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agarciamontoro / ocl-notes

I am trying to learn OpenCL. And I am taking some personal notes.

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OpenCL Notes

Notes taken while reading OpenCL in Action, by Matthew Scarpino.

Host Data Structures

  • There are six data structures that need to be configured by the host:
    • Platforms: an OpenCL implementation. In my case, I have the Intel(R) OpenCL HD Graphics platform.
    • Devices: the devices that the platforms make use of. In my case, I have an Intel(R) Gen9 HD Graphics NEO GPU.
    • Contexts: a subset of selected devices controlled by the same platform. Contexts make it possible to create command queues, the structures that allow hosts to send kernels to devices.
    • Programs: basically a set of kernels. They can be compiled and used later to define the kernels.
    • Kernels: functions in programs that can be deployed to a device.
    • Command queues: a one-way communication between a host and a single device: the host queues operations (kernels, data transfers, data copies...) for the device to execute.

Platforms

  1. Allocate memory to create a cl_platform_id structure.
  2. Call clGetPlatformIDs to populate the previous structure. The signature of this function is:
cl_int clGetPlatformIDs(cl_uint num_entries, cl_platform_id* platforms, cl_uint *num_platforms)

meaning that you want to detect a maximum of num_entries platforms, which will be placed in the memory pointed by platforms. The final number of platforms installed will be returned in the memory pointed by num_platforms. So I guess that the number of platforms returned is min(num_entries, num_platforms). Or maybe num_platforms is always upper bounded by num_entries. I need to check this. One cool thing to do here is to call clGetPlatformIDs with platforms = null, so we can just know the number of platforms available. With this number, we can allocate as much cl_platform_id structures as we need, calling the function again to populate these structures. 3. If one needs to know anything else about the platform, one can use the function clGetPlatformInfo, whose signature is

cl_int clGetPlatformInfo(cl_platform_id platform, cl_platform_info parameter, size_t param_value_size, void *param_value, size_t *param_value_size_ret)

This means that I want to know the value of the parameter parameter: it will be returned in the memory pointed by param_value, and the size of the returned char array will be stored in param_value_size_ret. Every parameter value returned here is an array of chars. As before, if you want to know in advance the length of the returned value, call clGetPlatformInfo with the name of the parameter and param_value = null so you just retrieve the length in param_value_size_ret. Then, allocate as many memory as told by this returned size and call the function again with your newly allocated param_value.

Devices

  1. Allocate memory to create a cl_device_id structure.
  2. Call clGetDeviceIDs to populate the previous structure. The signature of the function is:
cl_int clGetDeviceIDs(cl_platform_id platform, cl_device_type device_type, 	cl_uint num_entries, cl_device_id* devices, cl_uint *num_devices)

The meaning of the parameters is as before, but now it also expects the platform ID populated before and the type of the device (CPU, GPU, accelerator...). As before, one can leave any of devices or num_devices null to just retrieve the desired information. 3. As before, more information can be queried using clGetDeviceInfo:

cl_int clGetDeviceInfo(cl_devide_id device, cl_device_info param_name, size_t param_value_size, void *param_value, size_t *param_value_size_ret)

This works as before, but not every returned value is a char array, and the number of different parameters is huge.

Contexts

To create contexts, there are two alternatives:

  • specify the devices that the context should control.
  • specify the type of devices that the context should control: i.e., the context will pick the devices whose type complaints with the type passed.

The signature of both functions is similar:

cl_context clCreateContext(const cl_context_properties *properties,  cl_uint num_devices, const cl_device_id *devices, (void CL_CALLBACK *notify_func)(...), void *user_data, cl_int *error)
cl_context clCreateContextFromType(const cl_context_properties *properties,  cl_device_type *device_type, (void CL_CALLBACK *notify_func)(...), void *user_data, cl_int *error)

As you can guess, you don't need to allocate memory for the context structure, as it is directly returned by the function.

The common parameters are:

  • properties: an array of names and values of properties; the last element should be 0. Something like cl_context_properties context_props[] = {CL_CONTEXT_PLATFORM, (cl_context_properties)platforms[0], CL_GL_CONTEXT_KHR, (cl_context_properties)glXGetCurrentContext(), CL_GLX_DISPLAY_KHR, (cl_context_properties)glXGetCurrentDisplay(), 0};
  • notify_func: a callback function that will be called whenever an error occurs.
  • user_data: a set of user-defined data with whichever shape the user decides. This data is accessed by the callback function when it is called.
  • error: an integer that will be populated with the return code of the function when it finishes. If the context is created successfully, then the error will be 0.

