ND Range Kernels

In this exercise you will learn how to enqueue ND range kernel functions.

1.) Use items in parallel_for

Using the application from any exercise so far or creating a new one, enqueue a kernel function using the parallel_for variant which takes a range but has the kernel function take an item.

Feel free to use either the buffer/accessor model and feel free to use any method of synchronization and copy back.

When using an item you cannot pass this directly to the subscript operator of an accessor you have to retrieve the id, you can do this by calling the get_id member function.

2.) Enqueue an ND range kernel

Using the application from any exercise so far or creating a new one, enqueue an ND range kernel function using the parallel_for variant which takes an nd_range.

Remember an nd_range is made up of two ranges, the first being the global range and the second being the local range or the work-group size.

Remember that when using this variant of parallel_for the kernel function takes an nd_item.

Similarly to to the item when using the nd_item you cannot pass this directly to the subscript operator of an accessor, you can retrieve the id by calling the get_global_id member function.

Feel free to use either the buffer/accessor model and feel free to use any method of synchronization and copy back.

Build and execution hints

For DevCloud via JupiterLab follow these instructions.

For DPC++: instructions.

For AdaptiveCpp: instructions.