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FNMA asm-instruction
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@ -174,6 +174,42 @@ namespace ngcore
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NETGEN_INLINE SIMD<double,4> ceil (SIMD<double,4> a) { return _mm256_ceil_pd(a.Data()); }
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NETGEN_INLINE SIMD<double,4> fabs (SIMD<double,4> a) { return _mm256_max_pd(a.Data(), (-a).Data()); }
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#ifdef __FMA__
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NETGEN_INLINE SIMD<double,4> FMA (SIMD<double,4> a, SIMD<double,4> b, SIMD<double,4> c)
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{
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return _mm256_fmadd_pd (a.Data(), b.Data(), c.Data());
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}
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NETGEN_INLINE SIMD<double,4> FMA (const double & a, SIMD<double,4> b, SIMD<double,4> c)
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{
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return _mm256_fmadd_pd (_mm256_set1_pd(a), b.Data(), c.Data());
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}
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#endif
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#if defined(__FMA__) && !defined(__AVX512F__)
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// make sure to use the update-version of fma
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// important in matrix kernels using 12 sum-registers, 3 a-values and updated b-value
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// avx512 has enough registers, and gcc seems to use only the first 16 z-regs
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NETGEN_INLINE void FMAasm (SIMD<double,4> a, SIMD<double,4> b, SIMD<double,4> & sum)
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{
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asm ("vfmadd231pd %[a], %[b], %[sum]"
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: [sum] "+x" (sum.Data())
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: [a] "x" (a.Data()), [b] "x" (b.Data())
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);
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}
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NETGEN_INLINE void FNMAasm (SIMD<double,4> a, SIMD<double,4> b, SIMD<double,4> & sum)
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{
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asm ("vfnmadd231pd %[a], %[b], %[sum]"
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: [sum] "+x" (sum.Data())
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: [a] "x" (a.Data()), [b] "x" (b.Data())
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);
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}
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#endif
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NETGEN_INLINE SIMD<mask64,4> operator<= (SIMD<double,4> a , SIMD<double,4> b)
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{ return _mm256_cmp_pd (a.Data(), b.Data(), _CMP_LE_OQ); }
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NETGEN_INLINE SIMD<mask64,4> operator< (SIMD<double,4> a , SIMD<double,4> b)
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@ -527,6 +527,14 @@ namespace ngcore
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sum = FMA(a,b,sum);
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}
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// update form of fms
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template <int N>
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void FNMAasm (SIMD<double,N> a, SIMD<double,N> b, SIMD<double,N> & sum)
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{
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sum -= a*b;
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}
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template <int i, typename T, int N>
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T get(SIMD<T,N> a) { return a[i]; }
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