Struct rust_gpu_tools::opencl::Program [−][src]
pub struct Program { /* fields omitted */ }
Expand description
Abstraction that contains everything to run an OpenCL kernel on a GPU.
The majority of methods are the same as crate::cuda::Program
, so you can write code using this
API, which will then work with OpenCL as well as CUDA kernels.
Implementations
Returns the name of the GPU, e.g. “GeForce RTX 3090”.
Creates a program for a specific device from OpenCL source code.
Creates a program for a specific device from a compiled OpenCL binary.
Creates a new buffer that can be used for input/output with the GPU.
The length
is the number of elements to create.
It is usually used to create buffers that are initialized by the GPU. If you want to
directly transfer data from the host to the GPU, you would use the safe
Program::create_buffer_from_slice
instead.
Safety
This function isn’t actually unsafe, it’s marked as unsafe
due to the CUDA version of it,
where it is unsafe. This is done to have symmetry between both APIs.
Creates a new buffer on the GPU and initializes with the given slice.
Returns a kernel.
The global_work_size
does not follow the OpenCL definition. It is not the total
number of threads. Instead it follows CUDA’s definition and is the number of
local_work_size
sized thread groups. So the total number of threads is
global_work_size * local_work_size
.
Puts data from an existing buffer onto the GPU.
Reads data from the GPU into an existing buffer.
Run some code in the context of the program.
It takes the program as a parameter, so that we can use the same function body, for both the OpenCL and the CUDA code path. The only difference is the type of the program.