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Neels Hofmeyr17518fe2017-06-20 04:35:06 +02001/*! \file conv_acc_sse_impl.h
2 * Accelerated Viterbi decoder implementation:
Vadim Yanitskiy46e533c2017-06-19 18:21:02 +07003 * Actual definitions which are being included
Neels Hofmeyr17518fe2017-06-20 04:35:06 +02004 * from both conv_acc_sse.c and conv_acc_sse_avx.c. */
5/*
Vadim Yanitskiy0d49f472017-05-28 18:20:02 +07006 * Copyright (C) 2013, 2014 Thomas Tsou <tom@tsou.cc>
7 *
8 * All Rights Reserved
9 *
10 * This program is free software; you can redistribute it and/or modify
11 * it under the terms of the GNU General Public License as published by
12 * the Free Software Foundation; either version 2 of the License, or
13 * (at your option) any later version.
14 *
15 * This program is distributed in the hope that it will be useful,
16 * but WITHOUT ANY WARRANTY; without even the implied warranty of
17 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
18 * GNU General Public License for more details.
19 *
20 * You should have received a copy of the GNU General Public License along
21 * with this program; if not, write to the Free Software Foundation, Inc.,
22 * 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
23 */
24
Harald Welte81dc67d2017-10-09 11:00:56 +080025/* Some distributions (notably Alpine Linux) for some strange reason
26 * don't have this #define */
27#ifndef __always_inline
28#define __always_inline inline __attribute__((always_inline))
29#endif
30
Vadim Yanitskiy0d49f472017-05-28 18:20:02 +070031extern int sse41_supported;
32
33/* Octo-Viterbi butterfly
34 * Compute 8-wide butterfly generating 16 path decisions and 16 accumulated
35 * sums. Inputs all packed 16-bit integers in three 128-bit XMM registers.
36 * Two intermediate registers are used and results are set in the upper 4
37 * registers.
38 *
39 * Input:
40 * M0 - Path metrics 0 (packed 16-bit integers)
41 * M1 - Path metrics 1 (packed 16-bit integers)
42 * M2 - Branch metrics (packed 16-bit integers)
43 *
44 * Output:
45 * M2 - Selected and accumulated path metrics 0
46 * M4 - Selected and accumulated path metrics 1
47 * M3 - Path selections 0
48 * M1 - Path selections 1
49 */
50#define SSE_BUTTERFLY(M0, M1, M2, M3, M4) \
51{ \
52 M3 = _mm_adds_epi16(M0, M2); \
53 M4 = _mm_subs_epi16(M1, M2); \
54 M0 = _mm_subs_epi16(M0, M2); \
55 M1 = _mm_adds_epi16(M1, M2); \
56 M2 = _mm_max_epi16(M3, M4); \
57 M3 = _mm_or_si128(_mm_cmpgt_epi16(M3, M4), _mm_cmpeq_epi16(M3, M4)); \
58 M4 = _mm_max_epi16(M0, M1); \
59 M1 = _mm_or_si128(_mm_cmpgt_epi16(M0, M1), _mm_cmpeq_epi16(M0, M1)); \
60}
61
62/* Two lane deinterleaving K = 5:
63 * Take 16 interleaved 16-bit integers and deinterleave to 2 packed 128-bit
64 * registers. The operation summarized below. Four registers are used with
65 * the lower 2 as input and upper 2 as output.
66 *
67 * In - 10101010 10101010 10101010 10101010
68 * Out - 00000000 11111111 00000000 11111111
69 *
70 * Input:
71 * M0:1 - Packed 16-bit integers
72 *
73 * Output:
74 * M2:3 - Deinterleaved packed 16-bit integers
75 */
76#define _I8_SHUFFLE_MASK 15, 14, 11, 10, 7, 6, 3, 2, 13, 12, 9, 8, 5, 4, 1, 0
77
78#define SSE_DEINTERLEAVE_K5(M0, M1, M2, M3) \
79{ \
80 M2 = _mm_set_epi8(_I8_SHUFFLE_MASK); \
81 M0 = _mm_shuffle_epi8(M0, M2); \
82 M1 = _mm_shuffle_epi8(M1, M2); \
83 M2 = _mm_unpacklo_epi64(M0, M1); \
84 M3 = _mm_unpackhi_epi64(M0, M1); \
85}
86
87/* Two lane deinterleaving K = 7:
88 * Take 64 interleaved 16-bit integers and deinterleave to 8 packed 128-bit
89 * registers. The operation summarized below. 16 registers are used with the
90 * lower 8 as input and upper 8 as output.
