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/BasicMathFunctions/arm_mult_f32.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_mult_f32.c    
*    
* Description:    Floating-point vector multiplication.    
*    
* 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 groupMath        
 */

/**        
 * @defgroup BasicMult Vector Multiplication        
 *        
 * Element-by-element multiplication of two vectors.        
 *        
 * <pre>        
 *     pDst[n] = pSrcA[n] * pSrcB[n],   0 <= n < blockSize.        
 * </pre>        
 *        
 * There are separate functions for floating-point, Q7, Q15, and Q31 data types.        
 */

/**        
 * @addtogroup BasicMult        
 * @{        
 */

/**        
 * @brief Floating-point vector multiplication.        
 * @param[in]       *pSrcA points to the first input vector        
 * @param[in]       *pSrcB points to the second input vector        
 * @param[out]      *pDst points to the output vector        
 * @param[in]       blockSize number of samples in each vector        
 * @return none.        
 */

void arm_mult_f32(
  float32_t * pSrcA,
  float32_t * pSrcB,
  float32_t * pDst,
  uint32_t blockSize)
{
  uint32_t blkCnt;                               /* loop counters */
#ifndef ARM_MATH_CM0

  /* Run the below code for Cortex-M4 and Cortex-M3 */
  float32_t inA1, inA2, inA3, inA4;              /* temporary input variables */
  float32_t inB1, inB2, inB3, inB4;              /* temporary input variables */
  float32_t out1, out2, out3, out4;              /* temporary output variables */

  /* loop Unrolling */
  blkCnt = blockSize >> 2u;

  /* 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)
  {
    /* C = A * B */
    /* Multiply the inputs and store the results in output buffer */
    /* read sample from sourceA */
    inA1 = *pSrcA;
    /* read sample from sourceB */
    inB1 = *pSrcB;
    /* read sample from sourceA */
    inA2 = *(pSrcA + 1);
    /* read sample from sourceB */
    inB2 = *(pSrcB + 1);

    /* out = sourceA * sourceB */
    out1 = inA1 * inB1;

    /* read sample from sourceA */
    inA3 = *(pSrcA + 2);
    /* read sample from sourceB */
    inB3 = *(pSrcB + 2);

    /* out = sourceA * sourceB */
    out2 = inA2 * inB2;

    /* read sample from sourceA */
    inA4 = *(pSrcA + 3);

    /* store result to destination buffer */
    *pDst = out1;

    /* read sample from sourceB */
    inB4 = *(pSrcB + 3);

    /* out = sourceA * sourceB */
    out3 = inA3 * inB3;

    /* store result to destination buffer */
    *(pDst + 1) = out2;

    /* out = sourceA * sourceB */
    out4 = inA4 * inB4;
    /* store result to destination buffer */
    *(pDst + 2) = out3;
    /* store result to destination buffer */
    *(pDst + 3) = out4;


    /* update pointers to process next samples */
    pSrcA += 4u;
    pSrcB += 4u;
    pDst += 4u;

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

  /* If the blockSize is not a multiple of 4, compute any remaining output samples here.        
   ** No loop unrolling is used. */
  blkCnt = blockSize % 0x4u;

#else

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

  /* Initialize blkCnt with number of samples */
  blkCnt = blockSize;

#endif /* #ifndef ARM_MATH_CM0 */

  while(blkCnt > 0u)
  {
    /* C = A * B */
    /* Multiply the inputs and store the results in output buffer */
    *pDst++ = (*pSrcA++) * (*pSrcB++);

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

/**        
 * @} end of BasicMult group        
 */