Fork of mbed-dsp. CMSIS-DSP library of supporting NEON
Dependents: mbed-os-example-cmsis_dsp_neon
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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。
Diff: cmsis_dsp/MatrixFunctions/arm_mat_mult_q31.c
- Revision:
- 5:a912b042151f
- Parent:
- 4:9cee975aadce
--- a/cmsis_dsp/MatrixFunctions/arm_mat_mult_q31.c Mon Jun 23 09:30:09 2014 +0100 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 @@ -1,294 +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_mat_mult_q31.c -* -* Description: Q31 matrix multiplication. -* -* 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 groupMatrix - */ - -/** - * @addtogroup MatrixMult - * @{ - */ - -/** - * @brief Q31 matrix multiplication - * @param[in] *pSrcA points to the first input matrix structure - * @param[in] *pSrcB points to the second input matrix structure - * @param[out] *pDst points to output matrix structure - * @return The function returns either - * <code>ARM_MATH_SIZE_MISMATCH</code> or <code>ARM_MATH_SUCCESS</code> based on the outcome of size checking. - * - * @details - * <b>Scaling and Overflow Behavior:</b> - * - * \par - * The function is implemented using an internal 64-bit accumulator. - * The accumulator has a 2.62 format and maintains full precision of the intermediate - * multiplication results but provides only a single guard bit. There is no saturation - * on intermediate additions. Thus, if the accumulator overflows it wraps around and - * distorts the result. The input signals should be scaled down to avoid intermediate - * overflows. The input is thus scaled down by log2(numColsA) bits - * to avoid overflows, as a total of numColsA additions are performed internally. - * The 2.62 accumulator is right shifted by 31 bits and saturated to 1.31 format to yield the final result. - * - * \par - * See <code>arm_mat_mult_fast_q31()</code> for a faster but less precise implementation of this function for Cortex-M3 and Cortex-M4. - * - */ - -arm_status arm_mat_mult_q31( - const arm_matrix_instance_q31 * pSrcA, - const arm_matrix_instance_q31 * pSrcB, - arm_matrix_instance_q31 * pDst) -{ - q31_t *pIn1 = pSrcA->pData; /* input data matrix pointer A */ - q31_t *pIn2 = pSrcB->pData; /* input data matrix pointer B */ - q31_t *pInA = pSrcA->pData; /* input data matrix pointer A */ - q31_t *pOut = pDst->pData; /* output data matrix pointer */ - q31_t *px; /* Temporary output data matrix pointer */ - q63_t sum; /* Accumulator */ - uint16_t numRowsA = pSrcA->numRows; /* number of rows of input matrix A */ - uint16_t numColsB = pSrcB->numCols; /* number of columns of input matrix B */ - uint16_t numColsA = pSrcA->numCols; /* number of columns of input matrix A */ - -#ifndef ARM_MATH_CM0_FAMILY - - /* Run the below code for Cortex-M4 and Cortex-M3 */ - - uint16_t col, i = 0u, j, row = numRowsA, colCnt; /* loop counters */ - arm_status status; /* status of matrix multiplication */ - q31_t a0, a1, a2, a3, b0, b1, b2, b3; - -#ifdef ARM_MATH_MATRIX_CHECK - - - /* Check for matrix mismatch condition */ - if((pSrcA->numCols != pSrcB->numRows) || - (pSrcA->numRows != pDst->numRows) || (pSrcB->numCols != pDst->numCols)) - { - /* Set status as ARM_MATH_SIZE_MISMATCH */ - status = ARM_MATH_SIZE_MISMATCH; - } - else -#endif /* #ifdef ARM_MATH_MATRIX_CHECK */ - - { - /* The following loop performs the dot-product of each row in pSrcA with each column in pSrcB */ - /* row loop */ - do - { - /* Output pointer is set to starting address of the row being processed */ - px = pOut + i; - - /* For every row wise process, the column loop counter is to be initiated */ - col = numColsB; - - /* For every row wise process, the pIn2 pointer is set - ** to the starting address of the pSrcB data */ - pIn2 = pSrcB->pData; - - j = 0u; - - /* column loop */ - do - { - /* Set