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test ABS 5
(version: 0)
Comparing performance of:
Math.abs vs abs vs Custom1 vs Compare vs Bitshift
Created:
3 years ago
by:
Guest
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Script Preparation code:
var abs = Math.abs var x = -0.00034254146579137945; var cycle_counter = 1000000;
Tests:
Math.abs
for(i=0; i<cycle_counter; i++){ var result = Math.abs(x); }
abs
for(i=0; i<cycle_counter; i++){ var result = abs(x); }
Custom1
for(i=0; i<cycle_counter; i++){ var negative = x < 0.0 ? 1 : 0; var result = x - x * 2.0 * negative; }
Compare
for(i=0; i<cycle_counter; i++){ var result = x < 0 ? -x : x }
Bitshift
for(i=0; i<cycle_counter; i++){ var result = (x ^ (x >> 31)) - (x >> 31) }
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (5)
Previous results
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Test case name
Result
Math.abs
abs
Custom1
Compare
Bitshift
Fastest:
N/A
Slowest:
N/A
Latest run results:
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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 provided JSON represents a benchmark definition, which defines the test case: * **Script Preparation Code**: This code is executed once to set up the environment for the benchmark. In this case, it declares `abs` as an alias for `Math.abs` and initializes a variable `x` with a small negative value. The `cycle_counter` variable is also initialized with 1,000,000. **Test Cases** There are four test cases: * **Math.abs**: This test case uses the built-in JavaScript function `Math.abs`. * **abs**: This test case redefines `abs` as a local alias for `Math.abs`. In this case, it's equivalent to the first test case. * **Custom1** (also known as "Compare"): This test case performs an explicit comparison to determine whether `x` is negative or non-negative. It uses the bitwise shift operator (`>>`) to simulate multiplication by 2 and then checks if `x` is less than a small positive value. If so, it negates the result. * **Bitshift**: This test case exploits a trick that takes advantage of the behavior of the bitwise XOR operator (`^`) with negative numbers. The idea is that `(x ^ (x >> 31)) - (x >> 31)` equals `x` if and only if `x` is non-negative. **Options Compared** These four test cases demonstrate different approaches to calculate the absolute value: * **Using built-in functions**: `Math.abs` * **Redefining a local alias**: `abs` * **Bitwise shift trick**: `Bitshift` * **Explicit comparison**: `Custom1` **Pros and Cons** Here's a brief summary of each approach: * **Built-in function (Math.abs)**: * Pros: Easy to read, widely supported, and well-documented. * Cons: May be slower due to the overhead of the built-in function call. * **Local alias**: `abs` * Pros: Similar performance to `Math.abs` and easy to read. * Cons: Requires declaring a new variable, which can be a minor overhead. * **Bitwise shift trick (Bitshift)**: * Pros: Can potentially be faster than the built-in function due to the bitwise operations, but its performance may vary depending on the browser and hardware. * Cons: The code is less readable, and it relies on specific JavaScript engine behavior. * **Explicit comparison (Custom1)**: * Pros: Easy to understand and might be faster than the built-in function due to fewer function calls, but its performance can be variable depending on the browser's optimization. * Cons: Requires more CPU instructions for the explicit comparison. **Libraries** None are explicitly mentioned in the provided benchmark definition. **Special JS Features or Syntax** There is no special JavaScript feature or syntax used in this benchmark. The code only uses standard JavaScript features, such as variables, loops, and bitwise operators. **Alternatives** To compare the performance of different absolute value implementations: * You can use other browsers to run the benchmarks. * You can experiment with different input values for `x`. * You can try alternative implementations, like using a library or a specialized function for each platform (e.g., `Math.abs` on WebAssembly). Remember that JavaScript engines and hardware have varying optimization techniques. Always test multiple approaches to ensure you're choosing the best one for your specific use case.
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