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| template<int BlockSize_n> |
| __global__ void | RooFit::Detail::CudaKernels::Reducers::Covariance2D (Size_t arraySize, float const *__restrict__ x, const float *__restrict__ y, double xMean, double yMean, double *__restrict__ output) |
| | Computes the covariance, variance of 'x', and variance of 'y' for a 2D data set.
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| template<class Num_t , class Den_t > |
| __global__ void | RooFit::Detail::CudaKernels::DivideBy (Size_t arraySize, Den_t *__restrict__ num, Num_t const *__restrict__ den) |
| | Divides elements of the num array in-place by corresponding elements of the den array.
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| template<class Idx_t , class Elem_t > |
| __global__ void | RooFit::Detail::CudaKernels::Lookup2D (Size_t arraySize, Idx_t n2, Idx_t const *__restrict__ x1, Idx_t const *__restrict__ x2, Elem_t const *__restrict__ lut, Elem_t *__restrict__ output) |
| | Fills an output array 'output' with values from a row-wise flattened two-dimensional lookup table lut based on input arrays x1 and x2:
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| template<int BlockSize_n, int Bins1_n, int Bins2_n, class Idx_t , class Elem_t , class Sum_t , class Counts_t > |
| __global__ void | RooFit::Detail::CudaKernels::Reducers::SumBinwise2D (int arraySize, Idx_t const *__restrict__ x1, Idx_t const *__restrict__ x2, const Elem_t *__restrict__ arr, Sum_t *__restrict__ outputSum, Counts_t *__restrict__ outputCounts) |
| | Computes bin-wise sum and count of elements from the 'arr' array into separate output arrays based on indices provided in 'x1' and 'x2' arrays, using a 2D grid-stride loop approach.
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| template<int BlockSize_n, int ElemDim_n, class Elem_t , class Sum_t > |
| __global__ void | RooFit::Detail::CudaKernels::Reducers::SumVectors (Size_t nElems, const Elem_t *__restrict__ arr, Sum_t *__restrict__ output) |
| | Performs a multi-block sum reduction on the input array arr.
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