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Float32Array .set vs manual
(version: 0)
Comparing performance of:
manually vs set
Created:
one year ago
by:
Guest
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Script Preparation code:
var size = 256*256*4; var dataTensor = new Float32Array(size); var previous = new Float32Array(size / 4); var offset = 256*256*3; for (let i = 0; i < size; i++) { dataTensor[i] = 100*Math.random(); dataTensor[i*2] = 100*Math.random(); dataTensor[i*3] = 100*Math.random(); dataTensor[i*4] = 100*Math.random(); previous[i] = 100*Math.random(); }
Tests:
manually
for (let index = 0; index < previous.length; index++) { dataTensor[index + offset] = previous[index]; }
set
dataTensor.set(previous, offset);
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
manually
set
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
one year ago
)
User agent:
Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/128.0.0.0 Safari/537.36
Browser/OS:
Chrome 128 on Windows
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Test name
Executions per second
manually
145.0 Ops/sec
set
261013.8 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided benchmark and explain what is being tested. **Benchmark Definition** The benchmark definition represents two test cases: 1. **Manual Approach**: The first test case, represented by the `Benchmark Definition` code `"for (let index = 0; index < previous.length; index++) {\r\n dataTensor[index + offset] = previous[index];\r\n}"`, tests the manual approach of iterating through the `previous` array and manually setting the corresponding elements in the `dataTensor` array. 2. **Set Method**: The second test case, represented by the `Benchmark Definition` code `"dataTensor.set(previous, offset);"`, tests the use of the `set()` method to set the values in the `dataTensor` array. **Options Compared** The two test cases compare the performance of: * Manual iteration through the `previous` array * Using the `set()` method to set values in the `dataTensor` array **Pros and Cons** * **Manual Approach**: + Pros: Can be more intuitive and easier to understand for some developers. + Cons: May be slower due to the overhead of manual iteration and indexing. * **Set Method**: + Pros: Typically faster and more efficient, as it leverages native JavaScript optimizations. + Cons: May require more code and understanding of the `set()` method's behavior. **Library** In this benchmark, no specific library is used. However, some libraries may be implicitly required due to their widespread adoption in the industry (e.g., Webpack or Node.js). **Special JS Feature/Syntax** None mentioned in the provided benchmark definition. **Other Considerations** When writing benchmarks like this one, consider the following: * Use a representative set of test cases to ensure accurate results. * Ensure that the test code is concise and easy to understand. * Use a consistent naming convention for variables and functions. * Avoid using global variables or unnecessary dependencies in the test code. **Alternatives** Some alternative approaches to testing performance in JavaScript include: * Using a Just-In-Time (JIT) compiler, such as V8, to compile and optimize the test code. * Utilizing WebAssembly (WASM) for better performance. * Implementing parallelization or concurrent execution using techniques like Web Workers or async/await. Keep in mind that these alternatives may require additional infrastructure and expertise to implement effectively.
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