diff --git a/configure.ac b/configure.ac
index f69c78d..2397b2f 100644
--- a/configure.ac
+++ b/configure.ac
@@ -378,6 +378,17 @@
 	AM_CONDITIONAL(HAVE_SSE4_1, false)
 fi
 
+AC_ARG_ENABLE(neon,
+	[AS_HELP_STRING(
+		[--enable-neon],
+		[Enable NEON support]
+	)],
+	[neon=$enableval], [neon="no"])
+AC_DEFINE(HAVE_NEON,,
+[Support ARM NEON instructions])
+AM_CONDITIONAL(HAVE_NEON, [test "x$neon" != "xno"])
+
+
 OSMO_AC_CODE_COVERAGE
 
 dnl Check if the compiler supports specified GCC's built-in function
diff --git a/src/Makefile.am b/src/Makefile.am
index 16119d9..be09784 100644
--- a/src/Makefile.am
+++ b/src/Makefile.am
@@ -48,6 +48,11 @@
 endif
 endif
 
+if HAVE_NEON
+libosmocore_la_SOURCES += conv_acc_neon.c
+# conv_acc_neon.lo : AM_CFLAGS += -mfpu=neon no, could as well be vfp with neon
+endif
+
 BUILT_SOURCES = crc8gen.c crc16gen.c crc32gen.c crc64gen.c
 EXTRA_DIST = conv_acc_sse_impl.h crcXXgen.c.tpl
 
diff --git a/src/conv_acc.c b/src/conv_acc.c
index c16e436..0f6f7ca 100644
--- a/src/conv_acc.c
+++ b/src/conv_acc.c
@@ -85,6 +85,11 @@
 void osmo_conv_sse_avx_vdec_free(int16_t *ptr);
 #endif
 
+#ifdef HAVE_NEON
+int16_t *osmo_conv_neon_vdec_malloc(size_t n);
+void osmo_conv_neon_vdec_free(int16_t *ptr);
+#endif
+
 /* Forward Metric Units */
 void osmo_conv_gen_metrics_k5_n2(const int8_t *seq, const int16_t *out,
 	int16_t *sums, int16_t *paths, int norm);
@@ -129,6 +134,21 @@
 	int16_t *sums, int16_t *paths, int norm);
 #endif
 
+#if defined(HAVE_NEON)
+void osmo_conv_neon_metrics_k5_n2(const int8_t *seq, const int16_t *out,
+	int16_t *sums, int16_t *paths, int norm);
+void osmo_conv_neon_metrics_k5_n3(const int8_t *seq, const int16_t *out,
+	int16_t *sums, int16_t *paths, int norm);
+void osmo_conv_neon_metrics_k5_n4(const int8_t *seq, const int16_t *out,
+	int16_t *sums, int16_t *paths, int norm);
+void osmo_conv_neon_metrics_k7_n2(const int8_t *seq, const int16_t *out,
+	int16_t *sums, int16_t *paths, int norm);
+void osmo_conv_neon_metrics_k7_n3(const int8_t *seq, const int16_t *out,
+	int16_t *sums, int16_t *paths, int norm);
+void osmo_conv_neon_metrics_k7_n4(const int8_t *seq, const int16_t *out,
+	int16_t *sums, int16_t *paths, int norm);
+#endif
+
 /* Trellis State
  * state - Internal lshift register value
  * prev  - Register values of previous 0 and 1 states
@@ -528,6 +548,12 @@
 	if (dec->k == 5) {
 		switch (dec->n) {
 		case 2:
+/* rach len 14 is too short for neon */
+#ifdef HAVE_NEON
+			if (code->len < 100)
+				dec->metric_func = osmo_conv_gen_metrics_k5_n2;
+			else
+#endif
 			dec->metric_func = osmo_conv_metrics_k5_n2;
 			break;
 		case 3:
@@ -681,6 +707,8 @@
 	} else {
 		INIT_POINTERS(gen);
 	}
+#elif defined(HAVE_NEON)
+	INIT_POINTERS(neon);
 #else
 	INIT_POINTERS(gen);
 #endif
diff --git a/src/conv_acc_neon.c b/src/conv_acc_neon.c
new file mode 100644
index 0000000..7244946
--- /dev/null
+++ b/src/conv_acc_neon.c
@@ -0,0 +1,110 @@
+/*! \file conv_acc_neon.c
+ * Accelerated Viterbi decoder implementation
+ * for architectures with only NEON available. */
+/*
+ * (C) 2020 by sysmocom - s.f.m.c. GmbH
+ * Author: Eric Wild
+ *
+ * All Rights Reserved
+ *
+ * SPDX-License-Identifier: GPL-2.0+
+ *
+ * This program is free software; you can redistribute it and/or modify
+ * it under the terms of the GNU General Public License as published by
+ * the Free Software Foundation; either version 2 of the License, or
+ * (at your option) any later version.