91 *
92 * In - 10101010 10101010 10101010 10101010 ...
93 * Out - 00000000 11111111 00000000 11111111 ...
94 *
95 * Input:
96 * M0:7 - Packed 16-bit integers
97 *
98 * Output:
99 * M8:15 - Deinterleaved packed 16-bit integers
100 */
101#define SSE_DEINTERLEAVE_K7(M0, M1, M2, M3, M4, M5, M6, M7, \
102 M8, M9, M10, M11, M12, M13, M14, M15) \
103{ \
104 M8 = _mm_set_epi8(_I8_SHUFFLE_MASK); \
105 M0 = _mm_shuffle_epi8(M0, M8); \
106 M1 = _mm_shuffle_epi8(M1, M8); \
107 M2 = _mm_shuffle_epi8(M2, M8); \
108 M3 = _mm_shuffle_epi8(M3, M8); \
109 M4 = _mm_shuffle_epi8(M4, M8); \
110 M5 = _mm_shuffle_epi8(M5, M8); \
111 M6 = _mm_shuffle_epi8(M6, M8); \
112 M7 = _mm_shuffle_epi8(M7, M8); \
113 M8 = _mm_unpacklo_epi64(M0, M1); \
114 M9 = _mm_unpackhi_epi64(M0, M1); \
115 M10 = _mm_unpacklo_epi64(M2, M3); \
116 M11 = _mm_unpackhi_epi64(M2, M3); \
117 M12 = _mm_unpacklo_epi64(M4, M5); \
118 M13 = _mm_unpackhi_epi64(M4, M5); \
119 M14 = _mm_unpacklo_epi64(M6, M7); \
120 M15 = _mm_unpackhi_epi64(M6, M7); \
121}
122
123/* Generate branch metrics N = 2:
124 * Compute 16 branch metrics from trellis outputs and input values.
125 *
126 * Input:
127 * M0:3 - 16 x 2 packed 16-bit trellis outputs
128 * M4 - Expanded and packed 16-bit input value
129 *
130 * Output:
131 * M6:7 - 16 computed 16-bit branch metrics
132 */
133#define SSE_BRANCH_METRIC_N2(M0, M1, M2, M3, M4, M6, M7) \
134{ \
135 M0 = _mm_sign_epi16(M4, M0); \
136 M1 = _mm_sign_epi16(M4, M1); \
137 M2 = _mm_sign_epi16(M4, M2); \
138 M3 = _mm_sign_epi16(M4, M3); \
139 M6 = _mm_hadds_epi16(M0, M1); \
140 M7 = _mm_hadds_epi16(M2, M3); \
141}
142
143/* Generate branch metrics N = 4:
144 * Compute 8 branch metrics from trellis outputs and input values. This
145 * macro is reused for N less than 4 where the extra soft input bits are
146 * padded.
147 *
148 * Input:
149 * M0:3 - 8 x 4 packed 16-bit trellis outputs
150 * M4 - Expanded and packed 16-bit input value
151 *
152 * Output:
153 * M5 - 8 computed 16-bit branch metrics
154 */
155#define SSE_BRANCH_METRIC_N4(M0, M1, M2, M3, M4, M5) \
156{ \
157 M0 = _mm_sign_epi16(M4, M0); \
158 M1 = _mm_sign_epi16(M4, M1); \
159 M2 = _mm_sign_epi16(M4, M2); \
160 M3 = _mm_sign_epi16(M4, M3); \
161 M0 = _mm_hadds_epi16(M0, M1); \
162 M1 = _mm_hadds_epi16(M2, M3); \
163 M5 = _mm_hadds_epi16(M0, M1); \
164}
165
166/* Horizontal minimum
167 * Compute horizontal minimum of packed unsigned 16-bit integers and place
168 * result in the low 16-bit element of the source register. Only SSE 4.1
169 * has a dedicated minpos instruction. One intermediate register is used
170 * if SSE 4.1 is not available. This is a destructive operation and the
171 * source register is overwritten.
