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| <h1>arm_mat_mult_fast_q31.c</h1> </div> |
| </div> |
| <div class="contents"> |
| <a href="arm__mat__mult__fast__q31_8c.html">Go to the documentation of this file.</a><div class="fragment"><pre class="fragment"><a name="l00001"></a>00001 <span class="comment">/* ---------------------------------------------------------------------- </span> |
| <a name="l00002"></a>00002 <span class="comment">* Copyright (C) 2010 ARM Limited. All rights reserved. </span> |
| <a name="l00003"></a>00003 <span class="comment">* </span> |
| <a name="l00004"></a>00004 <span class="comment">* $Date: 15. July 2011 </span> |
| <a name="l00005"></a>00005 <span class="comment">* $Revision: V1.0.10 </span> |
| <a name="l00006"></a>00006 <span class="comment">* </span> |
| <a name="l00007"></a>00007 <span class="comment">* Project: CMSIS DSP Library </span> |
| <a name="l00008"></a>00008 <span class="comment">* Title: arm_mat_mult_fast_q31.c </span> |
| <a name="l00009"></a>00009 <span class="comment">* </span> |
| <a name="l00010"></a>00010 <span class="comment">* Description: Q31 matrix multiplication (fast variant). </span> |
| <a name="l00011"></a>00011 <span class="comment">* </span> |
| <a name="l00012"></a>00012 <span class="comment">* Target Processor: Cortex-M4/Cortex-M3</span> |
| <a name="l00013"></a>00013 <span class="comment">* </span> |
| <a name="l00014"></a>00014 <span class="comment">* Version 1.0.10 2011/7/15 </span> |
| <a name="l00015"></a>00015 <span class="comment">* Big Endian support added and Merged M0 and M3/M4 Source code. </span> |
| <a name="l00016"></a>00016 <span class="comment">* </span> |
| <a name="l00017"></a>00017 <span class="comment">* Version 1.0.3 2010/11/29 </span> |
| <a name="l00018"></a>00018 <span class="comment">* Re-organized the CMSIS folders and updated documentation. </span> |
| <a name="l00019"></a>00019 <span class="comment">* </span> |
| <a name="l00020"></a>00020 <span class="comment">* Version 1.0.2 2010/11/11 </span> |
| <a name="l00021"></a>00021 <span class="comment">* Documentation updated. </span> |
| <a name="l00022"></a>00022 <span class="comment">* </span> |
| <a name="l00023"></a>00023 <span class="comment">* Version 1.0.1 2010/10/05 </span> |
| <a name="l00024"></a>00024 <span class="comment">* Production release and review comments incorporated. </span> |
| <a name="l00025"></a>00025 <span class="comment">* </span> |
| <a name="l00026"></a>00026 <span class="comment">* Version 1.0.0 2010/09/20 </span> |
| <a name="l00027"></a>00027 <span class="comment">* Production release and review comments incorporated. </span> |
| <a name="l00028"></a>00028 <span class="comment">* -------------------------------------------------------------------- */</span> |
| <a name="l00029"></a>00029 |
| <a name="l00030"></a>00030 <span class="preprocessor">#include "<a class="code" href="arm__math_8h.html">arm_math.h</a>"</span> |
| <a name="l00031"></a>00031 |
| <a name="l00072"></a><a class="code" href="group___matrix_mult.html#ga2785e8c1b785348b0c439b56aaf585a3">00072</a> <a class="code" href="arm__math_8h.html#a5e459c6409dfcd2927bb8a57491d7cf6" title="Error status returned by some functions in the library.">arm_status</a> <a class="code" href="group___matrix_mult.html#ga2785e8c1b785348b0c439b56aaf585a3" title="Q31 matrix multiplication (fast variant) for Cortex-M3 and Cortex-M4.">arm_mat_mult_fast_q31</a>( |
