Avoid errors when compiling for AVX2 due to SIMD LJ implementation
Signed-off-by: Rafael Ravedutti <rafaelravedutti@gmail.com>
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@ -25,7 +25,9 @@
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#include <stdlib.h>
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#include <stdlib.h>
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#include <string.h>
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#include <string.h>
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#include <immintrin.h>
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#include <immintrin.h>
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#ifndef NO_ZMM_INTRIN
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# include <zmmintrin.h>
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# include <zmmintrin.h>
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#endif
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#ifndef CLUSTER_M
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#ifndef CLUSTER_M
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# define CLUSTER_M 1
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# define CLUSTER_M 1
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@ -22,7 +22,9 @@
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*/
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*/
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#include <immintrin.h>
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#include <immintrin.h>
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#ifndef NO_ZMM_INTRIN
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# include <zmmintrin.h>
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# include <zmmintrin.h>
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#endif
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#define MD_SIMD_FLOAT __m512d
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#define MD_SIMD_FLOAT __m512d
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#define MD_SIMD_MASK __mmask8
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#define MD_SIMD_MASK __mmask8
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@ -24,9 +24,9 @@
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#include <stdlib.h>
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#include <stdlib.h>
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#include <string.h>
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#include <string.h>
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#include <immintrin.h>
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#include <immintrin.h>
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#include <zmmintrin.h>
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#define MD_SIMD_FLOAT __m256d
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#define MD_SIMD_FLOAT __m256d
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#define MD_SIMD_INT __m128i
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#ifdef NO_AVX2
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#ifdef NO_AVX2
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# define MD_SIMD_MASK __m256d
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# define MD_SIMD_MASK __m256d
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@ -41,7 +41,6 @@ static inline MD_SIMD_FLOAT simd_sub(MD_SIMD_FLOAT a, MD_SIMD_FLOAT b) { return
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static inline MD_SIMD_FLOAT simd_mul(MD_SIMD_FLOAT a, MD_SIMD_FLOAT b) { return _mm256_mul_pd(a, b); }
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static inline MD_SIMD_FLOAT simd_mul(MD_SIMD_FLOAT a, MD_SIMD_FLOAT b) { return _mm256_mul_pd(a, b); }
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static inline MD_SIMD_FLOAT simd_load(MD_FLOAT *p) { return _mm256_load_pd(p); }
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static inline MD_SIMD_FLOAT simd_load(MD_FLOAT *p) { return _mm256_load_pd(p); }
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static inline void simd_store(MD_FLOAT *p, MD_SIMD_FLOAT a) { _mm256_store_pd(p, a); }
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static inline void simd_store(MD_FLOAT *p, MD_SIMD_FLOAT a) { _mm256_store_pd(p, a); }
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static inline MD_SIMD_FLOAT select_by_mask(MD_SIMD_FLOAT a, MD_SIMD_MASK m) { return _mm256_mask_mov_pd(_mm256_setzero_pd(), m, a); }
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static inline MD_SIMD_FLOAT simd_load_h_duplicate(const MD_FLOAT *m) {
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static inline MD_SIMD_FLOAT simd_load_h_duplicate(const MD_FLOAT *m) {
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MD_SIMD_FLOAT ret;
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MD_SIMD_FLOAT ret;
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fprintf(stderr, "simd_load_h_duplicate(): Not implemented for AVX/AVX2 with double precision!");
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fprintf(stderr, "simd_load_h_duplicate(): Not implemented for AVX/AVX2 with double precision!");
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@ -84,6 +83,7 @@ static inline MD_FLOAT simd_incr_reduced_sum(MD_FLOAT *m, MD_SIMD_FLOAT v0, MD_S
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#ifdef NO_AVX2
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#ifdef NO_AVX2
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static inline MD_SIMD_FLOAT select_by_mask(MD_SIMD_FLOAT a, MD_SIMD_MASK m) { return _mm256_and_pd(a, m); }
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static inline MD_SIMD_FLOAT simd_reciprocal(MD_SIMD_FLOAT a) { return _mm256_cvtps_pd(_mm_rcp_ps(_mm256_cvtpd_ps(a))); }
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static inline MD_SIMD_FLOAT simd_reciprocal(MD_SIMD_FLOAT a) { return _mm256_cvtps_pd(_mm_rcp_ps(_mm256_cvtpd_ps(a))); }
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static inline MD_SIMD_FLOAT simd_fma(MD_SIMD_FLOAT a, MD_SIMD_FLOAT b, MD_SIMD_FLOAT c) { return simd_add(simd_mul(a, b), c); }
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static inline MD_SIMD_FLOAT simd_fma(MD_SIMD_FLOAT a, MD_SIMD_FLOAT b, MD_SIMD_FLOAT c) { return simd_add(simd_mul(a, b), c); }
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static inline MD_SIMD_FLOAT simd_masked_add(MD_SIMD_FLOAT a, MD_SIMD_FLOAT b, MD_SIMD_MASK m) { return simd_add(a, _mm256_and_pd(b, m)); }
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static inline MD_SIMD_FLOAT simd_masked_add(MD_SIMD_FLOAT a, MD_SIMD_FLOAT b, MD_SIMD_MASK m) { return simd_add(a, _mm256_and_pd(b, m)); }
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@ -108,6 +108,7 @@ static inline MD_FLOAT simd_h_reduce_sum(MD_SIMD_FLOAT a) {
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#else // AVX2
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#else // AVX2
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static inline MD_SIMD_FLOAT select_by_mask(MD_SIMD_FLOAT a, MD_SIMD_MASK m) { return _mm256_mask_mov_pd(_mm256_setzero_pd(), m, a); }
