This stage multiplies a precomputed mask with the reconstructed image. More...

#include <Masking.h>

Collaboration diagram for risa::cuda::Masking:

Public Types
using	input_type = glados::Image< glados::cuda::DeviceMemoryManager< float, glados::cuda::async_copy_policy >>
	The input data type that needs to fit the output type of the previous stage. More...

using	output_type = glados::Image< glados::cuda::DeviceMemoryManager< float, glados::cuda::async_copy_policy >>
	The output data type that needs to fit the input type of the following stage. More...

Public Member Functions
	Masking (const std::string &configFile)
	Initializes everything, that needs to be done only once. More...

	~Masking ()
	Destroys everything that is not destroyed automatically. More...

auto	process (input_type &&img) -> void
	Pushes the filtered parallel beam sinogram to the processor-threads. More...

auto	wait () -> output_type
	Takes one image from the output queue results_ and transfers it to the neighbored stage. More...

Private Member Functions
auto	processor (int deviceID) -> void
	main data processing routine executed in its own thread for each CUDA device, that performs the data processing of this stage More...

auto	readConfig (const std::string &configFile) -> bool
	Read configuration values from configuration file. More...

Private Attributes
std::map< int, glados::Queue< input_type > >	imgs_
	one separate input queue for each available CUDA device More...

glados::Queue< output_type >	results_
	the output queue in which the processed sinograms are stored More...

std::map< int, std::thread >	processorThreads_
	stores the processor()-threads More...

std::map< int, cudaStream_t >	streams_
	stores the cudaStreams that are created once More...

int	numberOfDevices_
	the number of available CUDA devices in the system More...

int	numberOfPixels_
	the number of pixels in the reconstruction grid in one dimension More...

bool	performNormalization_ {true}
	specifies, if the normalization via thrust shall be performed (! performance drop, so far) More...

float	maskingValue_ {0.0}
	the value to which the masked area should be set More...

Detailed Description

This stage multiplies a precomputed mask with the reconstructed image.

This class represents a masking stage. It multiplies the reconstructed image with a precomputed mask in a CUDA kernel, to hide irrelevant areas.

Definition at line 43 of file Masking.h.

Member Typedef Documentation

using risa::cuda::Masking::input_type = glados::Image<glados::cuda::DeviceMemoryManager<float, glados::cuda::async_copy_policy>>

The input data type that needs to fit the output type of the previous stage.

Definition at line 47 of file Masking.h.

using risa::cuda::Masking::output_type = glados::Image<glados::cuda::DeviceMemoryManager<float, glados::cuda::async_copy_policy>>

The output data type that needs to fit the input type of the following stage.

Definition at line 49 of file Masking.h.

Constructor & Destructor Documentation

risa::cuda::Masking::Masking ( const std::string & configFile )

Initializes everything, that needs to be done only once.

Runs as many processor-thread as CUDA devices are available in the system.

Parameters

[in] configFile path to configuration file

Definition at line 55 of file Masking.cu.

risa::cuda::Masking::~Masking ( )

Destroys everything that is not destroyed automatically.

Destroys the cudaStreams.

Definition at line 80 of file Masking.cu.

Member Function Documentation

auto risa::cuda::Masking::process ( input_type && img ) -> void

Pushes the filtered parallel beam sinogram to the processor-threads.

Parameters

[in] inp input data that arrived from previous stage

Definition at line 88 of file Masking.cu.

auto risa::cuda::Masking::processor ( int deviceID ) -> void

private

main data processing routine executed in its own thread for each CUDA device, that performs the data processing of this stage

This method takes one reconstruced image from the queue. It calls the masking CUDA kernel in its own stream. After the multiplication of the mask with the image, the result is pushed into the output queue

Parameters

[in] deviceID specifies on which CUDA device to execute the device functions

Definition at line 113 of file Masking.cu.

auto risa::cuda::Masking::readConfig ( const std::string & configFile ) -> bool

private

Read configuration values from configuration file.

All values needed for setting up the class are read from the config file in this function.

Parameters

[in] configFile path to config file

Return values

true	configuration options were read successfully
false	configuration options could not be read successfully

Definition at line 146 of file Masking.cu.

auto risa::cuda::Masking::wait ( ) -> output_type

Takes one image from the output queue results_ and transfers it to the neighbored stage.

Returns: the oldest reconstructed image in the output queue results_

Definition at line 109 of file Masking.cu.

Member Data Documentation

std::map<int, glados::Queue<input_type> > risa::cuda::Masking::imgs_

private

one separate input queue for each available CUDA device

Definition at line 82 of file Masking.h.

float risa::cuda::Masking::maskingValue_ {0.0}

private

the value to which the masked area should be set

Definition at line 103 of file Masking.h.

int risa::cuda::Masking::numberOfDevices_

private

the number of available CUDA devices in the system

Definition at line 98 of file Masking.h.

int risa::cuda::Masking::numberOfPixels_

private

the number of pixels in the reconstruction grid in one dimension

Definition at line 100 of file Masking.h.

bool risa::cuda::Masking::performNormalization_ {true}

private

specifies, if the normalization via thrust shall be performed (! performance drop, so far)

Definition at line 102 of file Masking.h.

std::map<int, std::thread> risa::cuda::Masking::processorThreads_

private

stores the processor()-threads

Definition at line 85 of file Masking.h.

glados::Queue<output_type> risa::cuda::Masking::results_

private

the output queue in which the processed sinograms are stored

Definition at line 83 of file Masking.h.

std::map<int, cudaStream_t> risa::cuda::Masking::streams_

private

stores the cudaStreams that are created once

Definition at line 86 of file Masking.h.

The documentation for this class was generated from the following files:

/home/frust45/RISA/RISA/risaLib/include/risa/Masking/Masking.h
/home/frust45/RISA/RISA/risaLib/src/Masking/Masking.cu

Public Types

Public Member Functions

Private Member Functions

Private Attributes

Detailed Description

Member Typedef Documentation

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation