可以跨越一个OpenCL内核以在CPU和GPU上同时运行 [英] Is possible to span an OpenCL kernel to run concurrently on CPU and GPU

问题描述

让我们假设我有一台装有多核处理器和GPU的计算机.我想编写一个在平台的所有内核上运行的OpenCL程序.这可能吗，还是我需要选择一个可以在其上运行内核的设备?

Lets assume that I have a computer which has a multicore processor and a GPU. I would like to write an OpenCL program which runs on all cores of the platform. Is this possible or do I need to choose a single device on which to run the kernel?

推荐答案

理论上可以，CL API允许.但是平台/实现必须支持它，我认为大多数CL实现都不支持.

In theory yes, you can, the CL API allows it. But the platform/implementation must support it, and i don't think most CL implementatations do.

要执行此操作，请获取CPU设备和GPU设备的cl_device_id，并使用clCreateContext创建与这两个设备的上下文.

To do it, get the cl_device_id of the CPU device and the GPU device, and create a context with those two devices, using clCreateContext.

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