The num_devices and devices parameters of the first function define the specific devices the context will be built for. The device_type of the second function specifies the type of devices that will be selected for this context.

I guess that the properties must hold at least the platform to which this context is bound, but I'm not that sure. I need to check this.

As before, one can retrieve more information about a context by using

cl_int clGetContextInfo(cl_context context, cl_context_info param_name, size_t param_value_size, void *param_value, size_t *param_value_size_ret)

As before, set the param_value pointer to null if you just want to know the size you need to allocate for it.

Contexts have reference counts; i.e., the structure is only deallocated when its reference count reaches zero. To increase the counter, use clRetainContext; to decrease it, use clReleaseContext. The scope in which a context is created should always call clReleaseContext before the scope finishes. Any function that uses a pre-existing context must use it preceded by a call to clRetainContext and must finish with a call to clReleaseContext.

Programs

Create

A program cannot be read directly from a file handle, but must be read into a buffer first. There are two alternatives to load a program:

cl_program clCreateProgramWithSource(cl_context context, cl_uint src_num, const char **src_strings, const size_t *src_sizes, cl_int *err_code)
cl_program clCreateProgramWithBinary(cl_context context, cl_uint num_devices, const cl_device_id *devices, const size_t *bin_sizes, const unsigned char **bins, cl_int *bin_sattus, cl_int *err_code)

clCreateProgramWithSource expects the code in text form, with src_num files passed in src_strings, each one of them with the corresponding length stored in src_sizes.

I don't know much about the second option yet.

Compile

In order to compile the program, one may use the following function:

clBuildProgram(cl_program program, cl_uint num_devices, const cl_device_id *devices, const char *options, (void CL_CALLBACK *notify_func)(...), void *user_data)

The program parameter is the structure returned by clCreateProgramWithWhatever. The num_devices and devices specify the devices for which the program will be built. The options parameter specifies the compilation options. As usual, the notify_func is a callback function that will be called whenever the build finishes: if it is not null, clBuildProgram will return immediately; if it is null, it will block until the build finishes. And user_data is the data passed to notify_func.

This function does not give much information about the build process. If we need to know something about it, we can use the following functions:

cl_int clGetContextInfo(cl_program program, cl_program_info param_name, size_t param_value_size, void *param_value, size_t *param_value_size_ret)
cl_int clGetProgramBuildInfo(cl_program program, cl_device_id device, cl_program_build_info param_name, size_t param_value_size, void *param_value, size_t *param_value_size_ret)

The first one works exactly as the clGetWhateverInfo that we have already seen. The second one only adds an identifier of the device for which the program was built. The possible values for cl_program_info param_name are CL_PROGRAM_BUILD_STATUS, CL_PROGRAM_BUILD_OPTIONS and CL_PROGRAM_BUILD_LOG, which are self-explanatory. As usual, we can set param_value to null so that we retrieve the size of the returned value, allocate the needed memory and call the function again with the new pointer.

Kernels

Once a program has been created and built, the kernels can be retrieved: either all of the kernels defined in a program or a specific one identified by its name:

cl_int clCreateKernelsInProgram(cl_program program, cl_uint num_kernels, cl_kernel *kernels, cl_uint *num_kernels_ret);
cl_kernel clCreateKernel(cl_program program, const char *kernel_name, cl_int *error)

Both need to receive a cl_program structure. The first retrieves all the kernels, that are stored in kernels (the return value is an error code); the second identifies the kernel by its name and is returned by the function (the error code is returned using the pointer error).

As with previous structures, if you want to retrieve information about the kernel, you can use the function

clGetKernelInfo(cl_kernel kernel, cl_kernel_info param_name, size_t param_value_size, void *param_value, size_t *param_value_size_ret)

The possible values for param_name are:

  • CL_KERNEL_FUNCTION_NAME
  • CL_KERNEL_NUM_ARGS
  • CL_KERNEL_REFERENCE_COUNT
  • CL_KERNEL_CONTEXT
  • CL_KERNEL_PROGRAM

Command queues

No retrieval of information, no alternatives to create queues in different ways. Just one function:

cl_command_queue clCreateCommandQueue(cl_context context, cl_device_id device, cl_command_queue_properties properties, cl_int *err)

Note: this function is deprecated as of OpenCL 2.0, where it was replaced by clCreateCommandQueueWithProperties.

