How to build a PyCUDA application
The PyCUDA programming model is designed for the common execution of a program on a CPU and GPU, so as to allow you to perform the sequential parts on the CPU and the numeric parts, which are more intensive on the GPU. The phases to be performed in the sequential mode are implemented and executed on the CPU (host), while the steps to be performed in parallel are implemented and executed on the GPU (device). The functions to be performed in parallel on the device are called kernels. The steps to execute a generic function kernel on the device are as follows:
The first step is to allocate the memory on the device.
Then we need to transfer data from the host memory to that allocated on the device.
Next, we need to run the device:
Run the configuration.
Invoke the kernel function.
Then, we need to transfer the results from the memory on the device to the host memory.
Finally, release the memory allocated on the device.
The PyCUDA programming model
How to do it…
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