Optimize the performance of daxpy by using universal intrinsics

Author: Qiyu8

kernel/simd/intrin.h

@@ -0,0 +1,51 @@
+#ifndef _INTRIN_H_
+#define _INTRIN_H_
+
+#ifdef __cplusplus
+extern "C" {
+#endif
+// include head
+/** SSE **/
+#ifdef HAVE_SSE
+#include <xmmintrin.h>
+#endif
+/** SSE2 **/
+#ifdef HAVE_SSE2
+#include <emmintrin.h>
+#endif
+/** SSE3 **/
+#ifdef HAVE_SSE3
+#include <pmmintrin.h>
+#endif
+/** SSSE3 **/
+#ifdef HAVE_SSSE3
+#include <tmmintrin.h>
+#endif
+/** SSE41 **/
+#ifdef HAVE_SSE4_1
+#include <smmintrin.h>
+#endif
+
+/** AVX **/
+#ifdef HAVE_AVX
+#include <immintrin.h>
+#endif
+
+// distribute
+#if defined(HAVE_AVX512VL) || defined(HAVE_AVX512BF16)
+#include "intrin_avx512.h"
+#elif defined(HAVE_AVX2)
+#include "intrin_avx.h"
+#elif defined(HAVE_SSE2)
+#include "intrin_sse.h"
+#endif
+
+#ifndef V_SIMD
+    #define V_SIMD 0
+    #define V_SIMD_F64 0
+#endif
+
+#ifdef __cplusplus
+}
+#endif
+#endif // _INTRIN_H_

kernel/simd/intrin_avx.h

@@ -0,0 +1,19 @@
+#define V_SIMD 256
+#define V_SIMD_F64 1
+/*
+Data Type
+*/
+typedef __m256  v_f32;
+#define v_nlanes_f32 8
+/*
+arithmetic
+*/
+#define v_add_f32 _mm256_add_ps
+#define v_mul_f32 _mm256_mul_ps
+/*
+memory
+*/
+// unaligned load
+#define v_loadu_f32 _mm256_loadu_ps
+#define v_storeu_f32 _mm256_storeu_ps
+#define v_setall_f32(VAL) _mm256_set1_ps(VAL)

kernel/simd/intrin_avx512.h

@@ -0,0 +1,19 @@
+#define V_SIMD 512
+#define V_SIMD_F64 1
+/*
+Data Type
+*/
+typedef __m512  v_f32;
+#define v_nlanes_f32 16
+/*
+arithmetic
+*/
+#define v_add_f32 _mm512_add_ps
+#define v_mul_f32 _mm512_mul_ps
+/*
+memory
+*/
+// unaligned load
+#define v_loadu_f32(PTR) _mm512_loadu_ps((const __m512*)(PTR))
+#define v_storeu_f32(PTR) _mm512_storeu_ps((const __m512*)(PTR))
+#define v_setall_f32(VAL) _mm512_set1_ps(VAL)

kernel/simd/intrin_sse.h

@@ -0,0 +1,19 @@
+#define V_SIMD 128
+#define V_SIMD_F64 1
+/*
+Data Type
+*/
+typedef __m128  v_f32;
+#define v_nlanes_f32 4
+/*
+arithmetic
+*/
+#define v_add_f32 _mm_add_ps
+#define v_mul_f32 _mm_mul_ps
+/*
+memory
+*/
+// unaligned load
+#define v_loadu_f32 _mm_loadu_ps
+#define v_storeu_f32 _mm_storeu_ps
+#define v_setall_f32(VAL) _mm_set1_ps(VAL)

kernel/x86_64/daxpy.c

@@ -45,28 +45,35 @@ USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
 #include "daxpy_microk_sandy-2.c"
 #endif
 
-
 #ifndef HAVE_KERNEL_8
+#include"../simd/intrin.h"
 
-static void daxpy_kernel_8(BLASLONG n, FLOAT *x, FLOAT *y, FLOAT *alpha)
+void daxpy_kernel_8(BLASLONG n, FLOAT *x, FLOAT *y, FLOAT *alpha)
 {
 	BLASLONG register i = 0;
 	FLOAT a = *alpha;
-
+#if V_SIMD
+	v_f32 __alpha, tmp;
+	__alpha =  v_setall_f32(*alpha);
+	const int vstep = v_nlanes_f32;
+	for (; i < n; i += vstep) {
+		tmp = v_add_f32(v_loadu_f32(y + i), v_mul_f32(__alpha, v_loadu_f32( x + i )));
+		v_storeu_f32(y + i, tmp);
+	}
+#else
 	while(i < n)
-        {
-              y[i]   += a * x[i];
-              y[i+1] += a * x[i+1];
-              y[i+2] += a * x[i+2];
-              y[i+3] += a * x[i+3];
-              y[i+4] += a * x[i+4];
-              y[i+5] += a * x[i+5];
-              y[i+6] += a * x[i+6];
-              y[i+7] += a * x[i+7];
-              i+=8 ;
-
-       }
-
+	{
+		y[i]   += a * x[i];
+		y[i+1] += a * x[i+1];
+		y[i+2] += a * x[i+2];
+		y[i+3] += a * x[i+3];
+		y[i+4] += a * x[i+4];
+		y[i+5] += a * x[i+5];
+		y[i+6] += a * x[i+6];
+		y[i+7] += a * x[i+7];
+		i+=8 ;
+	}
+#endif
 }
 
 #endif