It needs a context, a device and a structure of properties. The error code is returned in err. The device must be associated with the context. The available properties are:

  • CL_QUEUE_OUT_OF_ORDER_EXEC_MODE_ENABLE
  • CL_QUEUE_PROFILING_ENABLE

As with contexts, the reference count of the returned command queue can be increased calling clRetainCommandQueue and decreased calling clReleaseCommandQueue.

In order to use queues there are some functions whose names start with clEnqueue, as

cl_int clEnqueueTask(cl_command_queue queue, cl_kernel kernel, cl_uint num_events, const cl_event *wait_list, cl_event *event)

This function enqueues a kernel into a command queue. The num_events and wait_list parameters specify a list of events that must be finished before executing this kernel. The event parameter, if not null, will be populated with a unique event that can be used to identify this particular kernel execution.

Transferring Data from Host to Device

In order to set the arguments of a kernel, one needs to set them one by one by calling the next function:

cl_int clSetKernelArg(cl_kernel kernel, cl_uint index, size_t size, const void *value)

The index is the index of the argument in the kernel, while the value is a pointer to the object that will be used by the device.

This pointer can point to:

  • primitive data
  • memory objects
  • sampler objects
  • it can be null, meaning that the device will just allocate memory.

Memory Objects

Memory objects are represented by cl_mem structures. They can be buffer or image objects.

Buffer Objects

In order to create a new buffer, use the following function:

cl_mem clCreateBuffer(cl_context context, cl_mem_flags options, size_t size, void *host_ptr, cl_int *error)

The cl_mem returned is a wrapper around the host memory pointed by host_ptr. The options parameter should be a combination of flags, with one flag describing how the device will access the memory (one of the mutually exclusive CL_MEM_READ_WRITE, CL_MEM_WRITE_ONLY and CL_MEM_READ_ONLY) and a combination of flags describing how the object is allocated in the host (possible flags are CL_MEM_USE_HOST_PTR CL_MEM_COPY_HOST_PTR and CL_MEM_ALLOC_HOST_PTR).

The host does not allocate memory for a write only buffer, so the host_ptr may be null in those cases.

Subbuffers

A subbuffer is just a view of an existing buffer, and can be created with the function:

clCreateSubBuffer(cl_mem buffer, cl_mem_flags flags, cl_buffer_create_type type, const void *info, cl_int *error)

This creates a subbuffer of the provided buffer, whose beginning position and size is specified by the info argument, which expects a pointer to a struct of type

typedef struct _cl_buffer_region {
	size_t origin;
	size_t size;
} cl_buffer_region;

The available flags may be the same as the ones used when creating a buffer and the type should be always equal to CL_BUFFER_CREATE_TYPE_REGION.

We can retrieve information about buffer objects by using

cl_int clGetMemObjectInfo(cl_mem object, cl_mem_info param_name, size_t param_value_size, void *param_value, size_t *param_value_size_ret)

The possible parameters to retrieve are:

  • CL_MEM_TYPE
  • CL_MEM_FLAGS
  • CL_MEM_HOST_PTR
  • CL_MEM_SIZE
  • CL_MEM_CONTEXT
  • CL_MEM_ASSOCIATED_MEMOBJECT
  • CL_MEM_OFFSET
  • CL_MEM_REFERENCE_COUNT
  • CL_MEM_D3D10_RESOURCE_KHR

Image Objects

Image objects are cl_mem structures created very much in the same way that buffers are created, but using the following functions:

cl_mem clCreateImage2D (cl_context context, cl_mem_flags opts, const cl_image_format *format, size_t width, size_t height, size_t row_pitch, void *data, cl_int *error)
cl_mem clCreateImage3D (cl_context context, cl_mem_flags opts, const cl_image_format *format, size_t width, size_t height, size_t depth, size_t row_pitch, size_t slice_pitch, void *data, cl_int *error)

We can allocate 2D and 3D images, which are just 2D or 3D structures of data. The arguments context and opts behave in the same way than in the case of buffers. The width, height and depth arguments set the structure of the data (in pixels), and the *_pitch arguments set the pitch of the image; i.e., the number of bytes per row (and per slice in the 3D case). The pitch arguments will usualy be 0, which tells OpenCL that the number of bytes per row can be computed as the number of pixels in a row multiplied by the number of bytes per pixel. This may not be the case, e.g., when the rows are padded to align the memory.

