Xmipp  v3.23.11-Nereus
cuda_correlation_computer.h
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3  * Authors: David Strelak (davidstrelak@gmail.com)
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5  * Unidad de Bioinformatica of Centro Nacional de Biotecnologia , CSIC
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25 
26 #ifndef LIBRARIES_RECONSTRUCTION_CUDA_CORRELATION_COMPUTER_H_
27 #define LIBRARIES_RECONSTRUCTION_CUDA_CORRELATION_COMPUTER_H_
28 
30 #include "gpu.h"
32 
36 template<typename T>
38 public:
40  setDefault();
41  }
42 
44  release();
45  }
46 
47  void loadReference(const T *ref) override;
48  void compute(T *others) override;
49 
50 private:
51  struct ResRaw { // non-normalize result
52  T corr;
53  T sum;
54  T sumSqr;
55  };
56 
57  struct ResRef {
58  T sum;
59  T sumSqr;
60  };
61 
62  struct Stat {
63  T avg;
64  T stddev;
65  };
66 
67  struct ResNorm { // normalized result
68  T corr;
69  };
70 
71  bool canBeReused(const MeritSettings &s) const override;
72  void initialize(bool doAllocation) override;
73  void release();
74  void setDefault();
75  void check() override;
76  void allocate();
77 
78  void computeCorrStatOneToNNormalize();
79  void computeAvgStddevForRef();
80  template<bool NORMALIZE>
81  void computeOneToN();
82  template<bool NORMALIZE>
83  void storeResultOneToN();
84 
85  template<typename U>
86  Stat computeStat(U r, size_t norm);
87 
88  // GPU memory
89  T *m_d_ref;
90  T *m_d_others;
91  T *m_d_corrRes;
92  // CPU memory
93  ResRef *m_h_ref_corrRes; // used only when normalization is requested
94  void *m_h_corrRes; // actual type depends on the merit type
95  // others
96  GPU *m_stream;
97 
98 };
100 #endif /* LIBRARIES_RECONSTRUCTION_CUDA_CORRELATION_COMPUTER_H_ */
T norm(const std::vector< T > &v)
Definition: vector_ops.h:399
void loadReference(const T *ref) override
Definition: gpu.h:36
struct stat Stat
void compute(T *others) override
check(nparam, nf, nfsr, &Linfty, nineq, nineqn, neq, neqn, ncsrl, ncsrn, mode, &modem, eps, bgbnd, param)