reqd_work_group_size

Description

When OpenCL kernels are submitted for execution on an OpenCL device, they execute within an index space, called an ND range, which can have 1, 2, or 3 dimensions. This is called the global size in the OpenCL API. The work-group size defines the amount of the ND range that can be processed by a single invocation of a kernel compute unit. The work-group size is also called the local size in the OpenCL API. The OpenCL compiler can determine the work-group size based on the properties of the kernel and selected device. Once the work-group size (local size) has been determined, the ND range (global size) is divided automatically into work-groups, and the work-groups are scheduled for execution on the device.

Although the OpenCL compiler can define the work-group size, the specification of thereqd_work_group_sizeattribute on the kernel to define the work-group size is highly recommended for FPGA implementations of the kernel. The attribute is recommended for performance optimization during the generation of the custom logic for a kernel.SeeOpenCL Execution Modelfor more information.

Tip:In the case of an FPGA implementation, the specification of the reqd_work_group_sizeattribute is highly recommended as it can be used for performance optimization during the generation of the custom logic for a kernel.

OpenCL kernel functions are executed exactly one time for each point in the ND range index space. This unit of work for each point in the ND range is called a work-item. Work-items are organized into work-groups, which are the unit of work scheduled onto compute units. The optionalreqd_work_group_sizedefines the work-group size of a compute unit that must be used as thelocal_work_sizeargument toclEnqueueNDRangeKernel. This allows the compiler to optimize the generated code appropriately for this kernel.

Syntax

Place this attribute before the kernel definition, or before the primary function specified for the kernel:__attribute__((reqd_work_group_size(X,Y,Z)))

Where:
  • X,Y,Z: Specifies the ND range of the kernel. This represents each dimension of a three dimensional matrix specifying the size of the work-group for the kernel.

Examples

The following OpenCL API C kernel code shows a vector addition design where two arrays of data are summed into a third array. The required size of the work-group is 16x1x1. This kernel will execute 16 times to produce a valid result.

#include  // For VHLS OpenCL C kernels, the full work group is synthesized __attribute__ ((reqd_work_group_size(16, 1, 1))) __kernel void vadd(__global int* a, __global int* b, __global int* c) { int idx = get_global_id(0); c[idx] = a[idx] + b[idx]; }

See Also