172 *
173 * Input:
174 * M0 - Packed unsigned 16-bit integers
175 *
176 * Output:
177 * M0 - Minimum value placed in low 16-bit element
178 */
179#if defined(HAVE_SSE4_1) || defined(HAVE_SSE41)
180#define SSE_MINPOS(M0, M1) \
181{ \
182 if (sse41_supported) { \
183 M0 = _mm_minpos_epu16(M0); \
184 } else { \
185 M1 = _mm_shuffle_epi32(M0, _MM_SHUFFLE(0, 0, 3, 2)); \
186 M0 = _mm_min_epi16(M0, M1); \
187 M1 = _mm_shufflelo_epi16(M0, _MM_SHUFFLE(0, 0, 3, 2)); \
188 M0 = _mm_min_epi16(M0, M1); \
189 M1 = _mm_shufflelo_epi16(M0, _MM_SHUFFLE(0, 0, 0, 1)); \
190 M0 = _mm_min_epi16(M0, M1); \
191 } \
192}
193#else
194#define SSE_MINPOS(M0, M1) \
195{ \
196 M1 = _mm_shuffle_epi32(M0, _MM_SHUFFLE(0, 0, 3, 2)); \
197 M0 = _mm_min_epi16(M0, M1); \
198 M1 = _mm_shufflelo_epi16(M0, _MM_SHUFFLE(0, 0, 3, 2)); \
199 M0 = _mm_min_epi16(M0, M1); \
200 M1 = _mm_shufflelo_epi16(M0, _MM_SHUFFLE(0, 0, 0, 1)); \
201 M0 = _mm_min_epi16(M0, M1); \
202}
203#endif
204
205/* Normalize state metrics K = 5:
206 * Compute 16-wide normalization by subtracting the smallest value from
207 * all values. Inputs are 16 packed 16-bit integers across 2 XMM registers.
208 * Two intermediate registers are used and normalized results are placed
209 * in the originating locations.
210 *
211 * Input:
212 * M0:1 - Path metrics 0:1 (packed 16-bit integers)
213 *
214 * Output:
215 * M0:1 - Normalized path metrics 0:1
216 */
217#define SSE_NORMALIZE_K5(M0, M1, M2, M3) \
218{ \
219 M2 = _mm_min_epi16(M0, M1); \
220 SSE_MINPOS(M2, M3) \
221 SSE_BROADCAST(M2) \
222 M0 = _mm_subs_epi16(M0, M2); \
223 M1 = _mm_subs_epi16(M1, M2); \
224}
225
226/* Normalize state metrics K = 7:
227 * Compute 64-wide normalization by subtracting the smallest value from
228 * all values. Inputs are 8 registers of accumulated sums and 4 temporary
229 * registers. Normalized results are returned in the originating locations.
230 *
231 * Input:
232 * M0:7 - Path metrics 0:7 (packed 16-bit integers)
233 *
234 * Output:
235 * M0:7 - Normalized path metrics 0:7
236 */
237#define SSE_NORMALIZE_K7(M0, M1, M2, M3, M4, M5, M6, M7, M8, M9, M10, M11) \
238{ \
239 M8 = _mm_min_epi16(M0, M1); \
240 M9 = _mm_min_epi16(M2, M3); \
241 M10 = _mm_min_epi16(M4, M5); \
242 M11 = _mm_min_epi16(M6, M7); \
243 M8 = _mm_min_epi16(M8, M9); \
244 M10 = _mm_min_epi16(M10, M11); \
245 M8 = _mm_min_epi16(M8, M10); \
246 SSE_MINPOS(M8, M9) \
247 SSE_BROADCAST(M8) \
248 M0 = _mm_subs_epi16(M0, M8); \
249 M1 = _mm_subs_epi16(M1, M8); \
250 M2 = _mm_subs_epi16(M2, M8); \
251 M3 = _mm_subs_epi16(M3, M8); \
252 M4 = _mm_subs_epi16(M4, M8); \
253 M5 = _mm_subs_epi16(M5, M8); \
254 M6 = _mm_subs_epi16(M6, M8); \
255 M7 = _mm_subs_epi16(M7, M8); \
256}
257
258/* Combined BMU/PMU (K=5, N=2)
259 * Compute branch metrics followed by path metrics for half rate 16-state
260 * trellis. 8 butterflies are computed. Accumulated path sums are not
261 * preserved and read and written into the same memory location. Normalize
262 * sums if requires.
