Uses of Class
net.preibisch.mvrecon.process.cuda.CUDADevice
Packages that use CUDADevice
Package
Description
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Uses of CUDADevice in net.preibisch.mvrecon.process.cuda
Methods in net.preibisch.mvrecon.process.cuda that return types with arguments of type CUDADeviceModifier and TypeMethodDescriptionstatic ArrayList<CUDADevice> CUDATools.queryCUDADetails(CUDAStandardFunctions cuda, boolean askForMultipleDevices) static ArrayList<CUDADevice> CUDATools.queryCUDADetails(CUDAStandardFunctions cuda, boolean askForMultipleDevices, GenericDialogAppender additionalQueries) Methods in net.preibisch.mvrecon.process.cuda with parameters of type CUDADevice -
Uses of CUDADevice in net.preibisch.mvrecon.process.deconvolution.iteration.sequential
Constructors in net.preibisch.mvrecon.process.deconvolution.iteration.sequential with parameters of type CUDADeviceModifierConstructorDescriptionComputeBlockSeqThreadCUDA(ExecutorService service, float minValue, float lambda, int id, int[] blockSize, CUDAFourierConvolution cuda, CUDADevice cudaDevice) Constructor parameters in net.preibisch.mvrecon.process.deconvolution.iteration.sequential with type arguments of type CUDADeviceModifierConstructorDescriptionComputeBlockSeqThreadCUDAFactory(ExecutorService service, float minValue, float lambda, int[] blockSize, CUDAFourierConvolution cuda, HashMap<Integer, CUDADevice> idToCudaDevice) -
Uses of CUDADevice in net.preibisch.mvrecon.process.interestpointdetection.methods.dog
Fields in net.preibisch.mvrecon.process.interestpointdetection.methods.dog declared as CUDADeviceMethods in net.preibisch.mvrecon.process.interestpointdetection.methods.dog with parameters of type CUDADeviceModifier and TypeMethodDescriptionstatic <T extends net.imglib2.type.numeric.RealType<T>>
ArrayList<InterestPoint> DoGImgLib2.computeDoG(net.imglib2.RandomAccessible<T> input, net.imglib2.RandomAccessible<T> mask, net.imglib2.Interval interval, double sigma, double threshold, int localization, boolean findMin, boolean findMax, double minIntensity, double maxIntensity, int[] blockSize, ExecutorService service, CUDASeparableConvolution cuda, CUDADevice cudaDevice, boolean accurateCUDA, double percentGPUMem) DoGImgLib2.computeGaussCUDA(net.imglib2.RandomAccessibleInterval<net.imglib2.type.numeric.real.FloatType> inputFloatNonZeroMin, double[] sigma, CUDASeparableConvolution cuda, CUDADevice cudaDevice, boolean accurateCUDA, double percentGPUMem)