288 lines
8.5 KiB
C
288 lines
8.5 KiB
C
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/*
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* SSE2 implementation of vector oprations (64bit double).
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*
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* Copyright (c) 2007,2008,2009 Naoaki Okazaki
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* All rights reserved.
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to deal
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* in the Software without restriction, including without limitation the rights
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* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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* copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in
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* all copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
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* THE SOFTWARE.
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*/
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/* $Id: arithmetic_sse_double.h 50 2009-02-16 15:14:23Z naoaki $ */
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#include <stdlib.h>
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#include <malloc.h>
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#include <memory.h>
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#if 1400 <= _MSC_VER
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#include <intrin.h>
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#endif/*1400 <= _MSC_VER*/
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#if HAVE_EMMINTRIN_H
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#include <emmintrin.h>
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#endif/*HAVE_EMMINTRIN_H*/
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inline static void* vecalloc(size_t size)
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{
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#ifdef _MSC_VER
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void *memblock = _aligned_malloc(size, 16);
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#else
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void *memblock = memalign(16, size);
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#endif
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if (memblock != NULL) {
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memset(memblock, 0, size);
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}
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return memblock;
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}
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inline static void vecfree(void *memblock)
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{
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#ifdef _MSC_VER
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_aligned_free(memblock);
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#else
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free(memblock);
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#endif
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}
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#define fsigndiff(x, y) \
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((_mm_movemask_pd(_mm_set_pd(*(x), *(y))) + 1) & 0x002)
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#define vecset(x, c, n) \
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{ \
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int i; \
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__m128d XMM0 = _mm_set1_pd(c); \
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for (i = 0;i < (n);i += 8) { \
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_mm_store_pd((x)+i , XMM0); \
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_mm_store_pd((x)+i+2, XMM0); \
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_mm_store_pd((x)+i+4, XMM0); \
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_mm_store_pd((x)+i+6, XMM0); \
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} \
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}
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#define veccpy(y, x, n) \
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{ \
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int i; \
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for (i = 0;i < (n);i += 8) { \
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__m128d XMM0 = _mm_load_pd((x)+i ); \
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__m128d XMM1 = _mm_load_pd((x)+i+2); \
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__m128d XMM2 = _mm_load_pd((x)+i+4); \
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__m128d XMM3 = _mm_load_pd((x)+i+6); \
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_mm_store_pd((y)+i , XMM0); \
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_mm_store_pd((y)+i+2, XMM1); \
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_mm_store_pd((y)+i+4, XMM2); \
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_mm_store_pd((y)+i+6, XMM3); \
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} \
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}
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#define vecncpy(y, x, n) \
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{ \
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int i; \
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for (i = 0;i < (n);i += 8) { \
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__m128d XMM0 = _mm_setzero_pd(); \
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__m128d XMM1 = _mm_setzero_pd(); \
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__m128d XMM2 = _mm_setzero_pd(); \
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__m128d XMM3 = _mm_setzero_pd(); \
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__m128d XMM4 = _mm_load_pd((x)+i ); \
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__m128d XMM5 = _mm_load_pd((x)+i+2); \
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__m128d XMM6 = _mm_load_pd((x)+i+4); \
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__m128d XMM7 = _mm_load_pd((x)+i+6); \
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XMM0 = _mm_sub_pd(XMM0, XMM4); \
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XMM1 = _mm_sub_pd(XMM1, XMM5); \
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XMM2 = _mm_sub_pd(XMM2, XMM6); \
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XMM3 = _mm_sub_pd(XMM3, XMM7); \
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_mm_store_pd((y)+i , XMM0); \
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_mm_store_pd((y)+i+2, XMM1); \
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_mm_store_pd((y)+i+4, XMM2); \