263 */
264__always_inline static void _sse_metrics_k5_n2(const int16_t *val,
265 const int16_t *out, int16_t *sums, int16_t *paths, int norm)
266{
267 __m128i m0, m1, m2, m3, m4, m5, m6;
268
269 /* (BMU) Load input sequence */
270 m2 = _mm_castpd_si128(_mm_loaddup_pd((double const *) val));
271
272 /* (BMU) Load trellis outputs */
273 m0 = _mm_load_si128((__m128i *) &out[0]);
274 m1 = _mm_load_si128((__m128i *) &out[8]);
275
276 /* (BMU) Compute branch metrics */
277 m0 = _mm_sign_epi16(m2, m0);
278 m1 = _mm_sign_epi16(m2, m1);
279 m2 = _mm_hadds_epi16(m0, m1);
280
281 /* (PMU) Load accumulated path metrics */
282 m0 = _mm_load_si128((__m128i *) &sums[0]);
283 m1 = _mm_load_si128((__m128i *) &sums[8]);
284
285 SSE_DEINTERLEAVE_K5(m0, m1, m3, m4)
286
287 /* (PMU) Butterflies: 0-7 */
288 SSE_BUTTERFLY(m3, m4, m2, m5, m6)
289
290 if (norm)
291 SSE_NORMALIZE_K5(m2, m6, m0, m1)
292
293 _mm_store_si128((__m128i *) &sums[0], m2);
294 _mm_store_si128((__m128i *) &sums[8], m6);
295 _mm_store_si128((__m128i *) &paths[0], m5);
296 _mm_store_si128((__m128i *) &paths[8], m4);
297}
298
299/* Combined BMU/PMU (K=5, N=3 and N=4)
300 * Compute branch metrics followed by path metrics for 16-state and rates
301 * to 1/4. 8 butterflies are computed. The input sequence is read four 16-bit
302 * values at a time, and extra values should be set to zero for rates other
303 * than 1/4. Normally only rates 1/3 and 1/4 are used as there is a
304 * dedicated implementation of rate 1/2.
305 */
306__always_inline static void _sse_metrics_k5_n4(const int16_t *val,
307 const int16_t *out, int16_t *sums, int16_t *paths, int norm)
308{
309 __m128i m0, m1, m2, m3, m4, m5, m6;
310
311 /* (BMU) Load input sequence */
312 m4 = _mm_castpd_si128(_mm_loaddup_pd((double const *) val));
313
314 /* (BMU) Load trellis outputs */
315 m0 = _mm_load_si128((__m128i *) &out[0]);
316 m1 = _mm_load_si128((__m128i *) &out[8]);
317 m2 = _mm_load_si128((__m128i *) &out[16]);
318 m3 = _mm_load_si128((__m128i *) &out[24]);
319
320 SSE_BRANCH_METRIC_N4(m0, m1, m2, m3, m4, m2)
321
322 /* (PMU) Load accumulated path metrics */
323 m0 = _mm_load_si128((__m128i *) &sums[0]);
324 m1 = _mm_load_si128((__m128i *) &sums[8]);
325
326 SSE_DEINTERLEAVE_K5(m0, m1, m3, m4)
327
328 /* (PMU) Butterflies: 0-7 */
329 SSE_BUTTERFLY(m3, m4, m2, m5, m6)
330
331 if (norm)
332 SSE_NORMALIZE_K5(m2, m6, m0, m1)
333
334 _mm_store_si128((__m128i *) &sums[0], m2);
335 _mm_store_si128((__m128i *) &sums[8], m6);
336 _mm_store_si128((__m128i *) &paths[0], m5);
337 _mm_store_si128((__m128i *) &paths[8], m4);
338}
339
340/* Combined BMU/PMU (K=7, N=2)
341 * Compute branch metrics followed by path metrics for half rate 64-state
342 * trellis. 32 butterfly operations are computed. Deinterleaving path
343 * metrics requires usage of the full SSE register file, so separate sums
344 * before computing branch metrics to avoid register spilling.