+ *
+ * This program is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ * GNU General Public License for more details.
+ *
+ * You should have received a copy of the GNU General Public License along
+ * with this program; if not, write to the Free Software Foundation, Inc.,
+ * 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
+ */
+
+#include <stdlib.h>
+#include <stdint.h>
+#include <malloc.h>
+#include "config.h"
+
+#if defined(HAVE_NEON)
+#include <arm_neon.h>
+#endif
+
+/* align req is 16 on android because google was confused, 8 on sane platforms */
+#define NEON_ALIGN 8
+
+#include <conv_acc_neon_impl.h>
+
+/* Aligned Memory Allocator
+ * NEON requires 8-byte memory alignment. We store relevant trellis values
+ * (accumulated sums, outputs, and path decisions) as 16 bit signed integers
+ * so the allocated memory is casted as such.
+ */
+__attribute__ ((visibility("hidden")))
+int16_t *osmo_conv_neon_vdec_malloc(size_t n)
+{
+	return (int16_t *) memalign(NEON_ALIGN, sizeof(int16_t) * n);
+}
+
+__attribute__ ((visibility("hidden")))
+void osmo_conv_neon_vdec_free(int16_t *ptr)
+{
+	free(ptr);
+}
+
+__attribute__ ((visibility("hidden")))
+void osmo_conv_neon_metrics_k5_n2(const int8_t *val, const int16_t *out,
+	int16_t *sums, int16_t *paths, int norm)
+{
+	const int16_t _val[4] = { val[0], val[1], val[0], val[1] };
+
+	_neon_metrics_k5_n2(_val, out, sums, paths, norm);
+}
+
+__attribute__ ((visibility("hidden")))
+void osmo_conv_neon_metrics_k5_n3(const int8_t *val, const int16_t *out,
+	int16_t *sums, int16_t *paths, int norm)
+{
+	const int16_t _val[4] = { val[0], val[1], val[2], 0 };
+
+	_neon_metrics_k5_n4(_val, out, sums, paths, norm);
+}
+
+__attribute__ ((visibility("hidden")))
+void osmo_conv_neon_metrics_k5_n4(const int8_t *val, const int16_t *out,
+	int16_t *sums, int16_t *paths, int norm)
+{
+	const int16_t _val[4] = { val[0], val[1], val[2], val[3] };
+
+	_neon_metrics_k5_n4(_val, out, sums, paths, norm);
+}
+
+__attribute__ ((visibility("hidden")))
+void osmo_conv_neon_metrics_k7_n2(const int8_t *val, const int16_t *out,
+	int16_t *sums, int16_t *paths, int norm)
+{
+	const int16_t _val[4] = { val[0], val[1], val[0], val[1] };
+
+	_neon_metrics_k7_n2(_val, out, sums, paths, norm);
+}
+
+__attribute__ ((visibility("hidden")))
+void osmo_conv_neon_metrics_k7_n3(const int8_t *val, const int16_t *out,
+	int16_t *sums, int16_t *paths, int norm)
+{
+	const int16_t _val[4] = { val[0], val[1], val[2], 0 };
+
+	_neon_metrics_k7_n4(_val, out, sums, paths, norm);
+}
+
+__attribute__ ((visibility("hidden")))
+void osmo_conv_neon_metrics_k7_n4(const int8_t *val, const int16_t *out,
+	int16_t *sums, int16_t *paths, int norm)
+{
+	const int16_t _val[4] = { val[0], val[1], val[2], val[3] };
+
+	_neon_metrics_k7_n4(_val, out, sums, paths, norm);
+}
diff --git a/src/conv_acc_neon_impl.h b/src/conv_acc_neon_impl.h
new file mode 100644
index 0000000..4471127
--- /dev/null
+++ b/src/conv_acc_neon_impl.h
@@ -0,0 +1,354 @@
+/*! \file conv_acc_neon_impl.h
+ * Accelerated Viterbi decoder implementation:
+ * straight port of SSE to NEON based on Tom Tsous work */
+/*
+ * (C) 2020 by sysmocom - s.f.m.c. GmbH
+ * Author: Eric Wild
+ *
+ * All Rights Reserved
+ *
+ * SPDX-License-Identifier: GPL-2.0+
+ *
+ * This program is free software; you can redistribute it and/or modify
+ * it under the terms of the GNU General Public License as published by
+ * the Free Software Foundation; either version 2 of the License, or
+ * (at your option) any later version.
