trueno 0.18.0

High-performance SIMD compute library with GPU support, LLM inference engine, and GGUF model loading
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
//! BLIS matrix packing routines.
//!
//! Packing transforms row-major matrices into micro-panel layouts optimized
//! for sequential access in the microkernel, ensuring optimal cache line
//! utilization and aligned loads for SIMD.
//!
//! # References
//!
//! - Van Zee, F. G., & Van de Geijn, R. A. (2015). BLIS: A Framework for Rapidly Instantiating
//!   BLAS Functionality. ACM TOMS, 41(3), Fig. 4.

use super::{MR, NR};
#[cfg(target_arch = "x86_64")]
use super::{MR_512, NR_512};

/// Pack A into MC x KC panel with MR-aligned micro-panels
///
/// Memory layout (Van Zee & Van de Geijn, 2015, Fig. 4):
/// Original A (row-major):     Packed A (column-major micro-panels):
/// [a00 a01 a02 ...]           [a00 a10 a20 ... a(MR-1)0 | a01 a11 ...]
/// [a10 a11 a12 ...]            \____ MR elements ____/
///
/// This layout ensures:
/// 1. Sequential access in the microkernel
/// 2. Optimal cache line utilization
/// 3. Aligned loads for SIMD
pub fn pack_a(
    a: &[f32],
    lda: usize, // Leading dimension of A (number of columns in original)
    mc: usize,  // Number of rows to pack
    kc: usize,  // Number of columns to pack
    packed: &mut [f32],
) {
    let mut pack_idx = 0;

    // Process MR rows at a time
    let full_panels = mc / MR;
    let remainder = mc % MR;

    for panel in 0..full_panels {
        let row_start = panel * MR;

        for col in 0..kc {
            for row in 0..MR {
                packed[pack_idx] = a[(row_start + row) * lda + col];
                pack_idx += 1;
            }
        }
    }

    // Handle remainder rows (pad with zeros)
    if remainder > 0 {
        let row_start = full_panels * MR;

        for col in 0..kc {
            for row in 0..MR {
                if row < remainder {
                    packed[pack_idx] = a[(row_start + row) * lda + col];
                } else {
                    packed[pack_idx] = 0.0; // Zero padding
                }
                pack_idx += 1;
            }
        }
    }
}

/// Pack B into KC x NC panel with NR-aligned micro-panels
///
/// Memory layout:
/// Original B (row-major):     Packed B (row-major micro-panels):
/// [b00 b01 b02 ...]           [b00 b01 ... b(NR-1) | b10 b11 ...]
/// [b10 b11 b12 ...]            \____ NR elements ____/
pub fn pack_b(
    b: &[f32],
    ldb: usize, // Leading dimension of B (number of columns in original)
    kc: usize,  // Number of rows to pack
    nc: usize,  // Number of columns to pack
    packed: &mut [f32],
) {
    let mut pack_idx = 0;

    let full_panels = nc / NR;
    let remainder = nc % NR;

    for panel in 0..full_panels {
        let col_start = panel * NR;

        for row in 0..kc {
            for col in 0..NR {
                packed[pack_idx] = b[row * ldb + col_start + col];
                pack_idx += 1;
            }
        }
    }

    // Handle remainder columns (pad with zeros)
    if remainder > 0 {
        let col_start = full_panels * NR;

        for row in 0..kc {
            for col in 0..NR {
                if col < remainder {
                    packed[pack_idx] = b[row * ldb + col_start + col];
                } else {
                    packed[pack_idx] = 0.0;
                }
                pack_idx += 1;
            }
        }
    }
}

/// Compute required packed A buffer size
#[inline]
pub fn packed_a_size(mc: usize, kc: usize) -> usize {
    let panels = (mc + MR - 1) / MR;
    panels * MR * kc
}

/// Compute required packed B buffer size
#[inline]
pub fn packed_b_size(kc: usize, nc: usize) -> usize {
    let panels = (nc + NR - 1) / NR;
    panels * NR * kc
}