| <a name="l00073"></a>00073 <span class="keyword">const</span> <a class="code" href="structarm__matrix__instance__q31.html" title="Instance structure for the Q31 matrix structure.">arm_matrix_instance_q31</a> * pSrcA, |
| <a name="l00074"></a>00074 <span class="keyword">const</span> <a class="code" href="structarm__matrix__instance__q31.html" title="Instance structure for the Q31 matrix structure.">arm_matrix_instance_q31</a> * pSrcB, |
| <a name="l00075"></a>00075 <a class="code" href="structarm__matrix__instance__q31.html" title="Instance structure for the Q31 matrix structure.">arm_matrix_instance_q31</a> * pDst) |
| <a name="l00076"></a>00076 { |
| <a name="l00077"></a>00077 <a class="code" href="arm__math_8h.html#adc89a3547f5324b7b3b95adec3806bc0" title="32-bit fractional data type in 1.31 format.">q31_t</a> *pIn1 = pSrcA-><a class="code" href="structarm__matrix__instance__q31.html#a09a64267c0579fef086efc9059741e56">pData</a>; <span class="comment">/* input data matrix pointer A */</span> |
| <a name="l00078"></a>00078 <a class="code" href="arm__math_8h.html#adc89a3547f5324b7b3b95adec3806bc0" title="32-bit fractional data type in 1.31 format.">q31_t</a> *pIn2 = pSrcB-><a class="code" href="structarm__matrix__instance__q31.html#a09a64267c0579fef086efc9059741e56">pData</a>; <span class="comment">/* input data matrix pointer B */</span> |
| <a name="l00079"></a>00079 <a class="code" href="arm__math_8h.html#adc89a3547f5324b7b3b95adec3806bc0" title="32-bit fractional data type in 1.31 format.">q31_t</a> *pInA = pSrcA-><a class="code" href="structarm__matrix__instance__q31.html#a09a64267c0579fef086efc9059741e56">pData</a>; <span class="comment">/* input data matrix pointer A */</span> |
| <a name="l00080"></a>00080 <span class="comment">// q31_t *pSrcB = pSrcB->pData; /* input data matrix pointer B */ </span> |
| <a name="l00081"></a>00081 <a class="code" href="arm__math_8h.html#adc89a3547f5324b7b3b95adec3806bc0" title="32-bit fractional data type in 1.31 format.">q31_t</a> *pOut = pDst-><a class="code" href="structarm__matrix__instance__q31.html#a09a64267c0579fef086efc9059741e56">pData</a>; <span class="comment">/* output data matrix pointer */</span> |
| <a name="l00082"></a>00082 <a class="code" href="arm__math_8h.html#adc89a3547f5324b7b3b95adec3806bc0" title="32-bit fractional data type in 1.31 format.">q31_t</a> *px; <span class="comment">/* Temporary output data matrix pointer */</span> |
| <a name="l00083"></a>00083 <a class="code" href="arm__math_8h.html#adc89a3547f5324b7b3b95adec3806bc0" title="32-bit fractional data type in 1.31 format.">q31_t</a> sum; <span class="comment">/* Accumulator */</span> |
| <a name="l00084"></a>00084 uint16_t numRowsA = pSrcA-><a class="code" href="structarm__matrix__instance__q31.html#a63bacac158a821c8cfc06088d251598c">numRows</a>; <span class="comment">/* number of rows of input matrix A */</span> |
| <a name="l00085"></a>00085 uint16_t numColsB = pSrcB-><a class="code" href="structarm__matrix__instance__q31.html#abd161da7614eda927157f18b698074b1">numCols</a>; <span class="comment">/* number of columns of input matrix B */</span> |
| <a name="l00086"></a>00086 uint16_t numColsA = pSrcA-><a class="code" href="structarm__matrix__instance__q31.html#abd161da7614eda927157f18b698074b1">numCols</a>; <span class="comment">/* number of columns of input matrix A */</span> |
| <a name="l00087"></a>00087 uint16_t col, i = 0u, j, row = numRowsA, colCnt; <span class="comment">/* loop counters */</span> |
