Fork of mbed-dsp. CMSIS-DSP library of supporting NEON

Dependents:   mbed-os-example-cmsis_dsp_neon

Fork of mbed-dsp by mbed official

Information

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このページの後半に日本語版が用意されています.

CMSIS-DSP of supporting NEON

What is this ?

A library for CMSIS-DSP of supporting NEON.
We supported the NEON to CMSIS-DSP Ver1.4.3(CMSIS V4.1) that ARM supplied, has achieved the processing speed improvement.
If you use the mbed-dsp library, you can use to replace this library.
CMSIS-DSP of supporting NEON is provied as a library.

Library Creation environment

CMSIS-DSP library of supporting NEON was created by the following environment.

  • Compiler
    ARMCC Version 5.03
  • Compile option switch[C Compiler]
   -DARM_MATH_MATRIX_CHECK -DARM_MATH_ROUNDING -O3 -Otime --cpu=Cortex-A9 --littleend --arm 
   --apcs=/interwork --no_unaligned_access --fpu=vfpv3_fp16 --fpmode=fast --apcs=/hardfp 
   --vectorize --asm
  • Compile option switch[Assembler]
   --cpreproc --cpu=Cortex-A9 --littleend --arm --apcs=/interwork --no_unaligned_access 
   --fpu=vfpv3_fp16 --fpmode=fast --apcs=/hardfp


Effects of NEON support

In the data which passes to each function, large size will be expected more effective than small size.
Also if the data is a multiple of 16, effect will be expected in every function in the CMSIS-DSP.


NEON対応CMSIS-DSP

概要

NEON対応したCMSIS-DSPのライブラリです。
ARM社提供のCMSIS-DSP Ver1.4.3(CMSIS V4.1)をターゲットにNEON対応を行ない、処理速度向上を実現しております。
mbed-dspライブラリを使用している場合は、本ライブラリに置き換えて使用することができます。
NEON対応したCMSIS-DSPはライブラリで提供します。

ライブラリ作成環境

NEON対応CMSIS-DSPライブラリは、以下の環境で作成しています。

  • コンパイラ
    ARMCC Version 5.03
  • コンパイルオプションスイッチ[C Compiler]
   -DARM_MATH_MATRIX_CHECK -DARM_MATH_ROUNDING -O3 -Otime --cpu=Cortex-A9 --littleend --arm 
   --apcs=/interwork --no_unaligned_access --fpu=vfpv3_fp16 --fpmode=fast --apcs=/hardfp 
   --vectorize --asm
  • コンパイルオプションスイッチ[Assembler]
   --cpreproc --cpu=Cortex-A9 --littleend --arm --apcs=/interwork --no_unaligned_access 
   --fpu=vfpv3_fp16 --fpmode=fast --apcs=/hardfp


NEON対応による効果について

CMSIS-DSP内の各関数へ渡すデータは、小さいサイズよりも大きいサイズの方が効果が見込めます。
また、16の倍数のデータであれば、CMSIS-DSP内のどの関数でも効果が見込めます。


cmsis_dsp/MatrixFunctions/arm_mat_trans_q31.c

Committer:
emilmont
Date:
2012-11-28
Revision:
1:fdd22bb7aa52
Child:
2:da51fb522205

File content as of revision 1:fdd22bb7aa52:

/* ----------------------------------------------------------------------    
* Copyright (C) 2010 ARM Limited. All rights reserved.    
*    
* $Date:        15. February 2012  
* $Revision:     V1.1.0  
*    
* Project:         CMSIS DSP Library    
* Title:        arm_mat_trans_q31.c    
*    
* Description:    Q31 matrix transpose.    
*    
* Target Processor: Cortex-M4/Cortex-M3/Cortex-M0
*  
* Version 1.1.0 2012/02/15 
*    Updated with more optimizations, bug fixes and minor API changes.  
*   
* Version 1.0.10 2011/7/15  
*    Big Endian support added and Merged M0 and M3/M4 Source code.   
*    
* Version 1.0.3 2010/11/29   
*    Re-organized the CMSIS folders and updated documentation.    
*     
* Version 1.0.2 2010/11/11    
*    Documentation updated.     
*    
* Version 1.0.1 2010/10/05     
*    Production release and review comments incorporated.    
*    
* Version 1.0.0 2010/09/20     
*    Production release and review comments incorporated.    
*    
* Version 0.0.5  2010/04/26     
*    incorporated review comments and updated with latest CMSIS layer    
*    
* Version 0.0.3  2010/03/10     
*    Initial version    
* -------------------------------------------------------------------- */

#include "arm_math.h"