/// Pack A block from row-major source.
/// Full MR=8 panels use AVX2 8×8 transpose when available (8× fewer scalar ops).
pub(super) fn pack_a_block(
    a: &[f32],
    lda: usize,
    row_start: usize,
    col_start: usize,
    rows: usize,
    cols: usize,
    packed: &mut [f32],
) {
    let panels = (rows + MR - 1) / MR;

    #[cfg(target_arch = "x86_64")]
    if is_x86_feature_detected!("avx2") {
        // SAFETY: AVX2 verified above
        unsafe {
            pack_a_block_avx2(a, lda, row_start, col_start, rows, cols, panels, packed);
        }
        return;
    }

    // Scalar fallback
    let mut pack_idx = 0;
    for panel in 0..panels {
        let ir = panel * MR;
        let mr_actual = MR.min(rows - ir);

        for col in 0..cols {
            for row in 0..MR {
                if row < mr_actual {
                    packed[pack_idx] = a[(row_start + ir + row) * lda + col_start + col];
                } else {
                    packed[pack_idx] = 0.0;
                }
                pack_idx += 1;
            }
        }
    }
}

/// AVX2 SIMD-accelerated A packing: 8×8 transpose blocks.
/// Processes 8 columns at a time using AVX2 unpack/shuffle/permute
/// to transpose 8×8 blocks from row-major to column-major in-register.
/// Reduces per-element cost from 1 scalar load + 1 scalar store to
/// ~0.25 SIMD ops per element (8× improvement).
#[cfg(target_arch = "x86_64")]
#[target_feature(enable = "avx2")]
unsafe fn pack_a_block_avx2(
    a: &[f32],
    lda: usize,
    row_start: usize,
    col_start: usize,
    rows: usize,
    cols: usize,
    panels: usize,
    packed: &mut [f32],
) {
    use std::arch::x86_64::*;

    let mut pack_idx = 0;

    for panel in 0..panels {
        let ir = panel * MR;
        let mr_actual = MR.min(rows - ir);

        if mr_actual == MR {
            // Full panel: 8×8 SIMD transpose blocks
            let k_blocks = cols / 8;
            let k_rem_start = k_blocks * 8;

            for kb in 0..k_blocks {
                let p = kb * 8;
                let base = row_start + ir;
                let col = col_start + p;

                // SAFETY: AVX2 verified by caller. Pointers are within bounds
                // (base+7 < row_start+rows, col+7 < col_start+cols).
                unsafe {
                    let r0 = _mm256_loadu_ps(a.as_ptr().add(base * lda + col));
                    let r1 = _mm256_loadu_ps(a.as_ptr().add((base + 1) * lda + col));
                    let r2 = _mm256_loadu_ps(a.as_ptr().add((base + 2) * lda + col));
                    let r3 = _mm256_loadu_ps(a.as_ptr().add((base + 3) * lda + col));
                    let r4 = _mm256_loadu_ps(a.as_ptr().add((base + 4) * lda + col));
                    let r5 = _mm256_loadu_ps(a.as_ptr().add((base + 5) * lda + col));
                    let r6 = _mm256_loadu_ps(a.as_ptr().add((base + 6) * lda + col));
                    let r7 = _mm256_loadu_ps(a.as_ptr().add((base + 7) * lda + col));

                    // 8×8 transpose via unpack + shuffle + permute2f128
                    let t0 = _mm256_unpacklo_ps(r0, r1);
                    let t1 = _mm256_unpackhi_ps(r0, r1);
                    let t2 = _mm256_unpacklo_ps(r2, r3);
                    let t3 = _mm256_unpackhi_ps(r2, r3);
                    let t4 = _mm256_unpacklo_ps(r4, r5);
                    let t5 = _mm256_unpackhi_ps(r4, r5);
                    let t6 = _mm256_unpacklo_ps(r6, r7);
                    let t7 = _mm256_unpackhi_ps(r6, r7);

