sonora-simd 0.1.0

SIMD abstraction layer for WebRTC Audio Processing
Documentation
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
//! SSE2 implementations of SIMD operations (x86/x86_64).

#[cfg(target_arch = "x86")]
use std::arch::x86::*;
#[cfg(target_arch = "x86_64")]
use std::arch::x86_64::*;

/// SSE2 dot product: processes 4 floats at a time.
///
/// # Safety
/// Caller must ensure SSE2 is available (via `is_x86_feature_detected!`).
#[target_feature(enable = "sse2")]
pub(crate) unsafe fn dot_product(a: &[f32], b: &[f32]) -> f32 {
    unsafe {
        let len = a.len();
        let chunks = len / 4;
        let remainder = len % 4;

        let mut acc = _mm_setzero_ps();

        let a_ptr = a.as_ptr();
        let b_ptr = b.as_ptr();

        for i in 0..chunks {
            let offset = i * 4;
            let va = _mm_loadu_ps(a_ptr.add(offset));
            let vb = _mm_loadu_ps(b_ptr.add(offset));
            acc = _mm_add_ps(acc, _mm_mul_ps(va, vb));
        }

        let mut result = horizontal_sum(acc);

        let tail_start = chunks * 4;
        for i in 0..remainder {
            result += a[tail_start + i] * b[tail_start + i];
        }

        result
    }
}

/// SSE2 dual dot product for sinc resampler convolution.
///
/// # Safety
/// Caller must ensure SSE2 is available.
#[target_feature(enable = "sse2")]
pub(crate) unsafe fn dual_dot_product(input: &[f32], k1: &[f32], k2: &[f32]) -> (f32, f32) {
    unsafe {
        let len = input.len();
        let chunks = len / 4;
        let remainder = len % 4;

        let mut acc1 = _mm_setzero_ps();
        let mut acc2 = _mm_setzero_ps();

        let input_ptr = input.as_ptr();
        let k1_ptr = k1.as_ptr();
        let k2_ptr = k2.as_ptr();

        for i in 0..chunks {
            let offset = i * 4;
            let vi = _mm_loadu_ps(input_ptr.add(offset));
            let vk1 = _mm_loadu_ps(k1_ptr.add(offset));
            let vk2 = _mm_loadu_ps(k2_ptr.add(offset));
            acc1 = _mm_add_ps(acc1, _mm_mul_ps(vi, vk1));
            acc2 = _mm_add_ps(acc2, _mm_mul_ps(vi, vk2));
        }

        let mut sum1 = horizontal_sum(acc1);
        let mut sum2 = horizontal_sum(acc2);

        let tail_start = chunks * 4;
        for i in 0..remainder {
            let idx = tail_start + i;
            sum1 += input[idx] * k1[idx];
            sum2 += input[idx] * k2[idx];
        }

        (sum1, sum2)
    }
}

/// SSE2 sinc resampler convolution: dual dot product with vector interpolation.
///
/// Matches C++ `Convolve_SSE`: interpolation happens on __m128 vectors
/// *before* horizontal reduction, matching the C++ rounding behavior exactly.
///
/// # Safety
/// Caller must ensure SSE2 is available.
#[target_feature(enable = "sse2")]
pub(crate) unsafe fn convolve_sinc(
    input: &[f32],
    k1: &[f32],
    k2: &[f32],
    kernel_interpolation_factor: f64,
) -> f32 {
    unsafe {
        let len = input.len();
        let chunks = len / 4;

        let mut acc1 = _mm_setzero_ps();
        let mut acc2 = _mm_setzero_ps();

        let input_ptr = input.as_ptr();
        let k1_ptr = k1.as_ptr();
        let k2_ptr = k2.as_ptr();

        for i in 0..chunks {
            let offset = i * 4;
            let vi = _mm_loadu_ps(input_ptr.add(offset));
            let vk1 = _mm_loadu_ps(k1_ptr.add(offset));
            let vk2 = _mm_loadu_ps(k2_ptr.add(offset));
            acc1 = _mm_add_ps(acc1, _mm_mul_ps(vi, vk1));
            acc2 = _mm_add_ps(acc2, _mm_mul_ps(vi, vk2));
        }

        // Linearly interpolate on vectors before horizontal reduction.
        // C++ casts double to float for the SIMD weights:
        //   static_cast<float>(1.0 - kernel_interpolation_factor)
        //   static_cast<float>(kernel_interpolation_factor)
        acc1 = _mm_mul_ps(
            acc1,
            _mm_set1_ps((1.0 - kernel_interpolation_factor) as f32),
        );
        acc2 = _mm_mul_ps(acc2, _mm_set1_ps(kernel_interpolation_factor as f32));
        acc1 = _mm_add_ps(acc1, acc2);