/**    
 * @ingroup groupMatrix    
 */

/**    
 * @addtogroup MatrixTrans    
 * @{    
 */

/*    
  * @brief Q31 matrix transpose.    
  * @param[in]  *pSrc points to the input matrix    
  * @param[out] *pDst points to the output matrix    
  * @return     The function returns either  <code>ARM_MATH_SIZE_MISMATCH</code>    
  * or <code>ARM_MATH_SUCCESS</code> based on the outcome of size checking.    
 */

arm_status arm_mat_trans_q31(
  const arm_matrix_instance_q31 * pSrc,
  arm_matrix_instance_q31 * pDst)
{
  q31_t *pIn = pSrc->pData;                      /* input data matrix pointer  */
  q31_t *pOut = pDst->pData;                     /* output data matrix pointer  */
  q31_t *px;                                     /* Temporary output data matrix pointer */
  uint16_t nRows = pSrc->numRows;                /* number of nRows */
  uint16_t nColumns = pSrc->numCols;             /* number of nColumns  */

#ifndef ARM_MATH_CM0

  /* Run the below code for Cortex-M4 and Cortex-M3 */

  uint16_t blkCnt, i = 0u, row = nRows;          /* loop counters */
  arm_status status;                             /* status of matrix transpose */


#ifdef ARM_MATH_MATRIX_CHECK


  /* Check for matrix mismatch condition */
  if((pSrc->numRows != pDst->numCols) || (pSrc->numCols != pDst->numRows))
  {
    /* Set status as ARM_MATH_SIZE_MISMATCH */
    status = ARM_MATH_SIZE_MISMATCH;
  }
  else
#endif /*    #ifdef ARM_MATH_MATRIX_CHECK    */

  {
    /* Matrix transpose by exchanging the rows with columns */
    /* row loop     */
    do
    {
      /* Apply loop unrolling and exchange the columns with row elements */
      blkCnt = nColumns >> 2u;

      /* The pointer px is set to starting address of the column being processed */
      px = pOut + i;

      /* First part of the processing with loop unrolling.  Compute 4 outputs at a time.    
       ** a second loop below computes the remaining 1 to 3 samples. */
      while(blkCnt > 0u)
      {
        /* Read and store the input element in the destination */
        *px = *pIn++;

        /* Update the pointer px to point to the next row of the transposed matrix */
        px += nRows;

        /* Read and store the input element in the destination */
        *px = *pIn++;

        /* Update the pointer px to point to the next row of the transposed matrix */
        px += nRows;

        /* Read and store the input element in the destination */
        *px = *pIn++;

        /* Update the pointer px to point to the next row of the transposed matrix */
        px += nRows;

        /* Read and store the input element in the destination */
        *px = *pIn++;

        /* Update the pointer px to point to the next row of the transposed matrix */
        px += nRows;

        /* Decrement the column loop counter */
        blkCnt--;
      }

      /* Perform matrix transpose for last 3 samples here. */
      blkCnt = nColumns % 0x4u;

      while(blkCnt > 0u)
      {
        /* Read and store the input element in the destination */
        *px = *pIn++;

        /* Update the pointer px to point to the next row of the transposed matrix */
        px += nRows;

        /* Decrement the column loop counter */
        blkCnt--;
      }

#else

  /* Run the below code for Cortex-M0 */

  uint16_t col, i = 0u, row = nRows;             /* loop counters */
  arm_status status;                             /* status of matrix transpose */


#ifdef ARM_MATH_MATRIX_CHECK

  /* Check for matrix mismatch condition */
  if((pSrc->numRows != pDst->numCols) || (pSrc->numCols != pDst->numRows))
  {
    /* Set status as ARM_MATH_SIZE_MISMATCH */
    status = ARM_MATH_SIZE_MISMATCH;
  }
  else
#endif /*    #ifdef ARM_MATH_MATRIX_CHECK    */

  {
    /* Matrix transpose by exchanging the rows with columns */
    /* row loop     */
    do
    {
      /* The pointer px is set to starting address of the column being processed */
      px = pOut + i;

      /* Initialize column loop counter */
      col = nColumns;

      while(col > 0u)
      {
        /* Read and store the input element in the destination */
        *px = *pIn++;

        /* Update the pointer px to point to the next row of the transposed matrix */
        px += nRows;

        /* Decrement the column loop counter */
        col--;
      }

#endif /* #ifndef ARM_MATH_CM0 */

      i++;

      /* Decrement the row loop counter */
      row--;

    }
    while(row > 0u);            /* row loop end */

    /* set status as ARM_MATH_SUCCESS */
    status = ARM_MATH_SUCCESS;
  }

  /* Return to application */
  return (status);
}

/**    
 * @} end of MatrixTrans group    
 */