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author | Chris Cannam |
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date | Wed, 20 Mar 2013 15:35:50 +0000 |
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3 <title>Reversing array dimensions - FFTW 3.3.3</title> | |
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49 <a name="Reversing-array-dimensions"></a> | |
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55 </div> | |
56 | |
57 <h3 class="section">7.2 Reversing array dimensions</h3> | |
58 | |
59 <p><a name="index-row_002dmajor-517"></a><a name="index-column_002dmajor-518"></a>A minor annoyance in calling FFTW from Fortran is that FFTW's array | |
60 dimensions are defined in the C convention (row-major order), while | |
61 Fortran's array dimensions are the opposite convention (column-major | |
62 order). See <a href="Multi_002ddimensional-Array-Format.html#Multi_002ddimensional-Array-Format">Multi-dimensional Array Format</a>. This is just a | |
63 bookkeeping difference, with no effect on performance. The only | |
64 consequence of this is that, whenever you create an FFTW plan for a | |
65 multi-dimensional transform, you must always <em>reverse the | |
66 ordering of the dimensions</em>. | |
67 | |
68 <p>For example, consider the three-dimensional (L × M × N) arrays: | |
69 | |
70 <pre class="example"> complex(C_DOUBLE_COMPLEX), dimension(L,M,N) :: in, out | |
71 </pre> | |
72 <p>To plan a DFT for these arrays using <code>fftw_plan_dft_3d</code>, you could do: | |
73 | |
74 <p><a name="index-fftw_005fplan_005fdft_005f3d-519"></a> | |
75 <pre class="example"> plan = fftw_plan_dft_3d(N,M,L, in,out, FFTW_FORWARD,FFTW_ESTIMATE) | |
76 </pre> | |
77 <p>That is, from FFTW's perspective this is a N × M × L array. | |
78 <em>No data transposition need occur</em>, as this is <em>only | |
79 notation</em>. Similarly, to use the more generic routine | |
80 <code>fftw_plan_dft</code> with the same arrays, you could do: | |
81 | |
82 <pre class="example"> integer(C_INT), dimension(3) :: n = [N,M,L] | |
83 plan = fftw_plan_dft_3d(3, n, in,out, FFTW_FORWARD,FFTW_ESTIMATE) | |
84 </pre> | |
85 <p>Note, by the way, that this is different from the legacy Fortran | |
86 interface (see <a href="Fortran_002dinterface-routines.html#Fortran_002dinterface-routines">Fortran-interface routines</a>), which automatically | |
87 reverses the order of the array dimension for you. Here, you are | |
88 calling the C interface directly, so there is no “translation” layer. | |
89 | |
90 <p><a name="index-r2c_002fc2r-multi_002ddimensional-array-format-520"></a>An important thing to keep in mind is the implication of this for | |
91 multidimensional real-to-complex transforms (see <a href="Multi_002dDimensional-DFTs-of-Real-Data.html#Multi_002dDimensional-DFTs-of-Real-Data">Multi-Dimensional DFTs of Real Data</a>). In C, a multidimensional real-to-complex DFT | |
92 chops the last dimension roughly in half (N × M × L real input | |
93 goes to N × M × L/2+1 complex output). In Fortran, because | |
94 the array dimension notation is reversed, the <em>first</em> dimension of | |
95 the complex data is chopped roughly in half. For example consider the | |
96 ‘<samp><span class="samp">r2c</span></samp>’ transform of L × M × N real input in Fortran: | |
97 | |
98 <p><a name="index-fftw_005fplan_005fdft_005fr2c_005f3d-521"></a><a name="index-fftw_005fexecute_005fdft_005fr2c-522"></a> | |
99 <pre class="example"> type(C_PTR) :: plan | |
100 real(C_DOUBLE), dimension(L,M,N) :: in | |
101 complex(C_DOUBLE_COMPLEX), dimension(L/2+1,M,N) :: out | |
102 plan = fftw_plan_dft_r2c_3d(N,M,L, in,out, FFTW_ESTIMATE) | |
103 ... | |
104 call fftw_execute_dft_r2c(plan, in, out) | |
105 </pre> | |
106 <p><a name="index-in_002dplace-523"></a><a name="index-padding-524"></a>Alternatively, for an in-place r2c transform, as described in the C | |
107 documentation we must <em>pad</em> the <em>first</em> dimension of the | |
108 real input with an extra two entries (which are ignored by FFTW) so as | |
109 to leave enough space for the complex output. The input is | |
110 <em>allocated</em> as a 2[L/2+1] × M × N array, even though only | |
111 L × M × N of it is actually used. In this example, we will | |
112 allocate the array as a pointer type, using ‘<samp><span class="samp">fftw_alloc</span></samp>’ to | |
113 ensure aligned memory for maximum performance (see <a href="Allocating-aligned-memory-in-Fortran.html#Allocating-aligned-memory-in-Fortran">Allocating aligned memory in Fortran</a>); this also makes it easy to reference the | |
114 same memory as both a real array and a complex array. | |
115 | |
116 <p><a name="index-fftw_005falloc_005fcomplex-525"></a><a name="index-c_005ff_005fpointer-526"></a> | |
117 <pre class="example"> real(C_DOUBLE), pointer :: in(:,:,:) | |
118 complex(C_DOUBLE_COMPLEX), pointer :: out(:,:,:) | |
119 type(C_PTR) :: plan, data | |
120 data = fftw_alloc_complex(int((L/2+1) * M * N, C_SIZE_T)) | |
121 call c_f_pointer(data, in, [2*(L/2+1),M,N]) | |
122 call c_f_pointer(data, out, [L/2+1,M,N]) | |
123 plan = fftw_plan_dft_r2c_3d(N,M,L, in,out, FFTW_ESTIMATE) | |
124 ... | |
125 call fftw_execute_dft_r2c(plan, in, out) | |
126 ... | |
127 call fftw_destroy_plan(plan) | |
128 call fftw_free(data) | |
129 </pre> | |
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