                    let u0 = _mm256_shuffle_ps(t0, t2, 0x44);
                    let u1 = _mm256_shuffle_ps(t0, t2, 0xEE);
                    let u2 = _mm256_shuffle_ps(t1, t3, 0x44);
                    let u3 = _mm256_shuffle_ps(t1, t3, 0xEE);
                    let u4 = _mm256_shuffle_ps(t4, t6, 0x44);
                    let u5 = _mm256_shuffle_ps(t4, t6, 0xEE);
                    let u6 = _mm256_shuffle_ps(t5, t7, 0x44);
                    let u7 = _mm256_shuffle_ps(t5, t7, 0xEE);

                    let dst = packed.as_mut_ptr().add(pack_idx);
                    _mm256_storeu_ps(dst, _mm256_permute2f128_ps(u0, u4, 0x20));
                    _mm256_storeu_ps(dst.add(8), _mm256_permute2f128_ps(u1, u5, 0x20));
                    _mm256_storeu_ps(dst.add(16), _mm256_permute2f128_ps(u2, u6, 0x20));
                    _mm256_storeu_ps(dst.add(24), _mm256_permute2f128_ps(u3, u7, 0x20));
                    _mm256_storeu_ps(dst.add(32), _mm256_permute2f128_ps(u0, u4, 0x31));
                    _mm256_storeu_ps(dst.add(40), _mm256_permute2f128_ps(u1, u5, 0x31));
                    _mm256_storeu_ps(dst.add(48), _mm256_permute2f128_ps(u2, u6, 0x31));
                    _mm256_storeu_ps(dst.add(56), _mm256_permute2f128_ps(u3, u7, 0x31));
                }
                pack_idx += 64;
            }

            // Remainder columns: scalar
            for col in k_rem_start..cols {
                for row in 0..MR {
                    packed[pack_idx] = a[(row_start + ir + row) * lda + col_start + col];
                    pack_idx += 1;
                }
            }
        } else {
            // Edge panel: scalar with zero-pad
            for col in 0..cols {
                for row in 0..MR {
                    if row < mr_actual {
                        packed[pack_idx] = a[(row_start + ir + row) * lda + col_start + col];
                    } else {
                        packed[pack_idx] = 0.0;
                    }
                    pack_idx += 1;
                }
            }
        }
    }
}

/// Pack B block from row-major source
pub(super) fn pack_b_block(
    b: &[f32],
    ldb: usize,
    row_start: usize,
    col_start: usize,
    rows: usize,
    cols: usize,
    packed: &mut [f32],
) {
    let mut pack_idx = 0;
    let panels = (cols + NR - 1) / NR;

    for panel in 0..panels {
        let jr = panel * NR;
        let nr_actual = NR.min(cols - jr);

        for row in 0..rows {
            for col in 0..NR {
                if col < nr_actual {
                    packed[pack_idx] = b[(row_start + row) * ldb + col_start + jr + col];
                } else {
                    packed[pack_idx] = 0.0;
                }
                pack_idx += 1;
            }
        }
    }
}

// ============================================================================
// AVX-512 packing (MR=16, NR=8)
// ============================================================================

/// Compute required packed A buffer size for AVX-512
#[cfg(target_arch = "x86_64")]
#[inline]
pub fn packed_a_size_512(mc: usize, kc: usize) -> usize {
    let panels = (mc + MR_512 - 1) / MR_512;
    panels * MR_512 * kc
}

/// Compute required packed B buffer size for AVX-512
#[cfg(target_arch = "x86_64")]
#[inline]
pub fn packed_b_size_512(kc: usize, nc: usize) -> usize {
    let panels = (nc + NR_512 - 1) / NR_512;
    panels * NR_512 * kc
}

/// Pack A block with MR_512=16 micro-panels for AVX-512 microkernel.
/// A is row-major; packed A is column-major micro-panels of width MR_512=16.
/// Full panels (mr_actual == 16): SIMD gather from 16 rows via scalar
/// (gather is limited by row stride), but the inner loop is tight.
#[cfg(target_arch = "x86_64")]
#[allow(dead_code)] // Used by gemm_blis_avx512_packed (retained for AVX-512-only systems)
pub(super) fn pack_a_block_512(
    a: &[f32],
    lda: usize,
    row_start: usize,
    col_start: usize,
    rows: usize,
    cols: usize,
    packed: &mut [f32],
) {
    let mut pack_idx = 0;
    let panels = (rows + MR_512 - 1) / MR_512;