345 */
346__always_inline static void _sse_metrics_k7_n2(const int16_t *val,
347 const int16_t *out, int16_t *sums, int16_t *paths, int norm)
348{
349 __m128i m0, m1, m2, m3, m4, m5, m6, m7, m8,
350 m9, m10, m11, m12, m13, m14, m15;
351
352 /* (PMU) Load accumulated path metrics */
353 m0 = _mm_load_si128((__m128i *) &sums[0]);
354 m1 = _mm_load_si128((__m128i *) &sums[8]);
355 m2 = _mm_load_si128((__m128i *) &sums[16]);
356 m3 = _mm_load_si128((__m128i *) &sums[24]);
357 m4 = _mm_load_si128((__m128i *) &sums[32]);
358 m5 = _mm_load_si128((__m128i *) &sums[40]);
359 m6 = _mm_load_si128((__m128i *) &sums[48]);
360 m7 = _mm_load_si128((__m128i *) &sums[56]);
361
362 /* (PMU) Deinterleave to even-odd registers */
363 SSE_DEINTERLEAVE_K7(m0, m1, m2, m3 ,m4 ,m5, m6, m7,
364 m8, m9, m10, m11, m12, m13, m14, m15)
365
366 /* (BMU) Load input symbols */
367 m7 = _mm_castpd_si128(_mm_loaddup_pd((double const *) val));
368
369 /* (BMU) Load trellis outputs */
370 m0 = _mm_load_si128((__m128i *) &out[0]);
371 m1 = _mm_load_si128((__m128i *) &out[8]);
372 m2 = _mm_load_si128((__m128i *) &out[16]);
373 m3 = _mm_load_si128((__m128i *) &out[24]);
374
375 SSE_BRANCH_METRIC_N2(m0, m1, m2, m3, m7, m4, m5)
376
377 m0 = _mm_load_si128((__m128i *) &out[32]);
378 m1 = _mm_load_si128((__m128i *) &out[40]);
379 m2 = _mm_load_si128((__m128i *) &out[48]);
380 m3 = _mm_load_si128((__m128i *) &out[56]);
381
382 SSE_BRANCH_METRIC_N2(m0, m1, m2, m3, m7, m6, m7)
383
384 /* (PMU) Butterflies: 0-15 */
385 SSE_BUTTERFLY(m8, m9, m4, m0, m1)
386 SSE_BUTTERFLY(m10, m11, m5, m2, m3)
387
388 _mm_store_si128((__m128i *) &paths[0], m0);
389 _mm_store_si128((__m128i *) &paths[8], m2);
390 _mm_store_si128((__m128i *) &paths[32], m9);
391 _mm_store_si128((__m128i *) &paths[40], m11);
392
393 /* (PMU) Butterflies: 17-31 */
394 SSE_BUTTERFLY(m12, m13, m6, m0, m2)
395 SSE_BUTTERFLY(m14, m15, m7, m9, m11)
396
397 _mm_store_si128((__m128i *) &paths[16], m0);
398 _mm_store_si128((__m128i *) &paths[24], m9);
399 _mm_store_si128((__m128i *) &paths[48], m13);
400 _mm_store_si128((__m128i *) &paths[56], m15);
401
402 if (norm)
403 SSE_NORMALIZE_K7(m4, m1, m5, m3, m6, m2,
404 m7, m11, m0, m8, m9, m10)
405
406 _mm_store_si128((__m128i *) &sums[0], m4);
407 _mm_store_si128((__m128i *) &sums[8], m5);
408 _mm_store_si128((__m128i *) &sums[16], m6);
409 _mm_store_si128((__m128i *) &sums[24], m7);
410 _mm_store_si128((__m128i *) &sums[32], m1);
411 _mm_store_si128((__m128i *) &sums[40], m3);
412 _mm_store_si128((__m128i *) &sums[48], m2);
413 _mm_store_si128((__m128i *) &sums[56], m11);
414}
415
416/* Combined BMU/PMU (K=7, N=3 and N=4)
417 * Compute branch metrics followed by path metrics for half rate 64-state
418 * trellis. 32 butterfly operations are computed. Deinterleave path
419 * metrics before computing branch metrics as in the half rate case.