+ *
+ * This program is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ * GNU General Public License for more details.
+ *
+ * You should have received a copy of the GNU General Public License along
+ * with this program; if not, write to the Free Software Foundation, Inc.,
+ * 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
+ */
+
+/* Some distributions (notably Alpine Linux) for some strange reason
+ * don't have this #define */
+#ifndef __always_inline
+#define __always_inline inline __attribute__((always_inline))
+#endif
+
+#define NEON_BUTTERFLY(M0,M1,M2,M3,M4) \
+{ \
+	M3 = vqaddq_s16(M0, M2); \
+	M4 = vqsubq_s16(M1, M2); \
+	M0 = vqsubq_s16(M0, M2); \
+	M1 = vqaddq_s16(M1, M2); \
+	M2 = vmaxq_s16(M3, M4); \
+	M3 = vreinterpretq_s16_u16(vcgtq_s16(M3, M4)); \
+	M4 = vmaxq_s16(M0, M1); \
+	M1 = vreinterpretq_s16_u16(vcgtq_s16(M0, M1)); \
+}
+
+#define NEON_DEINTERLEAVE_K5(M0,M1,M2,M3) \
+{ \
+	int16x8x2_t tmp; \
+	tmp = vuzpq_s16(M0, M1); \
+	M2 = tmp.val[0]; \
+	M3 = tmp.val[1]; \
+}
+
+#define NEON_DEINTERLEAVE_K7(M0,M1,M2,M3,M4,M5,M6,M7,M8,M9,M10,M11,M12,M13,M14,M15) \
+{ \
+	int16x8x2_t tmp; \
+	tmp = vuzpq_s16(M0, M1); \
+	M8 = tmp.val[0]; M9 = tmp.val[1]; \
+	tmp = vuzpq_s16(M2, M3); \
+	M10 = tmp.val[0]; M11 = tmp.val[1]; \
+	tmp = vuzpq_s16(M4, M5); \
+	M12 = tmp.val[0]; M13 = tmp.val[1]; \
+	tmp = vuzpq_s16(M6, M7); \
+	M14 = tmp.val[0]; M15 = tmp.val[1]; \
+}
+
+#define NEON_BRANCH_METRIC_N2(M0,M1,M2,M3,M4,M6,M7) \
+{ \
+	M0 = vmulq_s16(M4, M0); \
+	M1 = vmulq_s16(M4, M1); \
+	M2 = vmulq_s16(M4, M2); \
+	M3 = vmulq_s16(M4, M3); \
+	M6 = vcombine_s16(vpadd_s16(vget_low_s16(M0), vget_high_s16(M0)), vpadd_s16(vget_low_s16(M1), vget_high_s16(M1))); \
+	M7 = vcombine_s16(vpadd_s16(vget_low_s16(M2), vget_high_s16(M2)), vpadd_s16(vget_low_s16(M3), vget_high_s16(M3))); \
+}
+
+#define NEON_BRANCH_METRIC_N4(M0,M1,M2,M3,M4,M5) \
+{ \
+	M0 = vmulq_s16(M4, M0); \
+	M1 = vmulq_s16(M4, M1); \
+	M2 = vmulq_s16(M4, M2); \
+	M3 = vmulq_s16(M4, M3); \
+	int16x4_t t1 = vpadd_s16(vpadd_s16(vget_low_s16(M0), vget_high_s16(M0)), vpadd_s16(vget_low_s16(M1), vget_high_s16(M1))); \
+	int16x4_t t2 = vpadd_s16(vpadd_s16(vget_low_s16(M2), vget_high_s16(M2)), vpadd_s16(vget_low_s16(M3), vget_high_s16(M3))); \
+	M5 = vcombine_s16(t1, t2); \
+}
+
+#define NEON_NORMALIZE_K5(M0,M1,M2,M3) \
+{ \
+	M2 = vminq_s16(M0, M1); \
+	int16x4_t t = vpmin_s16(vget_low_s16(M2), vget_high_s16(M2)); \
+	t = vpmin_s16(t, t); \
+	t = vpmin_s16(t, t); \