| <a name="l00088"></a>00088 <a class="code" href="arm__math_8h.html#a5e459c6409dfcd2927bb8a57491d7cf6" title="Error status returned by some functions in the library.">arm_status</a> <a class="code" href="arm__dotproduct__example__f32_8c.html#a88ccb294236ab22b00310c47164c53c3">status</a>; <span class="comment">/* status of matrix multiplication */</span> |
| <a name="l00089"></a>00089 |
| <a name="l00090"></a>00090 |
| <a name="l00091"></a>00091 <span class="preprocessor">#ifdef ARM_MATH_MATRIX_CHECK</span> |
| <a name="l00092"></a>00092 <span class="preprocessor"></span> |
| <a name="l00093"></a>00093 |
| <a name="l00094"></a>00094 <span class="comment">/* Check for matrix mismatch condition */</span> |
| <a name="l00095"></a>00095 <span class="keywordflow">if</span>((pSrcA-><a class="code" href="structarm__matrix__instance__q31.html#abd161da7614eda927157f18b698074b1">numCols</a> != pSrcB-><a class="code" href="structarm__matrix__instance__q31.html#a63bacac158a821c8cfc06088d251598c">numRows</a>) || |
| <a name="l00096"></a>00096 (pSrcA-><a class="code" href="structarm__matrix__instance__q31.html#a63bacac158a821c8cfc06088d251598c">numRows</a> != pDst-><a class="code" href="structarm__matrix__instance__q31.html#a63bacac158a821c8cfc06088d251598c">numRows</a>) || (pSrcB-><a class="code" href="structarm__matrix__instance__q31.html#abd161da7614eda927157f18b698074b1">numCols</a> != pDst-><a class="code" href="structarm__matrix__instance__q31.html#abd161da7614eda927157f18b698074b1">numCols</a>)) |
| <a name="l00097"></a>00097 { |
| <a name="l00098"></a>00098 <span class="comment">/* Set status as ARM_MATH_SIZE_MISMATCH */</span> |
| <a name="l00099"></a>00099 status = <a class="code" href="arm__math_8h.html#a5e459c6409dfcd2927bb8a57491d7cf6a7071b92f1f6bc3c5c312a237ea91105b">ARM_MATH_SIZE_MISMATCH</a>; |
| <a name="l00100"></a>00100 } |
| <a name="l00101"></a>00101 <span class="keywordflow">else</span> |
| <a name="l00102"></a>00102 <span class="preprocessor">#endif </span><span class="comment">/* #ifdef ARM_MATH_MATRIX_CHECK */</span> |
| <a name="l00103"></a>00103 |
| <a name="l00104"></a>00104 { |
| <a name="l00105"></a>00105 <span class="comment">/* The following loop performs the dot-product of each row in pSrcA with each column in pSrcB */</span> |
| <a name="l00106"></a>00106 <span class="comment">/* row loop */</span> |
| <a name="l00107"></a>00107 <span class="keywordflow">do</span> |
| <a name="l00108"></a>00108 { |
| <a name="l00109"></a>00109 <span class="comment">/* Output pointer is set to starting address of the row being processed */</span> |
| <a name="l00110"></a>00110 px = pOut + i; |
| <a name="l00111"></a>00111 |
| <a name="l00112"></a>00112 <span class="comment">/* For every row wise process, the column loop counter is to be initiated */</span> |
| <a name="l00113"></a>00113 col = numColsB; |
| <a name="l00114"></a>00114 |
| <a name="l00115"></a>00115 <span class="comment">/* For every row wise process, the pIn2 pointer is set </span> |
| <a name="l00116"></a>00116 <span class="comment"> ** to the starting address of the pSrcB data */</span> |
| <a name="l00117"></a>00117 pIn2 = pSrcB-><a class="code" href="structarm__matrix__instance__q31.html#a09a64267c0579fef086efc9059741e56">pData</a>; |
| <a name="l00118"></a>00118 |
| <a name="l00119"></a>00119 j = 0u; |
| <a name="l00120"></a>00120 |
| <a name="l00121"></a>00121 <span class="comment">/* column loop */</span> |
| <a name="l00122"></a>00122 <span class="keywordflow">do</span> |
| <a name="l00123"></a>00123 { |
| <a name="l00124"></a>00124 <span class="comment">/* Set the variable sum, that acts as accumulator, to zero */</span> |