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static inline MD_SIMD_FLOAT simd_reciprocal(MD_SIMD_FLOAT a) { return _mm256_rcp14_pd(a); }
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static inline MD_SIMD_FLOAT simd_reciprocal(MD_SIMD_FLOAT a) { return _mm256_rcp14_pd(a); }
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static inline MD_SIMD_FLOAT simd_fma(MD_SIMD_FLOAT a, MD_SIMD_FLOAT b, MD_SIMD_FLOAT c) { return _mm256_fmadd_pd(a, b, c); }
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static inline MD_SIMD_FLOAT simd_fma(MD_SIMD_FLOAT a, MD_SIMD_FLOAT b, MD_SIMD_FLOAT c) { return _mm256_fmadd_pd(a, b, c); }
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static inline MD_SIMD_FLOAT simd_masked_add(MD_SIMD_FLOAT a, MD_SIMD_FLOAT b, MD_SIMD_MASK m) { return _mm256_mask_add_pd(a, m, a, b); }
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static inline MD_SIMD_FLOAT simd_masked_add(MD_SIMD_FLOAT a, MD_SIMD_FLOAT b, MD_SIMD_MASK m) { return _mm256_mask_add_pd(a, m, a, b); }
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@ -131,3 +132,14 @@ static inline void simd_h_decr3(MD_FLOAT *m, MD_SIMD_FLOAT a0, MD_SIMD_FLOAT a1,
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}
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}
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#endif
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#endif
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// Functions used in LAMMPS kernel
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static inline MD_SIMD_FLOAT simd_gather(MD_SIMD_INT vidx, const MD_FLOAT *m, int s) { return _mm256_i32gather_pd(m, vidx, s); }
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static inline MD_SIMD_INT simd_int_broadcast(int scalar) { return _mm_set1_epi32(scalar); }
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static inline MD_SIMD_INT simd_int_zero() { return _mm_setzero_si128(); }
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static inline MD_SIMD_INT simd_int_seq() { return _mm_set_epi32(3, 2, 1, 0); }
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static inline MD_SIMD_INT simd_int_load(const int *m) { return _mm_load_si128((__m128i const *) m); }
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static inline MD_SIMD_INT simd_int_add(MD_SIMD_INT a, MD_SIMD_INT b) { return _mm_add_epi32(a, b); }
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static inline MD_SIMD_INT simd_int_mul(MD_SIMD_INT a, MD_SIMD_INT b) { return _mm_mul_epi32(a, b); }
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static inline MD_SIMD_INT simd_int_mask_load(const int *m, MD_SIMD_MASK k) { return simd_int_load(m) & _mm256_cvtpd_epi32(k); }
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static inline MD_SIMD_MASK simd_mask_int_cond_lt(MD_SIMD_INT a, MD_SIMD_INT b) { return _mm256_cvtepi32_pd(_mm_cmplt_epi32(a, b)); }
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@ -8,10 +8,10 @@ ANSI_CFLAGS += -Wextra
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# CFLAGS = -O0 -g -std=c99 -fargument-noalias
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# CFLAGS = -O0 -g -std=c99 -fargument-noalias
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#CFLAGS = -O3 -march=cascadelake -ffast-math -funroll-loops # -fopenmp
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#CFLAGS = -O3 -march=cascadelake -ffast-math -funroll-loops # -fopenmp
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#CFLAGS = -O3 -march=native -ffast-math -funroll-loops # -fopenmp
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CFLAGS = -O3 -march=native -ffast-math -funroll-loops # -fopenmp
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CFLAGS = -O3 -march=znver1 -ffast-math -funroll-loops # -fopenmp
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#CFLAGS = -O3 -march=znver1 -ffast-math -funroll-loops # -fopenmp
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ASFLAGS = -masm=intel
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ASFLAGS = -masm=intel
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LFLAGS =
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LFLAGS =
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DEFINES = -D_GNU_SOURCE -DLIKWID_PERFMON
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DEFINES = -D_GNU_SOURCE -DNO_ZMM_INTRIN
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INCLUDES = $(LIKWID_INC)
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INCLUDES = $(LIKWID_INC)
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LIBS = -lm $(LIKWID_LIB) -llikwid
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LIBS = -lm
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@ -209,6 +209,10 @@ double computeForceLJFullNeigh_simd(Parameter *param, Atom *atom, Neighbor *neig
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double S = getTimeStamp();
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double S = getTimeStamp();
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LIKWID_MARKER_START("force");
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LIKWID_MARKER_START("force");
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#ifdef NO_AVX2
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fprintf(stderr, "Error: SIMD kernel implemented for AVX2 and AVX512 only!");
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exit(-1);
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#else
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#pragma omp parallel for
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#pragma omp parallel for
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for(int i = 0; i < Nlocal; i++) {
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for(int i = 0; i < Nlocal; i++) {
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neighs = &neighbor->neighbors[i * neighbor->maxneighs];
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neighs = &neighbor->neighbors[i * neighbor->maxneighs];
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@ -250,6 +254,7 @@ double computeForceLJFullNeigh_simd(Parameter *param, Atom *atom, Neighbor *neig
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atom_fy(i) += simd_h_reduce_sum(fiy);
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atom_fy(i) += simd_h_reduce_sum(fiy);
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atom_fz(i) += simd_h_reduce_sum(fiz);
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atom_fz(i) += simd_h_reduce_sum(fiz);
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}
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}
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#endif
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LIKWID_MARKER_STOP("force");
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LIKWID_MARKER_STOP("force");
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double E = getTimeStamp();
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double E = getTimeStamp();
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