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_mm_store_pd((y)+i+6, XMM3); \
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} \
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}
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#define vecadd(y, x, c, n) \
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{ \
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int i; \
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__m128d XMM7 = _mm_set1_pd(c); \
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for (i = 0;i < (n);i += 4) { \
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__m128d XMM0 = _mm_load_pd((x)+i ); \
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__m128d XMM1 = _mm_load_pd((x)+i+2); \
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__m128d XMM2 = _mm_load_pd((y)+i ); \
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__m128d XMM3 = _mm_load_pd((y)+i+2); \
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XMM0 = _mm_mul_pd(XMM0, XMM7); \
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XMM1 = _mm_mul_pd(XMM1, XMM7); \
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XMM2 = _mm_add_pd(XMM2, XMM0); \
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XMM3 = _mm_add_pd(XMM3, XMM1); \
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_mm_store_pd((y)+i , XMM2); \
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_mm_store_pd((y)+i+2, XMM3); \
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} \
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}
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#define vecdiff(z, x, y, n) \
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{ \
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int i; \
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for (i = 0;i < (n);i += 8) { \
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__m128d XMM0 = _mm_load_pd((x)+i ); \
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__m128d XMM1 = _mm_load_pd((x)+i+2); \
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__m128d XMM2 = _mm_load_pd((x)+i+4); \
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__m128d XMM3 = _mm_load_pd((x)+i+6); \
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__m128d XMM4 = _mm_load_pd((y)+i ); \
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__m128d XMM5 = _mm_load_pd((y)+i+2); \
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__m128d XMM6 = _mm_load_pd((y)+i+4); \
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__m128d XMM7 = _mm_load_pd((y)+i+6); \
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XMM0 = _mm_sub_pd(XMM0, XMM4); \
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XMM1 = _mm_sub_pd(XMM1, XMM5); \
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XMM2 = _mm_sub_pd(XMM2, XMM6); \
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XMM3 = _mm_sub_pd(XMM3, XMM7); \
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_mm_store_pd((z)+i , XMM0); \
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_mm_store_pd((z)+i+2, XMM1); \
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_mm_store_pd((z)+i+4, XMM2); \
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_mm_store_pd((z)+i+6, XMM3); \
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} \
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}
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#define vecscale(y, c, n) \
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{ \
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int i; \
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__m128d XMM7 = _mm_set1_pd(c); \
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for (i = 0;i < (n);i += 4) { \
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__m128d XMM0 = _mm_load_pd((y)+i ); \
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__m128d XMM1 = _mm_load_pd((y)+i+2); \
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XMM0 = _mm_mul_pd(XMM0, XMM7); \
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XMM1 = _mm_mul_pd(XMM1, XMM7); \
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_mm_store_pd((y)+i , XMM0); \
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_mm_store_pd((y)+i+2, XMM1); \
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} \
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}
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#define vecmul(y, x, n) \
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{ \
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int i; \
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for (i = 0;i < (n);i += 8) { \
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__m128d XMM0 = _mm_load_pd((x)+i ); \
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__m128d XMM1 = _mm_load_pd((x)+i+2); \
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__m128d XMM2 = _mm_load_pd((x)+i+4); \
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__m128d XMM3 = _mm_load_pd((x)+i+6); \
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__m128d XMM4 = _mm_load_pd((y)+i ); \
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__m128d XMM5 = _mm_load_pd((y)+i+2); \
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__m128d XMM6 = _mm_load_pd((y)+i+4); \
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__m128d XMM7 = _mm_load_pd((y)+i+6); \
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XMM4 = _mm_mul_pd(XMM4, XMM0); \
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XMM5 = _mm_mul_pd(XMM5, XMM1); \
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XMM6 = _mm_mul_pd(XMM6, XMM2); \
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XMM7 = _mm_mul_pd(XMM7, XMM3); \
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_mm_store_pd((y)+i , XMM4); \
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_mm_store_pd((y)+i+2, XMM5); \
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_mm_store_pd((y)+i+4, XMM6); \
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_mm_store_pd((y)+i+6, XMM7); \
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} \
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}
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#if 3 <= __SSE__
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/*
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Horizontal add with haddps SSE3 instruction. The work register (rw)
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is unused.
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*/
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#define __horizontal_sum(r, rw) \
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r = _mm_hadd_ps(r, r); \
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r = _mm_hadd_ps(r, r);
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#else
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/*
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Horizontal add with SSE instruction. The work register (rw) is used.
