GeNN  4.9.0
GPU enhanced Neuronal Networks (GeNN)
modular.c.h
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2  /*
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4  Copyright (c) 2015 Advanced Micro Devices, Inc.
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32 
48 #pragma once
49 #ifndef PRIVATE_MODULAR_CH
50 
51 #ifndef MODULAR_NUMBER_TYPE
52 #error "MODULAR_NUMBER_TYPE must be defined"
53 #endif
54 
55 #ifdef MODULAR_FIXED_SIZE
56 # define N MODULAR_FIXED_SIZE
57 # define MATRIX_ELEM(mat, i, j) (mat[i][j])
58 #else
59 # define MATRIX_ELEM(mat, i, j) (mat[i * N + j])
60 #endif // MODULAR_FIXED_SIZE
61 
63 #if 1
64 #define modMult(a, s, c, m) ((MODULAR_NUMBER_TYPE)(((cl_ulong) a * s + c) % m))
65 #else
66 static MODULAR_NUMBER_TYPE modMult(MODULAR_NUMBER_TYPE a, MODULAR_NUMBER_TYPE s, MODULAR_NUMBER_TYPE c, MODULAR_NUMBER_TYPE m)
67 {
68  MODULAR_NUMBER_TYPE v;
69  v = (MODULAR_NUMBER_TYPE) (((cl_ulong) a * s + c) % m);
70  return v;
71 }
72 #endif
73 
74 
76 // @details Also works if v = s.
77 // @return v = A*s % m
78 #ifdef MODULAR_FIXED_SIZE
79 static void modMatVec (MODULAR_NUMBER_TYPE A[N][N], MODULAR_NUMBER_TYPE s[N], MODULAR_NUMBER_TYPE v[N], MODULAR_NUMBER_TYPE m)
80 #else
81 void modMatVec (size_t N, MODULAR_NUMBER_TYPE* A, MODULAR_NUMBER_TYPE* s, MODULAR_NUMBER_TYPE* v, MODULAR_NUMBER_TYPE m)
82 #endif
83 {
84  MODULAR_NUMBER_TYPE x[MODULAR_FIXED_SIZE]; // Necessary if v = s
85  for (size_t i = 0; i < N; ++i) {
86  x[i] = 0;
87  for (size_t j = 0; j < N; j++)
88  x[i] = modMult(MATRIX_ELEM(A,i,j), s[j], x[i], m);
89  }
90  for (size_t i = 0; i < N; ++i)
91  v[i] = x[i];
92 }
93 
94 #undef MATRIX_ELEM
95 #undef N
96 
97 #endif
#define MATRIX_ELEM(mat, i, j)
Definition: modular.c.h:59
void modMatVec(size_t N, MODULAR_NUMBER_TYPE *A, MODULAR_NUMBER_TYPE *s, MODULAR_NUMBER_TYPE *v, MODULAR_NUMBER_TYPE m)
Matrix-vector modular multiplication.
Definition: modular.c.h:81
#define modMult(a, s, c, m)
Compute (a*s + c) % m.
Definition: modular.c.h:64
m
Definition: genn_model.py:117