Merge pull request #950 from amaury-ml/neon-func

More simd/Neon functions #950

glm/detail/func_geometric_simd.inl

@@ -96,4 +96,70 @@ namespace detail
 }//namespace detail
 }//namespace glm
 
+#elif GLM_ARCH & GLM_ARCH_NEON_BIT
+namespace glm{
+namespace detail
+{
+	template<qualifier Q>
+	struct compute_length<4, float, Q, true>
+	{
+		GLM_FUNC_QUALIFIER static float call(vec<4, float, Q> const& v)
+		{
+			return compute_dot<vec<4, float, Q>, float, true>::call(v, v);
+		}
+	};
+
+	template<qualifier Q>
+	struct compute_distance<4, float, Q, true>
+	{
+		GLM_FUNC_QUALIFIER static float call(vec<4, float, Q> const& p0, vec<4, float, Q> const& p1)
+		{
+			return compute_length<4, float, Q, true>::call(p1 - p0);
+		}
+	};
+
+
+	template<qualifier Q>
+	struct compute_dot<vec<4, float, Q>, float, true>
+	{
+		GLM_FUNC_QUALIFIER static float call(vec<4, float, Q> const& x, vec<4, float, Q> const& y)
+		{
+#if GLM_ARCH & GLM_ARCH_ARMV8_BIT
+			float32x4_t v = vmulq_f32(x.data, y.data);
+			v = vpaddq_f32(v, v);
+			v = vpaddq_f32(v, v);
+			return vgetq_lane_f32(v, 0);
+#else  // Armv7a with Neon
+			float32x4_t p = vmulq_f32(x.data, y.data);
+			float32x2_t v = vpadd_f32(vget_low_f32(p), vget_high_f32(p));
+			v = vpadd_f32(v, v);
+			return vget_lane_f32(v, 0);
+#endif
+		}
+	};
+
+	template<qualifier Q>
+	struct compute_normalize<4, float, Q, true>
+	{
+		GLM_FUNC_QUALIFIER static vec<4, float, Q> call(vec<4, float, Q> const& v)
+		{
+			float32x4_t p = vmulq_f32(v.data, v.data);
+#if GLM_ARCH & GLM_ARCH_ARMV8_BIT
+			p = vpaddq_f32(p, p);
+			p = vpaddq_f32(p, p);
+#else
+			float32x2_t t = vpadd_f32(vget_low_f32(p), vget_high_f32(p));
+			t = vpadd_f32(t, t);
+			p = vcombine_f32(t, t);
+#endif
+
+			float32x4_t vd = vrsqrteq_f32(p);
+			vec<4, float, Q> Result;
+			Result.data = vmulq_f32(v, vd);
+			return Result;
+		}
+	};
+}//namespace detail
+}//namespace glm
+
 #endif//GLM_ARCH & GLM_ARCH_SSE2_BIT

glm/detail/func_matrix_simd.inl

@@ -91,4 +91,41 @@ namespace detail
 #	endif
 }//namespace glm
 
+#elif GLM_ARCH & GLM_ARCH_NEON_BIT
+
+namespace glm {
+#if GLM_LANG & GLM_LANG_CXX11_FLAG
+	template <qualifier Q>
+	GLM_FUNC_QUALIFIER
+	typename std::enable_if<detail::is_aligned<Q>::value, mat<4, 4, float, Q>>::type
+	operator*(mat<4, 4, float, Q> const & m1, mat<4, 4, float, Q> const & m2)
+	{
+		auto MulRow = [&](int l) {
+			float32x4_t const SrcA = m2[l].data;
+
+#if GLM_ARCH & GLM_ARCH_ARMV8_BIT
+			float32x4_t r=   vmulq_laneq_f32(m1[0].data, SrcA, 0);
+			r = vaddq_f32(r, vmulq_laneq_f32(m1[1].data, SrcA, 1));
+			r = vaddq_f32(r, vmulq_laneq_f32(m1[2].data, SrcA, 2));
+			r = vaddq_f32(r, vmulq_laneq_f32(m1[3].data, SrcA, 3));
+#else
+			float32x4_t r=   vmulq_f32(m1[0].data, vdupq_n_f32(vgetq_lane_f32(SrcA, 0)));
+			r = vaddq_f32(r, vmulq_f32(m1[1].data, vdupq_n_f32(vgetq_lane_f32(SrcA, 1))));
+			r = vaddq_f32(r, vmulq_f32(m1[2].data, vdupq_n_f32(vgetq_lane_f32(SrcA, 2))));
+			r = vaddq_f32(r, vmulq_f32(m1[3].data, vdupq_n_f32(vgetq_lane_f32(SrcA, 3))));
+#endif
+
+			return r;
+		};
+
+		mat<4, 4, float, aligned_highp> Result;
+		Result[0].data = MulRow(0);
+		Result[1].data = MulRow(1);
+		Result[2].data = MulRow(2);
+		Result[3].data = MulRow(3);
+
+		return Result;
+	}
+#endif // CXX11
+}//namespace glm
 #endif