Thus, under the assumption that a kernel called printHelloGPU has been defined, the following are true: The syntax for this is:Ī kernel is executed once for every thread in every thread block configured when the kernel is launched. The execution configuration allows programmers to specify details about launching the kernel to run in parallel on multiple GPU threads. Notice, in the previous example, the kernel is launching with 1 block of threads (the first execution configuration argument) which contains 1 thread (the second configuration argument). How many threads to execute in each block.
Let’s remember some concepts we learned in a previous post: The cudaDeviceSyncronize function determines that all the processing on the GPU must be done before continuing.
Now, let’s change this code to run on the GPU. To get started, let’s write something straightforward to run on the CPU.
DIM3 BLOCK.X CUDA HOW TO
If you are starting with CUDA and want to know how to setup your environment, using VS2017, I recommend you to read this post. We will not cover all aspects, but it could be a nice first step. In this post, I would like to explain a basic but confusing concept of CUDA programming: Thread Hierarchies.