        // Horizontal sum of the interpolated result.
        let mut result = horizontal_sum(acc1);

        // Scalar tail (sinc resampler always uses KERNEL_SIZE=32 which is
        // divisible by 4, so this tail is never reached in practice).
        let tail_start = chunks * 4;
        let remainder = len % 4;
        if remainder > 0 {
            let factor = kernel_interpolation_factor as f32;
            for i in 0..remainder {
                let idx = tail_start + i;
                result += (1.0 - factor) * input[idx] * k1[idx] + factor * input[idx] * k2[idx];
            }
        }

        result
    }
}

/// SSE2 multiply-accumulate: acc[i] += a[i] * b[i]
///
/// # Safety
/// Caller must ensure SSE2 is available.
#[target_feature(enable = "sse2")]
pub(crate) unsafe fn multiply_accumulate(acc: &mut [f32], a: &[f32], b: &[f32]) {
    unsafe {
        let len = acc.len();
        let chunks = len / 4;
        let remainder = len % 4;

        let acc_ptr = acc.as_mut_ptr();
        let a_ptr = a.as_ptr();
        let b_ptr = b.as_ptr();

        for i in 0..chunks {
            let offset = i * 4;
            let vacc = _mm_loadu_ps(acc_ptr.add(offset));
            let va = _mm_loadu_ps(a_ptr.add(offset));
            let vb = _mm_loadu_ps(b_ptr.add(offset));
            let result = _mm_add_ps(vacc, _mm_mul_ps(va, vb));
            _mm_storeu_ps(acc_ptr.add(offset), result);
        }

        let tail_start = chunks * 4;
        for i in 0..remainder {
            let idx = tail_start + i;
            acc[idx] += a[idx] * b[idx];
        }
    }
}

/// SSE2 sum of all elements.
///
/// # Safety
/// Caller must ensure SSE2 is available.
#[target_feature(enable = "sse2")]
pub(crate) unsafe fn sum(x: &[f32]) -> f32 {
    unsafe {
        let len = x.len();
        let chunks = len / 4;
        let remainder = len % 4;

        let mut acc = _mm_setzero_ps();
        let ptr = x.as_ptr();

        for i in 0..chunks {
            let v = _mm_loadu_ps(ptr.add(i * 4));
            acc = _mm_add_ps(acc, v);
        }

        let mut result = horizontal_sum(acc);

        let tail_start = chunks * 4;
        for i in 0..remainder {
            result += x[tail_start + i];
        }

        result
    }
}

/// SSE2 elementwise square root: x[i] = sqrt(x[i])
///
/// # Safety
/// Caller must ensure SSE2 is available.
#[target_feature(enable = "sse2")]
pub(crate) unsafe fn elementwise_sqrt(x: &mut [f32]) {
    unsafe {
        let len = x.len();
        let chunks = len / 4;
        let remainder = len % 4;
        let ptr = x.as_mut_ptr();

        for i in 0..chunks {
            let offset = i * 4;
            let v = _mm_loadu_ps(ptr.add(offset));
            let result = _mm_sqrt_ps(v);
            _mm_storeu_ps(ptr.add(offset), result);
        }

        let tail_start = chunks * 4;
        for i in 0..remainder {
            x[tail_start + i] = x[tail_start + i].sqrt();
        }
    }
}

/// SSE2 elementwise multiply: z[i] = x[i] * y[i]
///
/// # Safety
/// Caller must ensure SSE2 is available.
#[target_feature(enable = "sse2")]
pub(crate) unsafe fn elementwise_multiply(x: &[f32], y: &[f32], z: &mut [f32]) {
    unsafe {
        let len = z.len();
        let chunks = len / 4;
        let remainder = len % 4;

        let x_ptr = x.as_ptr();
        let y_ptr = y.as_ptr();
        let z_ptr = z.as_mut_ptr();

        for i in 0..chunks {
            let offset = i * 4;
            let vx = _mm_loadu_ps(x_ptr.add(offset));
            let vy = _mm_loadu_ps(y_ptr.add(offset));
            let result = _mm_mul_ps(vx, vy);
            _mm_storeu_ps(z_ptr.add(offset), result);
        }

        let tail_start = chunks * 4;
        for i in 0..remainder {
            let idx = tail_start + i;
            z[idx] = x[idx] * y[idx];
        }
    }
}

