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bit shift vs divide by 2
(version: 0)
Comparing performance of:
bit shift vs divide
Created:
2 years ago
by:
Guest
Jump to the latest result
Script Preparation code:
digit = 100
Tests:
bit shift
100 >> 1
divide
100 / 2
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
bit shift
divide
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
one year ago
)
User agent:
Mozilla/5.0 (Linux; Android 10; K) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/134.0.0.0 Mobile Safari/537.36
Browser/OS:
Chrome Mobile 134 on Android
View result in a separate tab
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Embed Benchmark Result
Test name
Executions per second
bit shift
126588216.0 Ops/sec
divide
126591872.0 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's dive into the world of JavaScript microbenchmarks! **Benchmark Overview** The provided JSON represents a simple benchmark that compares two approaches to perform a specific operation: shifting bits versus dividing by 2. **Tested Operations** In this benchmark, we have two test cases: 1. `100 >> 1` (Bit Shift): This operation shifts the binary representation of the number 100 one position to the right, effectively dividing it by 2. 2. `100 / 2` (Divide by 2): This operation divides the number 100 by 2. **Comparison Options** The benchmark compares two options: 1. **Bit Shift**: Shifting bits is a CPU-based approach that uses bitwise operations to achieve division by 2. It's often faster than using division, as it requires fewer arithmetic operations. 2. **Divide by 2**: Using the `/` operator is a more traditional JavaScript approach that performs division directly. **Pros and Cons** Here are the pros and cons of each approach: * **Bit Shift**: + Pros: Often faster due to lower overhead, can be optimized for specific CPU architectures. + Cons: May not work correctly for negative numbers or non-integer values, requires explicit handling of integer overflow. * **Divide by 2**: + Pros: Works with all numeric types, including floats and decimals, no need to worry about integer overflow. + Cons: Generally slower due to increased arithmetic complexity. **Library Usage** In this benchmark, there is no explicit library usage. However, the `>>` operator used in the `bit shift` test case uses a bitwise operation, which relies on the JavaScript engine's implementation of binary operations. **Special JS Features/Syntax** There are no special JavaScript features or syntax used in this benchmark that aren't part of standard JavaScript. **Other Considerations** When building benchmarks like this one, it's essential to consider factors such as: * **Test case size**: Larger numbers may benefit from different approaches. * **Floating-point vs integer arithmetic**: Benchmarking floating-point operations can be more complex due to the inherent imprecision in these calculations. * **Multi-threading and parallelism**: Modern CPUs often have multiple cores, which can lead to performance differences between single-core and multi-core benchmarks. **Alternative Approaches** If you want to explore alternative approaches for this benchmark, consider: * **Arithmetic libraries**: Use specialized arithmetic libraries like `fastmath` or `arbitrary-precision arithmetic` libraries for more accurate results. * **GPU acceleration**: Utilize the GPU's computational capabilities using WebGPU or WebGL to accelerate certain operations. For a more in-depth exploration of JavaScript performance optimization and benchmarking, I recommend checking out resources like the Mozilla Developer Network (MDN) Performance Guide or books on web performance optimization.
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