THUNDERX: Add optimized version of daxpy
This is better for single core but does not change anything for multiple cores
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@ -2,3 +2,5 @@ include $(KERNELDIR)/KERNEL.ARMV8
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SDOTKERNEL=dot-thunderx.c
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DDOTKERNEL=ddot-thunderx.c
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DAXPYKERNEL=daxpy-thunderx.c
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@ -0,0 +1,151 @@
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/***************************************************************************
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Copyright (c) 2014, The OpenBLAS Project
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All rights reserved.
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Redistribution and use in source and binary forms, with or without
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modification, are permitted provided that the following conditions are
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met:
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1. Redistributions of source code must retain the above copyright
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notice, this list of conditions and the following disclaimer.
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2. Redistributions in binary form must reproduce the above copyright
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notice, this list of conditions and the following disclaimer in
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the documentation and/or other materials provided with the
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distribution.
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3. Neither the name of the OpenBLAS project nor the names of
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its contributors may be used to endorse or promote products
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derived from this software without specific prior written permission.
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THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
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ARE DISCLAIMED. IN NO EVENT SHALL THE OPENBLAS PROJECT OR CONTRIBUTORS BE
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LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
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DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
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SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
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CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
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OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE
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USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*****************************************************************************/
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#include "common.h"
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#include <arm_neon.h>
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#define prefetch(a) __asm__("prfm PLDL1STRM, [%0]"::"r"(a):"memory");
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//#define prefetch(a)
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static void daxpy_kernel_8(BLASLONG n, FLOAT *x, FLOAT *y, FLOAT *alpha)
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{
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BLASLONG register i = 0;
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double a = *alpha;
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#if 0
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prefetch(x + 128/sizeof(*x));
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prefetch(y + 128/sizeof(*y));
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#endif
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prefetch(x + 2*128/sizeof(*x));
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prefetch(y + 2*128/sizeof(*y));
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prefetch(x + 3*128/sizeof(*x));
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prefetch(y + 3*128/sizeof(*y));
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prefetch(x + 4*128/sizeof(*x));
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prefetch(y + 4*128/sizeof(*y));
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while(i < n)
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{
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double y0, y1, y2, y3;
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double y4, y5, y6, y7;
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double *xx;
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double *yy;
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y0 = a * x[0] + y[0];
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y1 = a * x[1] + y[1];
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y2 = a * x[2] + y[2];
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y3 = a * x[3] + y[3];
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y4 = a * x[4] + y[4];
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y5 = a * x[5] + y[5];
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y6 = a * x[6] + y[6];
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y7 = a * x[7] + y[7];
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asm("":"+w"(y0),"+w"(y1),"+w"(y2),"+w"(y3),"+w"(y4),"+w"(y5),"+w"(y6),"+w"(y7));
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y[0] = y0;
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y[1] = y1;
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y[2] = y2;
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y[3] = y3;
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y[4] = y4;
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y[5] = y5;
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y[6] = y6;
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y[7] = y7;
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xx = (x + 4*128/sizeof(*x));
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yy = (y + 4*128/sizeof(*y));
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asm("":"+r"(yy)::"memory");
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prefetch(xx);
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prefetch(yy);
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y += 8;
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x += 8;
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i += 8 ;
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}
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}
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int CNAME(BLASLONG n, BLASLONG dummy0, BLASLONG dummy1, FLOAT da, FLOAT *x, BLASLONG inc_x, FLOAT *y, BLASLONG inc_y, FLOAT *dummy, BLASLONG dummy2)
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{
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BLASLONG i=0;
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BLASLONG ix=0,iy=0;
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if ( n <= 0 ) return(0);
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if ( (inc_x == 1) && (inc_y == 1) )
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{
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BLASLONG n1 = n & -32;
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if ( n1 )
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daxpy_kernel_8(n1, x, y , &da );
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i = n1;
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while(i < n)
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{
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y[i] += da * x[i] ;
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i++ ;
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}
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return(0);
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}
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BLASLONG n1 = n & -4;
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while(i < n1)
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{
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FLOAT m1 = da * x[ix] ;
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FLOAT m2 = da * x[ix+inc_x] ;
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FLOAT m3 = da * x[ix+2*inc_x] ;
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FLOAT m4 = da * x[ix+3*inc_x] ;
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y[iy] += m1 ;
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y[iy+inc_y] += m2 ;
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y[iy+2*inc_y] += m3 ;
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y[iy+3*inc_y] += m4 ;
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ix += inc_x*4 ;
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iy += inc_y*4 ;
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i+=4 ;
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}
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while(i < n)
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{
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y[iy] += da * x[ix] ;
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ix += inc_x ;
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iy += inc_y ;
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i++ ;
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}
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return(0);
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}
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