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*/
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#define __horizontal_sum(r, rw) \
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rw = r; \
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r = _mm_shuffle_ps(r, rw, _MM_SHUFFLE(1, 0, 3, 2)); \
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r = _mm_add_ps(r, rw); \
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rw = r; \
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r = _mm_shuffle_ps(r, rw, _MM_SHUFFLE(2, 3, 0, 1)); \
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r = _mm_add_ps(r, rw);
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#endif
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#define vecdot(s, x, y, n) \
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{ \
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int i; \
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__m128d XMM0 = _mm_setzero_pd(); \
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__m128d XMM1 = _mm_setzero_pd(); \
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__m128d XMM2, XMM3, XMM4, XMM5; \
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for (i = 0;i < (n);i += 4) { \
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XMM2 = _mm_load_pd((x)+i ); \
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XMM3 = _mm_load_pd((x)+i+2); \
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XMM4 = _mm_load_pd((y)+i ); \
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XMM5 = _mm_load_pd((y)+i+2); \
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XMM2 = _mm_mul_pd(XMM2, XMM4); \
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XMM3 = _mm_mul_pd(XMM3, XMM5); \
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XMM0 = _mm_add_pd(XMM0, XMM2); \
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XMM1 = _mm_add_pd(XMM1, XMM3); \
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} \
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XMM0 = _mm_add_pd(XMM0, XMM1); \
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XMM1 = _mm_shuffle_pd(XMM0, XMM0, _MM_SHUFFLE2(1, 1)); \
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XMM0 = _mm_add_pd(XMM0, XMM1); \
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_mm_store_sd((s), XMM0); \
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}
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#define vec2norm(s, x, n) \
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{ \
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int i; \
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__m128d XMM0 = _mm_setzero_pd(); \
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__m128d XMM1 = _mm_setzero_pd(); \
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__m128d XMM2, XMM3, XMM4, XMM5; \
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for (i = 0;i < (n);i += 4) { \
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XMM2 = _mm_load_pd((x)+i ); \
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XMM3 = _mm_load_pd((x)+i+2); \
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XMM4 = XMM2; \
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XMM5 = XMM3; \
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XMM2 = _mm_mul_pd(XMM2, XMM4); \
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XMM3 = _mm_mul_pd(XMM3, XMM5); \
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XMM0 = _mm_add_pd(XMM0, XMM2); \
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XMM1 = _mm_add_pd(XMM1, XMM3); \
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} \
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XMM0 = _mm_add_pd(XMM0, XMM1); \
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XMM1 = _mm_shuffle_pd(XMM0, XMM0, _MM_SHUFFLE2(1, 1)); \
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XMM0 = _mm_add_pd(XMM0, XMM1); \
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XMM0 = _mm_sqrt_pd(XMM0); \
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_mm_store_sd((s), XMM0); \
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}
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#define vec2norminv(s, x, n) \
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{ \
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int i; \
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__m128d XMM0 = _mm_setzero_pd(); \
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__m128d XMM1 = _mm_setzero_pd(); \
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__m128d XMM2, XMM3, XMM4, XMM5; \
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for (i = 0;i < (n);i += 4) { \
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XMM2 = _mm_load_pd((x)+i ); \
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XMM3 = _mm_load_pd((x)+i+2); \
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XMM4 = XMM2; \
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XMM5 = XMM3; \
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XMM2 = _mm_mul_pd(XMM2, XMM4); \
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XMM3 = _mm_mul_pd(XMM3, XMM5); \
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XMM0 = _mm_add_pd(XMM0, XMM2); \
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XMM1 = _mm_add_pd(XMM1, XMM3); \
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} \
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XMM2 = _mm_set1_pd(1.0); \
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XMM0 = _mm_add_pd(XMM0, XMM1); \
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XMM1 = _mm_shuffle_pd(XMM0, XMM0, _MM_SHUFFLE2(1, 1)); \
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XMM0 = _mm_add_pd(XMM0, XMM1); \
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XMM0 = _mm_sqrt_pd(XMM0); \
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XMM2 = _mm_div_pd(XMM2, XMM0); \
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_mm_store_sd((s), XMM2); \
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}
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