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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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。


Revision:
5:a912b042151f
Parent:
4:9cee975aadce
--- a/cmsis_dsp/StatisticsFunctions/arm_std_q15.c	Mon Jun 23 09:30:09 2014 +0100
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,205 +0,0 @@
-/* ----------------------------------------------------------------------    
-* Copyright (C) 2010-2013 ARM Limited. All rights reserved.    
-*    
-* $Date:        17. January 2013
-* $Revision: 	V1.4.1  
-*    
-* Project: 	    CMSIS DSP Library    
-* Title:		arm_std_q15.c    
-*    
-* Description:	Standard deviation of an array of Q15 type.    
-*    
-* Target Processor: Cortex-M4/Cortex-M3/Cortex-M0
-*  
-* Redistribution and use in source and binary forms, with or without 
-* modification, are permitted provided that the following conditions
-* are met:
-*   - Redistributions of source code must retain the above copyright
-*     notice, this list of conditions and the following disclaimer.
-*   - Redistributions in binary form must reproduce the above copyright
-*     notice, this list of conditions and the following disclaimer in
-*     the documentation and/or other materials provided with the 
-*     distribution.
-*   - Neither the name of ARM LIMITED nor the names of its contributors
-*     may be used to endorse or promote products derived from this
-*     software without specific prior written permission.
-*
-* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
-* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
-* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
-* FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE 
-* COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
-* INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
-* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
-* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
-* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
-* LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
-* ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
-* POSSIBILITY OF SUCH DAMAGE.  
-* -------------------------------------------------------------------- */
-
-#include "arm_math.h"
-
-/**    
- * @ingroup groupStats    
- */
-
-/**    
- * @addtogroup STD    
- * @{    
- */
-
-/**    
- * @brief Standard deviation of the elements of a Q15 vector.    
- * @param[in]       *pSrc points to the input vector    
- * @param[in]       blockSize length of the input vector    
- * @param[out]      *pResult standard deviation value returned here    
- * @return none.    
- *    
- * @details    
- * <b>Scaling and Overflow Behavior:</b>    
- *    
- * \par    
- * The function is implemented using a 64-bit internal accumulator.    
- * The input is represented in 1.15 format.   
- * Intermediate multiplication yields a 2.30 format, and this    
- * result is added without saturation to a 64-bit accumulator in 34.30 format.    
- * With 33 guard bits in the accumulator, there is no risk of overflow, and the    
- * full precision of the intermediate multiplication is preserved.    
- * Finally, the 34.30 result is truncated to 34.15 format by discarding the lower     
- * 15 bits, and then saturated to yield a result in 1.15 format.    
- */
-
-void arm_std_q15(
-  q15_t * pSrc,
-  uint32_t blockSize,
-  q15_t * pResult)
-{
-  q31_t sum = 0;                                 /* Accumulator */
-  q31_t meanOfSquares, squareOfMean;             /* square of mean and mean of square */
-  q15_t mean;                                    /* mean */
-  uint32_t blkCnt;                               /* loop counter */
-  q15_t t;                                       /* Temporary variable */
-  q63_t sumOfSquares = 0;                        /* Accumulator */
-
-#ifndef ARM_MATH_CM0_FAMILY
-
-  /* Run the below code for Cortex-M4 and Cortex-M3 */
-
-  q31_t in;                                      /* input value */
-  q15_t in1;                                     /* input value */
-
-  /*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[0] * A[0] + A[1] * A[1] + ... + A[blockSize-1] * A[blockSize-1])  */
-    /* Compute Sum of squares of the input samples    
-     * and then store the result in a temporary variable, sum. */
-    in = *__SIMD32(pSrc)++;
-    sum += ((in << 16) >> 16);
-    sum += (in >> 16);
-    sumOfSquares = __SMLALD(in, in, sumOfSquares);
-    in = *__SIMD32(pSrc)++;
-    sum += ((in << 16) >> 16);
-    sum += (in >> 16);
-    sumOfSquares = __SMLALD(in, in, sumOfSquares);
-
-    /* Decrement the 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;
-
-  while(blkCnt > 0u)
-  {
-    /* C = (A[0] * A[0] + A[1] * A[1] + ... + A[blockSize-1] * A[blockSize-1]) */
-    /* Compute Sum of squares of the input samples    
-     * and then store the result in a temporary variable, sum. */
-    in1 = *pSrc++;
-    sumOfSquares = __SMLALD(in1, in1, sumOfSquares);
-    sum += in1;
-
-    /* Decrement the loop counter */
-    blkCnt--;
-  }
-
-  /* Compute Mean of squares of the input samples    
-   * and then store the result in a temporary variable, meanOfSquares. */
-  t = (q15_t) ((1.0 / (blockSize - 1)) * 16384LL);
-  sumOfSquares = __SSAT((sumOfSquares >> 15u), 16u);
-
-  meanOfSquares = (q31_t) ((sumOfSquares * t) >> 14u);
-
-  /* Compute mean of all input values */
-  t = (q15_t) ((1.0 / (blockSize * (blockSize - 1))) * 32768LL);
-  mean = (q15_t) __SSAT(sum, 16u);
-
-  /* Compute square of mean */
-  squareOfMean = ((q31_t) mean * mean) >> 15;
-  squareOfMean = (q31_t) (((q63_t) squareOfMean * t) >> 15);
-
-  /* mean of the squares minus the square of the mean. */
-  in1 = (q15_t) (meanOfSquares - squareOfMean);
-
-  /* Compute standard deviation and store the result to the destination */
-  arm_sqrt_q15(in1, pResult);
-
-#else
-
-  /* Run the below code for Cortex-M0 */
-  q15_t in;                                      /* input value */
-
-  /* Loop over blockSize number of values */
-  blkCnt = blockSize;
-
-  while(blkCnt > 0u)
-  {
-    /* C = (A[0] * A[0] + A[1] * A[1] + ... + A[blockSize-1] * A[blockSize-1]) */
-    /* Compute Sum of squares of the input samples     
-     * and then store the result in a temporary variable, sumOfSquares. */
-    in = *pSrc++;
-    sumOfSquares += (in * in);
-
-    /* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */
-    /* Compute sum of all input values and then store the result in a temporary variable, sum. */
-    sum += in;
-
-    /* Decrement the loop counter */
-    blkCnt--;
-  }
-
-  /* Compute Mean of squares of the input samples     
-   * and then store the result in a temporary variable, meanOfSquares. */
-  t = (q15_t) ((1.0 / (blockSize - 1)) * 16384LL);
-  sumOfSquares = __SSAT((sumOfSquares >> 15u), 16u);
-  meanOfSquares = (q31_t) ((sumOfSquares * t) >> 14u);
-
-  /* Compute mean of all input values */
-  mean = (q15_t) __SSAT(sum, 16u);
-
-  /* Compute square of mean of the input samples   
-   * and then store the result in a temporary variable, squareOfMean.*/
-  t = (q15_t) ((1.0 / (blockSize * (blockSize - 1))) * 32768LL);
-  squareOfMean = ((q31_t) mean * mean) >> 15;
-  squareOfMean = (q31_t) (((q63_t) squareOfMean * t) >> 15);
-
-  /* mean of the squares minus the square of the mean. */
-  in = (q15_t) (meanOfSquares - squareOfMean);
-
-  /* Compute standard deviation and store the result to the destination */
-  arm_sqrt_q15(in, pResult);
-
-#endif /* #ifndef ARM_MATH_CM0_FAMILY */
-
-
-}
-
-/**    
- * @} end of STD group    
- */