+	M2 = vdupq_lane_s16(t, 0); \
+	M0 = vqsubq_s16(M0, M2); \
+	M1 = vqsubq_s16(M1, M2); \
+}
+
+#define NEON_NORMALIZE_K7(M0,M1,M2,M3,M4,M5,M6,M7,M8,M9,M10,M11) \
+{ \
+	M8 = vminq_s16(M0, M1); \
+	M9 = vminq_s16(M2, M3); \
+	M10 = vminq_s16(M4, M5); \
+	M11 = vminq_s16(M6, M7); \
+	M8 = vminq_s16(M8, M9); \
+	M10 = vminq_s16(M10, M11); \
+	M8 = vminq_s16(M8, M10); \
+	int16x4_t t = vpmin_s16(vget_low_s16(M8), vget_high_s16(M8)); \
+	t = vpmin_s16(t, t); \
+	t = vpmin_s16(t, t); \
+	M8 = vdupq_lane_s16(t, 0); \
+	M0 = vqsubq_s16(M0, M8); \
+	M1 = vqsubq_s16(M1, M8); \
+	M2 = vqsubq_s16(M2, M8); \
+	M3 = vqsubq_s16(M3, M8); \
+	M4 = vqsubq_s16(M4, M8); \
+	M5 = vqsubq_s16(M5, M8); \
+	M6 = vqsubq_s16(M6, M8); \
+	M7 = vqsubq_s16(M7, M8); \
+}
+
+__always_inline void _neon_metrics_k5_n2(const int16_t *val, const int16_t *outa, int16_t *sumsa, int16_t *paths,
+					 int norm)
+{
+	int16_t *__restrict out = __builtin_assume_aligned(outa, 8);
+	int16_t *__restrict sums = __builtin_assume_aligned(sumsa, 8);
+	int16x8_t m0, m1, m2, m3, m4, m5, m6;
+	int16x4_t input;
+
+	/* (BMU) Load and expand 8-bit input out to 16-bits */
+	input = vld1_s16(val);
+	m2 = vcombine_s16(input, input);
+
+	/* (BMU) Load and compute branch metrics */
+	m0 = vld1q_s16(&out[0]);
+	m1 = vld1q_s16(&out[8]);
+
+	m0 = vmulq_s16(m2, m0);
+	m1 = vmulq_s16(m2, m1);
+	m2 = vcombine_s16(vpadd_s16(vget_low_s16(m0), vget_high_s16(m0)),
+			  vpadd_s16(vget_low_s16(m1), vget_high_s16(m1)));
+
+	/* (PMU) Load accumulated path matrics */
+	m0 = vld1q_s16(&sums[0]);
+	m1 = vld1q_s16(&sums[8]);
+
+	NEON_DEINTERLEAVE_K5(m0, m1, m3, m4)
+
+	/* (PMU) Butterflies: 0-7 */
+	NEON_BUTTERFLY(m3, m4, m2, m5, m6)
+
+	if (norm)
+		NEON_NORMALIZE_K5(m2, m6, m0, m1)
+
+	vst1q_s16(&sums[0], m2);
+	vst1q_s16(&sums[8], m6);
+	vst1q_s16(&paths[0], m5);
+	vst1q_s16(&paths[8], m4);
+}
+
+__always_inline void _neon_metrics_k5_n4(const int16_t *val, const int16_t *outa, int16_t *sumsa, int16_t *paths,
+					 int norm)
+{
+	int16_t *__restrict out = __builtin_assume_aligned(outa, 8);
+	int16_t *__restrict sums = __builtin_assume_aligned(sumsa, 8);
+	int16x8_t m0, m1, m2, m3, m4, m5, m6;
+	int16x4_t input;
+
+	/* (BMU) Load and expand 8-bit input out to 16-bits */
+	input = vld1_s16(val);
+	m4 = vcombine_s16(input, input);
+
+	/* (BMU) Load and compute branch metrics */
+	m0 = vld1q_s16(&out[0]);
+	m1 = vld1q_s16(&out[8]);
+	m2 = vld1q_s16(&out[16]);
+	m3 = vld1q_s16(&out[24]);
+
