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Скачать или смотреть Detecting AVX2 Support in Your Code with GCC

  • vlogize
  • 2025-05-26
  • 10
Detecting AVX2 Support in Your Code with GCC
How to detect AVX2 support using gccgccg++avxinstruction setavx2
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Описание к видео Detecting AVX2 Support in Your Code with GCC

Learn how to correctly detect `AVX2` support in your code using `GCC` with two effective methods. Understand the difference between compile-time and runtime checks to make informed decisions in your coding projects.
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This video is based on the question https://stackoverflow.com/q/67556719/ asked by the user 'Atharva Dubey' ( https://stackoverflow.com/u/13594617/ ) and on the answer https://stackoverflow.com/a/67556815/ provided by the user 'vec10' ( https://stackoverflow.com/u/3135822/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: How to detect AVX2 support using gcc

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The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

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Detecting AVX2 Support in Your Code with GCC

In today's tech-driven world, optimizing your code to take advantage of your CPU's capabilities can lead to significant performance improvements. One such optimization involves recognizing whether your CPU supports the AVX2 (Advanced Vector Extensions 2) instruction set. But how do you accurately check for AVX2 support in C+ + when using the GCC compiler? Let's delve into the problem and the appropriate solutions you can utilize.

The Problem Explained

You might have encountered a situation where you need to conditionally execute code depending on the available CPU features. Specifically, if you're working with an i7-9750H processor that does support the AVX2 instruction set, having a reliable way to check for this support is crucial for ensuring your program runs efficiently. The challenge presented is that two supposed methods to check for AVX2 support yield conflicting results:

Runtime Check with __builtin_cpu_supports("avx2") – This method checks if the CPU supports AVX2 during program execution.

Compile-time Check using # if defined(__AVX2__) – This checks if the GCC compiler is set to compile with AVX2 support.

Let's take a closer look at how these methods work and why they may return different outcomes.

Understanding the Methods

1. Runtime Check: __builtin_cpu_supports("avx2")

What It Does: This built-in function checks at runtime if the CPU supports the specific instruction set.

When to Use: Ideal when your application may be running on different hardware configurations, allowing it to adapt dynamically.

2. Compile-time Check: # if defined(__AVX2__)

What It Does: This preprocessor directive determines if the compiled code was instructed to utilize AVX2 features.

When to Use: Useful for ensuring your code is compiled with specific settings, allowing for optimizations when AVX2 is available at compile time.

The Solution Breakdown

While both methods are valuable, the discrepancy arises from their intended use cases. Here’s how to configure your checks appropriately:

Using Both Methods Together

Combining both runtime and compile-time checks allows you to ensure both conditions are satisfied:

[[See Video to Reveal this Text or Code Snippet]]

Conclusion

By utilizing both __builtin_cpu_supports("avx2") for runtime checks and # if defined(__AVX2__) for compile-time checks, you can confidently ascertain the AVX2 support in your projects. Always keep in mind that checking at both times provides the flexibility and assurance needed for high-performance applications on various hardware.

With this knowledge, you’re now equipped to make your applications not only smarter but also more responsive to the capabilities of the systems they run on. Happy coding!

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