CLExecute

The function runs an OpenCL program. There are 3 versions of the function:

1. Launching kernel functions using one kernel

bool  CLExecute(
   int          kernel                    // Handle to the kernel of an OpenCL program
   );

2. Launching several kernel copies (OpenCL function) with task space description

bool  CLExecute(
   int          kernel,                   // Handle to the kernel of an OpenCL program
   uint         work_dim,                 // Dimension of the tasks space
   const uint&  global_work_offset[],     // Initial offset in the tasks space
   const uint&  global_work_size[]        // Total number of tasks
   );

3. Launching several kernel copies (OpenCL function) with task space description and specification of the size of the group's local task subset

Parameters

kernel

[in] Handle to the OpenCL kernel.

work_dim

[in] Dimension of the tasks space.

global_work_offset[]

[in] Initial offset in the tasks space.

global_work_size[]

[in] The size of a subset of tasks.

local_work_size[]

[in] The size of the group's local task subset.

Return Value

Returns true if successful, otherwise returns false. For information about the error, use the GetLastError() function.

Note

Consider the use of the parameters in the following example:

work_dim specifies the size of work_items[] array that describes the tasks. If work_dim=3, three-dimensional array work_items[N1, N2, N3] is used.
global_work_size[] contains the values that set the work_items[] array size. If work_dim=3, global_work_size[3] array can be {40, 100, 320}. Then we have work_items[40, 100, 320]. So, the total number of tasks is 40 x 100 x 320 = 1 280 000.
local_work_size[] sets the subset of the tasks that will be executed by the specified kernel of OpenCL program. Its size is equal to work_items[] size and allows to split the common task subset into smaller subsets without loss of remainder in division. In fact, the size of local_work_size[] array should be selected so that the work_items[] global task set will be split into smaller subsets. In this example local_work_size[3]={10, 10, 10} will be OK, as work_items[40, 100, 320] can be gathered from local_items[10, 10, 10] array without division remainder.