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__global__ 函数限定符

将函数标记为 GPU 内核

__global__ 函数限定符 是 CoddyKit 上的免费 CUDA Academy 课时。 这是第 1 节课,共 4 节。 你可以在下方免费阅读本课时的完整内容 — 然后在浏览器中使用内置代码编辑器和全天候 AI 导师进行实践。 这是 CUDA Academy 学习路径的一部分,你的进度在网页和 CoddyKit 应用中同步。 CUDA Academy 课程共包含 4 节课。

本课时的部分内容尚未翻译,以英文显示。

Two Worlds, Two Compilers

Your CUDA file holds both CPU and GPU code. A tiny keyword tells the compiler which side a function belongs to. That keyword is the function qualifier. ⚡

Meet __global__

The __global__ qualifier marks a function as a GPU kernel: code the CPU launches but the GPU actually runs across many threads.

__global__ void myKernel() {
    // runs on the GPU
}

Called Here, Runs There

A __global__ function is the only kind the host can call but the device executes. It is the bridge between your two worlds.

Always Returns void

A kernel must return void. It cannot hand a value back to the CPU, so results travel out through memory instead.

__global__ void addOne(int* data) {
    data[0] += 1;
}

Launching Is Asynchronous

When you launch a __global__ kernel, the CPU does not wait. The call returns instantly while the GPU works in the background. 🚀

Many Threads, One Function

One __global__ definition runs on thousands of threads at once. You write the body once; the GPU clones the work across cores.

The Launch Syntax

Calling a kernel needs special triple angle brackets that set how many threads run. Normal parentheses alone will not do.

myKernel<<<1, 256>>>();

Parameters by Value

Kernel arguments are copied to the device. Pass device pointers for arrays, since a host pointer would be meaningless on the GPU.

Not the Same as __device__

Do not confuse them: __global__ is a launchable entry point, while __device__ functions are helpers callable only from GPU code.

No Recursion at the Entry

A __global__ kernel cannot call itself directly the way host functions do. Classic recursion belongs to device helper functions instead.

Why It Matters

Mastering __global__ unlocks everything ahead: every kernel you write, launch, and tune starts with this one little keyword.

Quick Check

Let us check your grasp of the __global__ qualifier.

Recap

You learned that __global__ marks a GPU kernel: called by the host, run by the device, returns void, and launched with triple angle brackets. 🎉

常见问题解答

「__global__ 函数限定符」课时是免费的吗?

是的 — 「__global__ 函数限定符」的完整文本可在网页上免费阅读。要进行交互式练习(内置代码编辑器和全天候 AI 导师)并解锁 CUDA Academy 课程的其余内容,请升级到 CoddyKit PRO。 CUDA Academy 课程共包含 4 节课。

「__global__ 函数限定符」这节课中我会学到什么?

将函数标记为 GPU 内核 你通过在浏览器中直接运行的动手代码来练习 CUDA Academy,全天候 AI 导师会在你学习这节课的过程中回答你的问题。

学习 CUDA Academy 需要有经验吗?

无需任何先前经验。CoddyKit 上的 CUDA Academy 课程适合初学者到高级学习者,你可以从这里开始或从头开始,按照自己的节奏学习。 这是第 1 节课,共 4 节。

「__global__ 函数限定符」课时需要多长时间?

大多数 CoddyKit 课程大约需要 5–10 分钟。每节课都很精短且互动,所以你能稳步进步,并在网页和应用中从离开的地方继续。

我能在这节 CUDA Academy 课中编写并运行代码吗?

能。每节 CUDA Academy 课都包含内置代码编辑器,你可以在浏览器中直接编写并运行真实代码,并获得即时 AI 反馈 — 无需本地设置。

此课程中的所有课时

  1. __global__ 函数限定符
  2. __device__ 与 __host__ 函数
  3. 分离的地址空间
  4. CUDA 程序的生命周期
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