Regarding the third argument, format, it is a pointer to a structure like

typedef struct _cl_image_format {
	cl_channel_order image_channel_order;
	cl_channel_type image_channel_data_type;
} cl_image_format;

It sets the order in which the channels RGBA (if present) are stored (the usual RGBA is CL_RGBA) and the type and number of bits per channel (the usual 8-bit image is CL_UNSIGNED_INT8).

As before, one can get information about an image object by using the function

cl_int clGetImageInfo(cl_mem image,	cl_image_info param_name, size_t param_value_size, void *param_value, size_t *param_value_size_ret)

The possible parameters to retrieve are:

  • CL_IMAGE_FORMAT
  • CL_IMAGE_ELEMENT_SIZE
  • CL_IMAGE_ROW_PITCH
  • CL_IMAGE_SLICE_PITCH
  • CL_IMAGE_WIDTH
  • CL_IMAGE_HEIGHT
  • CL_IMAGE_DEPTH
  • CL_IMAGE_D3D10_SUBRESOURCE_KHR

Transferring Data

We know how to transfer data from the device to the host using memory/image objects and setting the kernel parameters (when this transfer is done depends on the specific implementation, but the standard ensures that the data is accesible by the device when the kernel is executed, so the copy usually happens as soon as the kernel is set).

We need to enqueue reads and writes using the functions clEnqueue[X][Y] where [X] may be Read or Write and [Y] is one of Buffer, Image or BufferRect. All of them have a blocking parameter that sets the blocking status of the function: if it is set to CL_TRUE, the function will block until the operation is done; if it is CL_FALSE, it will not. We use origin[3] and region[3] in the Image functions to specicfy the origin pixel and the dimensions of the square (or cube) that we are interested in. If we want to do the same thing with a non-image object, we can use the BufferRect functions, which use buffer_origin[3], host_origin[3] and region[3] in the same way as before.

Mapping data

As in C, one can map buffer data to the host memory address space. The main idea is to map buffer/image objects to the host and use common memory primitives to read/write into those objects instead of using the clEnqueue[X][Y] functions. In order to map and unmap regions of buffers and images, the functions to use are:

void* clEnqueueMapBuffer(cl_command_queue queue, cl_mem buffer, cl_bool blocking, cl_map_flags map_flags, size_t offset, size_t data_size, cl_uint num_events, const cl_event *wait_list, cl_event *event, cl_int *errcode_ret)
void* clEnqueueMapImage(cl_command_queue queue, cl_mem image, cl_bool blocking, cl_map_flags map_flags, const size_t origin[3], const size_t region[3], size_t *row_pitch, size_t *slice_pitch, cl_uint num_events, const cl_event *wait_list, cl_event *event, cl_int *errcode_ret)
int clEnqueueUnmapMemObject(cl_command_queue queue, cl_mem memobj, void *mapped_ptr, cl_uint num_events, const cl_event *wait_list, cl_event *event)

The void* pointer returned by the map functions identify the start of the memory that maps to the object and is the parameter that the unmap function expects. The flags in the map functions can be any combination of the flags CL_MAP_READ and CL_MAP_WRITE.

The process to use mapped memory is:

  1. map the memory
  2. transfer the data using some primitive like memcpy
  3. unmap the memory

Copying Data between Memory Objects

We now know how to copy memory from host to device and from device to host, using explicit read/write functions or memory mappings. But we can also copy data between memory objects. This is accomplished with the functions clEnqueueCopy[X] where [X] may be Buffer or Image to copy data between objects of the same type, BufferToImage or ImageToBuffer to copy data between objects of different type, or BufferRect to copy rectangular regions of data between buffers.

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I am trying to learn OpenCL. And I am taking some personal notes.