/// SSE2 elementwise accumulate: z[i] += x[i]
///
/// # Safety
/// Caller must ensure SSE2 is available.
#[target_feature(enable = "sse2")]
pub(crate) unsafe fn elementwise_accumulate(x: &[f32], z: &mut [f32]) {
    unsafe {
        let len = z.len();
        let chunks = len / 4;
        let remainder = len % 4;

        let x_ptr = x.as_ptr();
        let z_ptr = z.as_mut_ptr();

        for i in 0..chunks {
            let offset = i * 4;
            let vx = _mm_loadu_ps(x_ptr.add(offset));
            let vz = _mm_loadu_ps(z_ptr.add(offset));
            let result = _mm_add_ps(vz, vx);
            _mm_storeu_ps(z_ptr.add(offset), result);
        }

        let tail_start = chunks * 4;
        for i in 0..remainder {
            let idx = tail_start + i;
            z[idx] += x[idx];
        }
    }
}

/// SSE2 power spectrum: out[i] = re[i]^2 + im[i]^2
///
/// # Safety
/// Caller must ensure SSE2 is available.
#[target_feature(enable = "sse2")]
pub(crate) unsafe fn power_spectrum(re: &[f32], im: &[f32], out: &mut [f32]) {
    unsafe {
        let len = out.len();
        let chunks = len / 4;
        let remainder = len % 4;

        let re_ptr = re.as_ptr();
        let im_ptr = im.as_ptr();
        let out_ptr = out.as_mut_ptr();

        for i in 0..chunks {
            let offset = i * 4;
            let vr = _mm_loadu_ps(re_ptr.add(offset));
            let vi = _mm_loadu_ps(im_ptr.add(offset));
            let rr = _mm_mul_ps(vr, vr);
            let ii = _mm_mul_ps(vi, vi);
            let result = _mm_add_ps(rr, ii);
            _mm_storeu_ps(out_ptr.add(offset), result);
        }

        let tail_start = chunks * 4;
        for i in 0..remainder {
            let idx = tail_start + i;
            out[idx] = re[idx] * re[idx] + im[idx] * im[idx];
        }
    }
}

/// SSE2 elementwise min: out[i] = min(a[i], b[i])
///
/// # Safety
/// Caller must ensure SSE2 is available.
#[target_feature(enable = "sse2")]
pub(crate) unsafe fn elementwise_min(a: &[f32], b: &[f32], out: &mut [f32]) {
    unsafe {
        let len = out.len();
        let chunks = len / 4;
        let remainder = len % 4;

        let a_ptr = a.as_ptr();
        let b_ptr = b.as_ptr();
        let out_ptr = out.as_mut_ptr();

        for i in 0..chunks {
            let offset = i * 4;
            let va = _mm_loadu_ps(a_ptr.add(offset));
            let vb = _mm_loadu_ps(b_ptr.add(offset));
            let result = _mm_min_ps(va, vb);
            _mm_storeu_ps(out_ptr.add(offset), result);
        }

        let tail_start = chunks * 4;
        for i in 0..remainder {
            let idx = tail_start + i;
            out[idx] = a[idx].min(b[idx]);
        }
    }
}

/// SSE2 elementwise max: out[i] = max(a[i], b[i])
///
/// # Safety
/// Caller must ensure SSE2 is available.
#[target_feature(enable = "sse2")]
pub(crate) unsafe fn elementwise_max(a: &[f32], b: &[f32], out: &mut [f32]) {
    unsafe {
        let len = out.len();
        let chunks = len / 4;
        let remainder = len % 4;

        let a_ptr = a.as_ptr();
        let b_ptr = b.as_ptr();
        let out_ptr = out.as_mut_ptr();

        for i in 0..chunks {
            let offset = i * 4;
            let va = _mm_loadu_ps(a_ptr.add(offset));
            let vb = _mm_loadu_ps(b_ptr.add(offset));
            let result = _mm_max_ps(va, vb);
            _mm_storeu_ps(out_ptr.add(offset), result);
        }

        let tail_start = chunks * 4;
        for i in 0..remainder {
            let idx = tail_start + i;
            out[idx] = a[idx].max(b[idx]);
        }
    }
}

/// SSE2 complex multiply-accumulate (AEC3 conjugate convention):
///   acc_re[i] += x_re[i]*h_re[i] + x_im[i]*h_im[i]
///   acc_im[i] += x_re[i]*h_im[i] - x_im[i]*h_re[i]
///
/// # Safety
/// Caller must ensure SSE2 is available.
#[target_feature(enable = "sse2")]
pub(crate) unsafe fn complex_multiply_accumulate(
    x_re: &[f32],
    x_im: &[f32],
    h_re: &[f32],
    h_im: &[f32],
    acc_re: &mut [f32],
    acc_im: &mut [f32],
) {
    unsafe {
        let len = acc_re.len();
        let chunks = len / 4;
        let remainder = len % 4;

        let xr_ptr = x_re.as_ptr();
        let xi_ptr = x_im.as_ptr();
        let hr_ptr = h_re.as_ptr();
        let hi_ptr = h_im.as_ptr();
        let ar_ptr = acc_re.as_mut_ptr();
        let ai_ptr = acc_im.as_mut_ptr();

        for i in 0..chunks {
            let offset = i * 4;
            let vxr = _mm_loadu_ps(xr_ptr.add(offset));
            let vxi = _mm_loadu_ps(xi_ptr.add(offset));
            let vhr = _mm_loadu_ps(hr_ptr.add(offset));
            let vhi = _mm_loadu_ps(hi_ptr.add(offset));