the variable sum, that acts as accumulator, to zero */ - sum = 0; - - /* Initiate the pointer pIn1 to point to the starting address of pInA */ - pIn1 = pInA; - - /* Apply loop unrolling and compute 4 MACs simultaneously. */ - colCnt = numColsA >> 2; - - - /* matrix multiplication */ - while(colCnt > 0u) - { - /* c(m,n) = a(1,1)*b(1,1) + a(1,2) * b(2,1) + .... + a(m,p)*b(p,n) */ - /* Perform the multiply-accumulates */ - b0 = *pIn2; - pIn2 += numColsB; - - a0 = *pIn1++; - a1 = *pIn1++; - - b1 = *pIn2; - pIn2 += numColsB; - b2 = *pIn2; - pIn2 += numColsB; - - sum += (q63_t) a0 *b0; - sum += (q63_t) a1 *b1; - - a2 = *pIn1++; - a3 = *pIn1++; - - b3 = *pIn2; - pIn2 += numColsB; - - sum += (q63_t) a2 *b2; - sum += (q63_t) a3 *b3; - - /* Decrement the loop counter */ - colCnt--; - } - - /* If the columns of pSrcA is not a multiple of 4, compute any remaining output samples here. - ** No loop unrolling is used. */ - colCnt = numColsA % 0x4u; - - while(colCnt > 0u) - { - /* c(m,n) = a(1,1)*b(1,1) + a(1,2) * b(2,1) + .... + a(m,p)*b(p,n) */ - /* Perform the multiply-accumulates */ - sum += (q63_t) * pIn1++ * *pIn2; - pIn2 += numColsB; - - /* Decrement the loop counter */ - colCnt--; - } - - /* Convert the result from 2.62 to 1.31 format and store in destination buffer */ - *px++ = (q31_t) (sum >> 31); - - /* Update the pointer pIn2 to point to the starting address of the next column */ - j++; - pIn2 = (pSrcB->pData) + j; - - /* Decrement the column loop counter */ - col--; - - } while(col > 0u); - -#else - - /* Run the below code for Cortex-M0 */ - - q31_t *pInB = pSrcB->pData; /* input data matrix pointer B */ - uint16_t col, i = 0u, row = numRowsA, colCnt; /* loop counters */ - arm_status status; /* status of matrix multiplication */ - - -#ifdef ARM_MATH_MATRIX_CHECK - - /* Check for matrix mismatch condition */ - if((pSrcA->numCols != pSrcB->numRows) || - (pSrcA->numRows != pDst->numRows) || (pSrcB->numCols != pDst->numCols)) - { - /* Set status as ARM_MATH_SIZE_MISMATCH */ - status = ARM_MATH_SIZE_MISMATCH; - } - else -#endif /* #ifdef ARM_MATH_MATRIX_CHECK */ - - { - /* The following loop performs the dot-product of each row in pSrcA with each column in pSrcB */ - /* row loop */ - do - { - /* Output pointer is set to starting address of the row being processed */ - px = pOut + i; - - /* For every row wise process, the column loop counter is to be initiated */ - col = numColsB; - - /* For every row wise process, the pIn2 pointer is set - ** to the starting address of the pSrcB data */ - pIn2 = pSrcB->pData; - - /* column loop */ - do - { - /* Set the variable sum, that acts as accumulator, to zero */ - sum = 0; - - /* Initiate the pointer pIn1 to point to the starting address of pInA */ - pIn1 = pInA; - - /* Matrix A columns number of MAC operations are to be performed */ - colCnt = numColsA; - - /* matrix multiplication */ - while(colCnt > 0u) - { - /* c(m,n) = a(1,1)*b(1,1) + a(1,2) * b(2,1) + .... + a(m,p)*b(p,n) */ - /* Perform the multiply-accumulates */ - sum += (q63_t) * pIn1++ * *pIn2; - pIn2 += numColsB; - - /* Decrement the loop counter */ - colCnt--; - } - - /* Convert the result from 2.62 to 1.31 format and store in destination buffer */ - *px++ = (q31_t) (sum >> 31); - - /* Decrement the column loop counter */ - col--; - - /* Update the pointer pIn2 to point to the starting address of the next column */ - pIn2 = pInB + (numColsB - col); - - } while(col > 0u); - -#endif - - /* Update the pointer pInA to point to the starting address of the next row */ - i = i + numColsB; - pInA = pInA + numColsA; - - /* Decrement the row loop counter */ - row--; - - } while(row > 0u); - - /* set status as ARM_MATH_SUCCESS */ - status = ARM_MATH_SUCCESS; - } - /* Return to application */ - return (status); -} - -/** - * @} end of MatrixMult group - */