function addRef(a, b){
return add(a, b)
}
function addRef2(a, b){
return addRef(a, b)
}
10+20
add(10, 20)
addRef(10, 20)
addRef2(10, 20)
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
inline | |
function call | |
function call x2 | |
function call x3 |
Test name | Executions per second |
---|---|
inline | 1538547072.0 Ops/sec |
function call | 13947398.0 Ops/sec |
function call x2 | 7176428.0 Ops/sec |
function call x3 | 4429218.0 Ops/sec |
Benchmark Overview
The provided JSON represents a JavaScript microbenchmarking test suite created on the MeasureThat.net website. The test compares different approaches to executing a simple arithmetic expression: 10 + 20
. This benchmark is used to evaluate the performance of various execution methods, including inline functions and function calls.
Test Cases
There are four individual test cases:
10 + 20
is executed directly within the code.add
is defined to perform the arithmetic operation.addRef
is defined, which calls the add
function and returns its result.addRef2
is defined, which calls the addRef
function and returns its result.Library and Special Features
None of the test cases use any external libraries or special JavaScript features other than basic arithmetic operations.
Execution Methods Compared
The benchmark compares four execution methods:
add
is defined to perform the arithmetic operation.addRef
is defined, which calls the add
function and returns its result.addRef2
is defined, which calls the addRef
function and returns its result.Pros and Cons of Each Approach
Here's a brief analysis of each approach:
add
method, with an additional layer of indirection.
Disadvantages:add
methods.Other Alternatives
If you were to modify this benchmark, you could consider adding more test cases to cover other arithmetic expressions or variations on these execution methods. Some possible alternatives include:
These additional test cases would help identify the performance benefits or drawbacks of implementing caching, memoization, or parallel execution in a real-world scenario.