            // acc_re += x_re*h_re + x_im*h_im
            let var = _mm_loadu_ps(ar_ptr.add(offset));
            let re_part = _mm_add_ps(_mm_mul_ps(vxr, vhr), _mm_mul_ps(vxi, vhi));
            _mm_storeu_ps(ar_ptr.add(offset), _mm_add_ps(var, re_part));

            // acc_im += x_re*h_im - x_im*h_re
            let vai = _mm_loadu_ps(ai_ptr.add(offset));
            let im_part = _mm_sub_ps(_mm_mul_ps(vxr, vhi), _mm_mul_ps(vxi, vhr));
            _mm_storeu_ps(ai_ptr.add(offset), _mm_add_ps(vai, im_part));
        }

        let tail_start = chunks * 4;
        for i in 0..remainder {
            let idx = tail_start + i;
            acc_re[idx] += x_re[idx] * h_re[idx] + x_im[idx] * h_im[idx];
            acc_im[idx] += x_re[idx] * h_im[idx] - x_im[idx] * h_re[idx];
        }
    }
}

/// SSE2 standard complex multiply-accumulate:
///   acc_re[i] += x_re[i]*h_re[i] - x_im[i]*h_im[i]
///   acc_im[i] += x_re[i]*h_im[i] + x_im[i]*h_re[i]
///
/// # Safety
/// Caller must ensure SSE2 is available.
#[target_feature(enable = "sse2")]
pub(crate) unsafe fn complex_multiply_accumulate_standard(
    x_re: &[f32],
    x_im: &[f32],
    h_re: &[f32],
    h_im: &[f32],
    acc_re: &mut [f32],
    acc_im: &mut [f32],
) {
    unsafe {
        let len = acc_re.len();
        let chunks = len / 4;
        let remainder = len % 4;

        let xr_ptr = x_re.as_ptr();
        let xi_ptr = x_im.as_ptr();
        let hr_ptr = h_re.as_ptr();
        let hi_ptr = h_im.as_ptr();
        let ar_ptr = acc_re.as_mut_ptr();
        let ai_ptr = acc_im.as_mut_ptr();

        for i in 0..chunks {
            let offset = i * 4;
            let vxr = _mm_loadu_ps(xr_ptr.add(offset));
            let vxi = _mm_loadu_ps(xi_ptr.add(offset));
            let vhr = _mm_loadu_ps(hr_ptr.add(offset));
            let vhi = _mm_loadu_ps(hi_ptr.add(offset));

            // acc_re += x_re*h_re - x_im*h_im
            let var = _mm_loadu_ps(ar_ptr.add(offset));
            let re_part = _mm_sub_ps(_mm_mul_ps(vxr, vhr), _mm_mul_ps(vxi, vhi));
            _mm_storeu_ps(ar_ptr.add(offset), _mm_add_ps(var, re_part));

            // acc_im += x_re*h_im + x_im*h_re
            let vai = _mm_loadu_ps(ai_ptr.add(offset));
            let im_part = _mm_add_ps(_mm_mul_ps(vxr, vhi), _mm_mul_ps(vxi, vhr));
            _mm_storeu_ps(ai_ptr.add(offset), _mm_add_ps(vai, im_part));
        }

        let tail_start = chunks * 4;
        for i in 0..remainder {
            let idx = tail_start + i;
            acc_re[idx] += x_re[idx] * h_re[idx] - x_im[idx] * h_im[idx];
            acc_im[idx] += x_re[idx] * h_im[idx] + x_im[idx] * h_re[idx];
        }
    }
}

/// Reduce an __m128 to a scalar sum.
#[inline]
#[target_feature(enable = "sse2")]
unsafe fn horizontal_sum(v: __m128) -> f32 {
    let hi = _mm_movehl_ps(v, v);
    let sum = _mm_add_ps(v, hi);
    let shuf = _mm_shuffle_ps(sum, sum, 1);
    let result = _mm_add_ss(sum, shuf);
    _mm_cvtss_f32(result)
}