| <a name="l00125"></a>00125 sum = 0; |
| <a name="l00126"></a>00126 |
| <a name="l00127"></a>00127 <span class="comment">/* Initiate the pointer pIn1 to point to the starting address of pInA */</span> |
| <a name="l00128"></a>00128 pIn1 = pInA; |
| <a name="l00129"></a>00129 |
| <a name="l00130"></a>00130 <span class="comment">/* Apply loop unrolling and compute 4 MACs simultaneously. */</span> |
| <a name="l00131"></a>00131 colCnt = numColsA >> 2; |
| <a name="l00132"></a>00132 |
| <a name="l00133"></a>00133 |
| <a name="l00134"></a>00134 <span class="comment">/* matrix multiplication */</span> |
| <a name="l00135"></a>00135 <span class="keywordflow">while</span>(colCnt > 0u) |
| <a name="l00136"></a>00136 { |
| <a name="l00137"></a>00137 <span class="comment">/* c(m,n) = a(1,1)*b(1,1) + a(1,2) * b(2,1) + .... + a(m,p)*b(p,n) */</span> |
| <a name="l00138"></a>00138 <span class="comment">/* Perform the multiply-accumulates */</span> |
| <a name="l00139"></a>00139 sum = (<a class="code" href="arm__math_8h.html#adc89a3547f5324b7b3b95adec3806bc0" title="32-bit fractional data type in 1.31 format.">q31_t</a>) ((((<a class="code" href="arm__math_8h.html#a5aea1cb12fc02d9d44c8abf217eaa5c6" title="64-bit fractional data type in 1.63 format.">q63_t</a>) sum << 32) + |
| <a name="l00140"></a>00140 ((<a class="code" href="arm__math_8h.html#a5aea1cb12fc02d9d44c8abf217eaa5c6" title="64-bit fractional data type in 1.63 format.">q63_t</a>) * pIn1++ * (*pIn2))) >> 32); |
| <a name="l00141"></a>00141 pIn2 += numColsB; |
| <a name="l00142"></a>00142 sum = (<a class="code" href="arm__math_8h.html#adc89a3547f5324b7b3b95adec3806bc0" title="32-bit fractional data type in 1.31 format.">q31_t</a>) ((((<a class="code" href="arm__math_8h.html#a5aea1cb12fc02d9d44c8abf217eaa5c6" title="64-bit fractional data type in 1.63 format.">q63_t</a>) sum << 32) + |
| <a name="l00143"></a>00143 ((<a class="code" href="arm__math_8h.html#a5aea1cb12fc02d9d44c8abf217eaa5c6" title="64-bit fractional data type in 1.63 format.">q63_t</a>) * pIn1++ * (*pIn2))) >> 32); |
| <a name="l00144"></a>00144 pIn2 += numColsB; |
| <a name="l00145"></a>00145 sum = (<a class="code" href="arm__math_8h.html#adc89a3547f5324b7b3b95adec3806bc0" title="32-bit fractional data type in 1.31 format.">q31_t</a>) ((((<a class="code" href="arm__math_8h.html#a5aea1cb12fc02d9d44c8abf217eaa5c6" title="64-bit fractional data type in 1.63 format.">q63_t</a>) sum << 32) + |
| <a name="l00146"></a>00146 ((<a class="code" href="arm__math_8h.html#a5aea1cb12fc02d9d44c8abf217eaa5c6" title="64-bit fractional data type in 1.63 format.">q63_t</a>) * pIn1++ * (*pIn2))) >> 32); |
| <a name="l00147"></a>00147 pIn2 += numColsB; |
| <a name="l00148"></a>00148 sum = (<a class="code" href="arm__math_8h.html#adc89a3547f5324b7b3b95adec3806bc0" title="32-bit fractional data type in 1.31 format.">q31_t</a>) ((((<a class="code" href="arm__math_8h.html#a5aea1cb12fc02d9d44c8abf217eaa5c6" title="64-bit fractional data type in 1.63 format.">q63_t</a>) sum << 32) + |
| <a name="l00149"></a>00149 ((<a class="code" href="arm__math_8h.html#a5aea1cb12fc02d9d44c8abf217eaa5c6" title="64-bit fractional data type in 1.63 format.">q63_t</a>) * pIn1++ * (*pIn2))) >> 32); |
| <a name="l00150"></a>00150 pIn2 += numColsB; |
| <a name="l00151"></a>00151 |
| <a name="l00152"></a>00152 <span class="comment">/* Decrement the loop counter */</span> |
| <a name="l00153"></a>00153 colCnt--; |
| <a name="l00154"></a>00154 } |
| <a name="l00155"></a>00155 |