+	NEON_BRANCH_METRIC_N4(m0, m1, m2, m3, m4, m2)
+
+	/* (PMU) Load accumulated path matrics */
+	m0 = vld1q_s16(&sums[0]);
+	m1 = vld1q_s16(&sums[8]);
+
+	NEON_DEINTERLEAVE_K5(m0, m1, m3, m4)
+
+	/* (PMU) Butterflies: 0-7 */
+	NEON_BUTTERFLY(m3, m4, m2, m5, m6)
+
+	if (norm)
+		NEON_NORMALIZE_K5(m2, m6, m0, m1)
+
+	vst1q_s16(&sums[0], m2);
+	vst1q_s16(&sums[8], m6);
+	vst1q_s16(&paths[0], m5);
+	vst1q_s16(&paths[8], m4);
+}
+
+__always_inline static void _neon_metrics_k7_n2(const int16_t *val, const int16_t *outa, int16_t *sumsa, int16_t *paths,
+						int norm)
+{
+	int16_t *__restrict out = __builtin_assume_aligned(outa, 8);
+	int16_t *__restrict sums = __builtin_assume_aligned(sumsa, 8);
+	int16x8_t m0, m1, m2, m3, m4, m5, m6, m7;
+	int16x8_t m8, m9, m10, m11, m12, m13, m14, m15;
+	int16x4_t input;
+
+	/* (PMU) Load accumulated path matrics */
+	m0 = vld1q_s16(&sums[0]);
+	m1 = vld1q_s16(&sums[8]);
+	m2 = vld1q_s16(&sums[16]);
+	m3 = vld1q_s16(&sums[24]);
+	m4 = vld1q_s16(&sums[32]);
+	m5 = vld1q_s16(&sums[40]);
+	m6 = vld1q_s16(&sums[48]);
+	m7 = vld1q_s16(&sums[56]);
+
+	/* (PMU) Deinterleave into even and odd packed registers */
+	NEON_DEINTERLEAVE_K7(m0, m1, m2, m3, m4, m5, m6, m7, m8, m9, m10, m11, m12, m13, m14, m15)
+
+	/* (BMU) Load and expand 8-bit input out to 16-bits */
+	input = vld1_s16(val);
+	m7 = vcombine_s16(input, input);
+
+	/* (BMU) Load and compute branch metrics */
+	m0 = vld1q_s16(&out[0]);
+	m1 = vld1q_s16(&out[8]);
+	m2 = vld1q_s16(&out[16]);
+	m3 = vld1q_s16(&out[24]);
+
+	NEON_BRANCH_METRIC_N2(m0, m1, m2, m3, m7, m4, m5)
+
+	m0 = vld1q_s16(&out[32]);
+	m1 = vld1q_s16(&out[40]);
+	m2 = vld1q_s16(&out[48]);
+	m3 = vld1q_s16(&out[56]);
+
+	NEON_BRANCH_METRIC_N2(m0, m1, m2, m3, m7, m6, m7)
+
+	/* (PMU) Butterflies: 0-15 */
+	NEON_BUTTERFLY(m8, m9, m4, m0, m1)
+	NEON_BUTTERFLY(m10, m11, m5, m2, m3)
+
+	vst1q_s16(&paths[0], m0);
+	vst1q_s16(&paths[8], m2);
+	vst1q_s16(&paths[32], m9);
+	vst1q_s16(&paths[40], m11);
+
+	/* (PMU) Butterflies: 17-31 */
+	NEON_BUTTERFLY(m12, m13, m6, m0, m2)
+	NEON_BUTTERFLY(m14, m15, m7, m9, m11)
+
+	vst1q_s16(&paths[16], m0);
+	vst1q_s16(&paths[24], m9);
+	vst1q_s16(&paths[48], m13);
+	vst1q_s16(&paths[56], m15);
+
+	if (norm)
+		NEON_NORMALIZE_K7(m4, m1, m5, m3, m6, m2, m7, m11, m0, m8, m9, m10)
+
+	vst1q_s16(&sums[0], m4);
+	vst1q_s16(&sums[8], m5);
+	vst1q_s16(&sums[16], m6);
+	vst1q_s16(&sums[24], m7);
+	vst1q_s16(&sums[32], m1);
+	vst1q_s16(&sums[40], m3);
