<!--your preparation HTML code goes here-->
const n = 5.4321; const m = 1.2345;
const resultN = n / Math.PI;
const resultM = m / Math.PI;
const invPi = 1 / Math.PI;
const resultN = n * invPi;
const resultM = m * invPi;
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
Divide | |
Multiply by Inverse |
Test name | Executions per second |
---|---|
Divide | 175088144.0 Ops/sec |
Multiply by Inverse | 185659776.0 Ops/sec |
The benchmark represented by the JSON provided tests the performance of two mathematical operations in JavaScript: division and multiplication by the reciprocal (inverse). This benchmark is intended to compare the execution speed of these two methods when dividing values by π (Pi), a common mathematical constant frequently used in calculations.
Divide:
const resultN = n / Math.PI; const resultM = m / Math.PI;
This test directly divides the values n
and m
by Math.PI
. In this case, the operation requires a call to the Math.PI
property to retrieve the value of Pi and then applies the division.
Multiply by Inverse:
const invPi = 1 / Math.PI; const resultN = n * invPi; const resultM = m * invPi;
This test first calculates the inverse of π by performing a single division (1 divided by Math.PI
) and stores it in the variable invPi
. It then multiplies both n
and m
by this precomputed value. Thus, instead of repeatedly accessing Math.PI
, it retrieves it once and uses it for multiplication.
Divide:
Pros:
Cons:
Math.PI
, which can add overhead, especially if there's a significant number of repeated calculations in a larger context.Multiply by Inverse:
Pros:
invPi
once, this method can potentially reduce the number of mathematical operations, especially if invPi
is reused. Multiplication can sometimes be faster than division.Math.PI
is accessed only once, it may improve performance especially in a loop or repeated execution context where the operations are called multiple times.Cons:
invPi
), which could slightly confuse someone unfamiliar with using inverse multiplication as a method for division.Precision: Both methods should yield similar precision due to JavaScript’s handling of floating-point arithmetic. However, in scenarios requiring extreme precision calculations, the impact of using different mathematical approaches may vary due to how floating-point errors propagate.
Execution Context: The performance difference may become negligible if these calculations are a small part of a larger computation where other factors, like data retrieval or complex processing, take more time.
Apart from these two methods, there are other potential alternatives for similar computations:
Using other libraries: For more complex mathematical operations, libraries like math.js or numeric.js could be utilized, providing richer capabilities such as arbitrary precision arithmetic. However, they have higher overhead due to unification and optimization features they provide.
Typed Arrays: If performing bulk operations on arrays of numbers (for example, needing to operate on vectors or matrices), you could explore using Typed Arrays in JavaScript for efficiency, especially in performance-critical applications.
WebAssembly: For compute-heavy tasks, consider using WebAssembly, which allows you to execute code written in languages like C/C++ or Rust, potentially offering significant performance improvements over JavaScript for numerical computations.
Overall, the benchmark emphasizes comparing two widely used approaches to division in JavaScript, showcasing how performance can be affected by the choice of methods in mathematical operations.