Radeon opencl driver code#
Synchronization points in a kernel guarantee that all work-items in a work-group reach that point (barrier) in the code before the next statement is executed. Grouping is a higher-level granularity of data parallelism that is enforced in software, not hardware. This means that if two work-items inside of a wavefront go divergent paths of flow control, all work-items in the wavefront go to both paths of flow control. A wavefront is the lowest level that flow control can affect. On most AMD GPUs, a wavefront has 64 work-items. Wavefronts and work-groups are two concepts relating to compute kernels that provide data-parallel granularity. Thus, the work-item IDs for wavefront K are in the range (K This means that on a chip with N work-items per wavefront, the first N work- items go to wavefront 1, the second N work-items go to wavefront 2, etc. In a compute kernel, the work-item spawn order is sequential. The compute kernel type can be used for graphics, but its strength lies in using it for non-graphics fields such as physics, AI, modeling, HPC, and various other computationally intensive applications. Kernels are specified using the kernel keyword.Ī compute kernel is a specific type of kernel that is not part of the traditional graphics pipeline. Subsequent extensions of the basic model provide random-access functionality, variable output counts, and reduction/accumulation operations. The most basic form of an NDRange is simply mapped over input data and produces one output item for each input tuple. This kernel is not to be confused with an OS kernel, which controls hardware. A kernel is analogous and, on some devices identical, to what graphics programmers call a shader program. Such a kernel can be executed on each element of an input stream (called an NDRange), or simply at each point in an arbitrary index space. A kernel is a small unit of execution that performs a clearly defined function and that can be executed in parallel. To define a compute kernel, it is first necessary to define a kernel.
Radeon opencl driver driver#
The OpenCL Installable Client Driver (ICD) Supported Standard OpenCL Compiler OptionsĪMD-Developed Supplemental Compiler Optionsĭownloading and installing CodeXL and Radeon Compute ProfilerĪdditions and Changes to Section 5 - The OpenCL C RuntimeĪdditions and Changes to Section 6 - The OpenCL 1.2 C Programming Languageĭevice-side enqueue and workgroup/sub-group level functions
Radeon opencl driver software#
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