+	vst1q_s16(&sums[48], m2);
+	vst1q_s16(&sums[56], m11);
+}
+
+__always_inline static void _neon_metrics_k7_n4(const int16_t *val, const int16_t *outa, int16_t *sumsa, int16_t *paths,
+						int norm)
+{
+	int16_t *__restrict out = __builtin_assume_aligned(outa, 8);
+	int16_t *__restrict sums = __builtin_assume_aligned(sumsa, 8);
+	int16x8_t m0, m1, m2, m3, m4, m5, m6, m7;
+	int16x8_t m8, m9, m10, m11, m12, m13, m14, m15;
+	int16x4_t input;
+
+	/* (PMU) Load accumulated path matrics */
+	m0 = vld1q_s16(&sums[0]);
+	m1 = vld1q_s16(&sums[8]);
+	m2 = vld1q_s16(&sums[16]);
+	m3 = vld1q_s16(&sums[24]);
+	m4 = vld1q_s16(&sums[32]);
+	m5 = vld1q_s16(&sums[40]);
+	m6 = vld1q_s16(&sums[48]);
+	m7 = vld1q_s16(&sums[56]);
+
+	/* (PMU) Deinterleave into even and odd packed registers */
+	NEON_DEINTERLEAVE_K7(m0, m1, m2, m3, m4, m5, m6, m7, m8, m9, m10, m11, m12, m13, m14, m15)
+
+	/* (BMU) Load and expand 8-bit input out to 16-bits */
+	input = vld1_s16(val);
+	m7 = vcombine_s16(input, input);
+
+	/* (BMU) Load and compute branch metrics */
+	m0 = vld1q_s16(&out[0]);
+	m1 = vld1q_s16(&out[8]);
+	m2 = vld1q_s16(&out[16]);
+	m3 = vld1q_s16(&out[24]);
+
+	NEON_BRANCH_METRIC_N4(m0, m1, m2, m3, m7, m4)
+
+	m0 = vld1q_s16(&out[32]);
+	m1 = vld1q_s16(&out[40]);
+	m2 = vld1q_s16(&out[48]);
+	m3 = vld1q_s16(&out[56]);
+
+	NEON_BRANCH_METRIC_N4(m0, m1, m2, m3, m7, m5)
+
+	m0 = vld1q_s16(&out[64]);
+	m1 = vld1q_s16(&out[72]);
+	m2 = vld1q_s16(&out[80]);
+	m3 = vld1q_s16(&out[88]);
+
+	NEON_BRANCH_METRIC_N4(m0, m1, m2, m3, m7, m6)
+
+	m0 = vld1q_s16(&out[96]);
+	m1 = vld1q_s16(&out[104]);
+	m2 = vld1q_s16(&out[112]);
+	m3 = vld1q_s16(&out[120]);
+
+	NEON_BRANCH_METRIC_N4(m0, m1, m2, m3, m7, m7)
+
+	/* (PMU) Butterflies: 0-15 */
+	NEON_BUTTERFLY(m8, m9, m4, m0, m1)
+	NEON_BUTTERFLY(m10, m11, m5, m2, m3)
+
+	vst1q_s16(&paths[0], m0);
+	vst1q_s16(&paths[8], m2);
+	vst1q_s16(&paths[32], m9);
+	vst1q_s16(&paths[40], m11);
+
+	/* (PMU) Butterflies: 17-31 */
+	NEON_BUTTERFLY(m12, m13, m6, m0, m2)
+	NEON_BUTTERFLY(m14, m15, m7, m9, m11)
+
+	vst1q_s16(&paths[16], m0);
+	vst1q_s16(&paths[24], m9);
+	vst1q_s16(&paths[48], m13);
+	vst1q_s16(&paths[56], m15);
+
+	if (norm)
+		NEON_NORMALIZE_K7(m4, m1, m5, m3, m6, m2, m7, m11, m0, m8, m9, m10)
+
+	vst1q_s16(&sums[0], m4);
+	vst1q_s16(&sums[8], m5);
+	vst1q_s16(&sums[16], m6);
+	vst1q_s16(&sums[24], m7);
+	vst1q_s16(&sums[32], m1);
+	vst1q_s16(&sums[40], m3);
+	vst1q_s16(&sums[48], m2);
+	vst1q_s16(&sums[56], m11);
+}