420 */
421__always_inline static void _sse_metrics_k7_n4(const int16_t *val,
422 const int16_t *out, int16_t *sums, int16_t *paths, int norm)
423{
424 __m128i m0, m1, m2, m3, m4, m5, m6, m7;
425 __m128i m8, m9, m10, m11, m12, m13, m14, m15;
426
427 /* (PMU) Load accumulated path metrics */
428 m0 = _mm_load_si128((__m128i *) &sums[0]);
429 m1 = _mm_load_si128((__m128i *) &sums[8]);
430 m2 = _mm_load_si128((__m128i *) &sums[16]);
431 m3 = _mm_load_si128((__m128i *) &sums[24]);
432 m4 = _mm_load_si128((__m128i *) &sums[32]);
433 m5 = _mm_load_si128((__m128i *) &sums[40]);
434 m6 = _mm_load_si128((__m128i *) &sums[48]);
435 m7 = _mm_load_si128((__m128i *) &sums[56]);
436
437 /* (PMU) Deinterleave into even and odd packed registers */
438 SSE_DEINTERLEAVE_K7(m0, m1, m2, m3 ,m4 ,m5, m6, m7,
439 m8, m9, m10, m11, m12, m13, m14, m15)
440
441 /* (BMU) Load and expand 8-bit input out to 16-bits */
442 m7 = _mm_castpd_si128(_mm_loaddup_pd((double const *) val));
443
444 /* (BMU) Load and compute branch metrics */
445 m0 = _mm_load_si128((__m128i *) &out[0]);
446 m1 = _mm_load_si128((__m128i *) &out[8]);
447 m2 = _mm_load_si128((__m128i *) &out[16]);
448 m3 = _mm_load_si128((__m128i *) &out[24]);
449
450 SSE_BRANCH_METRIC_N4(m0, m1, m2, m3, m7, m4)
451
452 m0 = _mm_load_si128((__m128i *) &out[32]);
453 m1 = _mm_load_si128((__m128i *) &out[40]);
454 m2 = _mm_load_si128((__m128i *) &out[48]);
455 m3 = _mm_load_si128((__m128i *) &out[56]);
456
457 SSE_BRANCH_METRIC_N4(m0, m1, m2, m3, m7, m5)
458
459 m0 = _mm_load_si128((__m128i *) &out[64]);
460 m1 = _mm_load_si128((__m128i *) &out[72]);
461 m2 = _mm_load_si128((__m128i *) &out[80]);
462 m3 = _mm_load_si128((__m128i *) &out[88]);
463
464 SSE_BRANCH_METRIC_N4(m0, m1, m2, m3, m7, m6)
465
466 m0 = _mm_load_si128((__m128i *) &out[96]);
467 m1 = _mm_load_si128((__m128i *) &out[104]);
468 m2 = _mm_load_si128((__m128i *) &out[112]);
469 m3 = _mm_load_si128((__m128i *) &out[120]);
470
471 SSE_BRANCH_METRIC_N4(m0, m1, m2, m3, m7, m7)
472
473 /* (PMU) Butterflies: 0-15 */
474 SSE_BUTTERFLY(m8, m9, m4, m0, m1)
475 SSE_BUTTERFLY(m10, m11, m5, m2, m3)
476
477 _mm_store_si128((__m128i *) &paths[0], m0);
478 _mm_store_si128((__m128i *) &paths[8], m2);
479 _mm_store_si128((__m128i *) &paths[32], m9);
480 _mm_store_si128((__m128i *) &paths[40], m11);
481
482 /* (PMU) Butterflies: 17-31 */
483 SSE_BUTTERFLY(m12, m13, m6, m0, m2)
484 SSE_BUTTERFLY(m14, m15, m7, m9, m11)
485
486 _mm_store_si128((__m128i *) &paths[16], m0);
487 _mm_store_si128((__m128i *) &paths[24], m9);
488 _mm_store_si128((__m128i *) &paths[48], m13);
489 _mm_store_si128((__m128i *) &paths[56], m15);
490
491 if (norm)
492 SSE_NORMALIZE_K7(m4, m1, m5, m3, m6, m2,
493 m7, m11, m0, m8, m9, m10)
494
495 _mm_store_si128((__m128i *) &sums[0], m4);
496 _mm_store_si128((__m128i *) &sums[8], m5);
497 _mm_store_si128((__m128i *) &sums[16], m6);
498 _mm_store_si128((__m128i *) &sums[24], m7);
499 _mm_store_si128((__m128i *) &sums[32], m1);
500 _mm_store_si128((__m128i *) &sums[40], m3);
501 _mm_store_si128((__m128i *) &sums[48], m2);
502 _mm_store_si128((__m128i *) &sums[56], m11);
503}