| <a name="l00156"></a>00156 <span class="comment">/* If the columns of pSrcA is not a multiple of 4, compute any remaining output samples here. </span> |
| <a name="l00157"></a>00157 <span class="comment"> ** No loop unrolling is used. */</span> |
| <a name="l00158"></a>00158 colCnt = numColsA % 0x4u; |
| <a name="l00159"></a>00159 |
| <a name="l00160"></a>00160 <span class="keywordflow">while</span>(colCnt > 0u) |
| <a name="l00161"></a>00161 { |
| <a name="l00162"></a>00162 <span class="comment">/* c(m,n) = a(1,1)*b(1,1) + a(1,2) * b(2,1) + .... + a(m,p)*b(p,n) */</span> |
| <a name="l00163"></a>00163 <span class="comment">/* Perform the multiply-accumulates */</span> |
| <a name="l00164"></a>00164 sum = (<a class="code" href="arm__math_8h.html#adc89a3547f5324b7b3b95adec3806bc0" title="32-bit fractional data type in 1.31 format.">q31_t</a>) ((((<a class="code" href="arm__math_8h.html#a5aea1cb12fc02d9d44c8abf217eaa5c6" title="64-bit fractional data type in 1.63 format.">q63_t</a>) sum << 32) + |
| <a name="l00165"></a>00165 ((<a class="code" href="arm__math_8h.html#a5aea1cb12fc02d9d44c8abf217eaa5c6" title="64-bit fractional data type in 1.63 format.">q63_t</a>) * pIn1++ * (*pIn2))) >> 32); |
| <a name="l00166"></a>00166 pIn2 += numColsB; |
| <a name="l00167"></a>00167 |
| <a name="l00168"></a>00168 <span class="comment">/* Decrement the loop counter */</span> |
| <a name="l00169"></a>00169 colCnt--; |
| <a name="l00170"></a>00170 } |
| <a name="l00171"></a>00171 |
| <a name="l00172"></a>00172 <span class="comment">/* Convert the result from 2.30 to 1.31 format and store in destination buffer */</span> |
| <a name="l00173"></a>00173 *px++ = sum << 1; |
| <a name="l00174"></a>00174 |
| <a name="l00175"></a>00175 <span class="comment">/* Update the pointer pIn2 to point to the starting address of the next column */</span> |
| <a name="l00176"></a>00176 j++; |
| <a name="l00177"></a>00177 pIn2 = pSrcB-><a class="code" href="structarm__matrix__instance__q31.html#a09a64267c0579fef086efc9059741e56">pData</a> + j; |
| <a name="l00178"></a>00178 |
| <a name="l00179"></a>00179 <span class="comment">/* Decrement the column loop counter */</span> |
| <a name="l00180"></a>00180 col--; |
| <a name="l00181"></a>00181 |
| <a name="l00182"></a>00182 } <span class="keywordflow">while</span>(col > 0u); |
| <a name="l00183"></a>00183 |
| <a name="l00184"></a>00184 <span class="comment">/* Update the pointer pInA to point to the starting address of the next row */</span> |
| <a name="l00185"></a>00185 i = i + numColsB; |
| <a name="l00186"></a>00186 pInA = pInA + numColsA; |
| <a name="l00187"></a>00187 |
| <a name="l00188"></a>00188 <span class="comment">/* Decrement the row loop counter */</span> |
| <a name="l00189"></a>00189 row--; |
| <a name="l00190"></a>00190 |
| <a name="l00191"></a>00191 } <span class="keywordflow">while</span>(row > 0u); |
| <a name="l00192"></a>00192 |
| <a name="l00193"></a>00193 <span class="comment">/* set status as ARM_MATH_SUCCESS */</span> |
| <a name="l00194"></a>00194 status = <a class="code" href="arm__math_8h.html#a5e459c6409dfcd2927bb8a57491d7cf6a9f8b2a10bd827fb4600e77d455902eb0">ARM_MATH_SUCCESS</a>; |
| <a name="l00195"></a>00195 } |
| <a name="l00196"></a>00196 <span class="comment">/* Return to application */</span> |
| <a name="l00197"></a>00197 <span class="keywordflow">return</span> (status); |
| <a name="l00198"></a>00198 } |
| <a name="l00199"></a>00199 |
| </pre></div></div> |
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