    for panel in 0..panels {
        let ir = panel * MR_512;
        let mr_actual = MR_512.min(rows - ir);

        if mr_actual == MR_512 {
            // Full panel: no zero-padding needed
            for col in 0..cols {
                for row in 0..MR_512 {
                    packed[pack_idx + row] = a[(row_start + ir + row) * lda + col_start + col];
                }
                pack_idx += MR_512;
            }
        } else {
            // Edge panel: zero-pad
            for col in 0..cols {
                for row in 0..mr_actual {
                    packed[pack_idx + row] = a[(row_start + ir + row) * lda + col_start + col];
                }
                for row in mr_actual..MR_512 {
                    packed[pack_idx + row] = 0.0;
                }
                pack_idx += MR_512;
            }
        }
    }
}

/// Pack B block with NR_512=8 micro-panels for AVX-512 microkernel.
/// B is row-major; each NR_512=8 column slice is contiguous → SIMD copy.
/// Uses AVX2 _mm256_loadu_ps / _mm256_storeu_ps for full panels (8 f32 = 32B).
#[cfg(target_arch = "x86_64")]
pub(super) fn pack_b_block_512(
    b: &[f32],
    ldb: usize,
    row_start: usize,
    col_start: usize,
    rows: usize,
    cols: usize,
    packed: &mut [f32],
) {
    let panels = (cols + NR_512 - 1) / NR_512;
    let use_simd = is_x86_feature_detected!("avx2");

    for panel in 0..panels {
        let jr = panel * NR_512;
        let nr_actual = NR_512.min(cols - jr);
        let dst_base = panel * NR_512 * rows;

        if nr_actual == NR_512 && use_simd {
            // Full panel: SIMD 8-wide copy per row
            // SAFETY: AVX2 verified above, src/dst aligned to f32.
            unsafe {
                use std::arch::x86_64::*;
                for row in 0..rows {
                    let src = b.as_ptr().add((row_start + row) * ldb + col_start + jr);
                    let dst = packed.as_mut_ptr().add(dst_base + row * NR_512);
                    _mm256_storeu_ps(dst, _mm256_loadu_ps(src));
                }
            }
        } else {
            // Edge panel or no SIMD: scalar with zero-pad
            let mut pack_idx = dst_base;
            for row in 0..rows {
                for col in 0..NR_512 {
                    if col < nr_actual {
                        packed[pack_idx] = b[(row_start + row) * ldb + col_start + jr + col];
                    } else {
                        packed[pack_idx] = 0.0;
                    }
                    pack_idx += 1;
                }
            }
        }
    }
}

// ============================================================================
// 32×6 Packing (Phase 4, Appendix D)
// ============================================================================

use super::{MR_512V2, NR_512V2};

/// Compute required packed A buffer size for 32×6 microkernel.
#[cfg(target_arch = "x86_64")]
#[inline]
#[allow(dead_code)] // Reserved for column-major 32×6 BLIS path
pub fn packed_a_size_v2(mc: usize, kc: usize) -> usize {
    let panels = (mc + MR_512V2 - 1) / MR_512V2;
    panels * MR_512V2 * kc
}

/// Compute required packed B buffer size for 32×6 microkernel.
#[cfg(target_arch = "x86_64")]
#[inline]
#[allow(dead_code)] // Reserved for column-major 32×6 BLIS path
pub fn packed_b_size_v2(kc: usize, nc: usize) -> usize {
    let panels = (nc + NR_512V2 - 1) / NR_512V2;
    panels * NR_512V2 * kc
}

/// Pack A block with MR_512V2=32 micro-panels for 32×6 microkernel.
#[cfg(target_arch = "x86_64")]
#[allow(dead_code)] // Reserved for column-major 32×6 BLIS path
pub(super) fn pack_a_block_v2(
    a: &[f32],
    lda: usize,
    row_start: usize,
    col_start: usize,
    rows: usize,
    cols: usize,
    packed: &mut [f32],
) {
    let mut pack_idx = 0;
    let panels = (rows + MR_512V2 - 1) / MR_512V2;

    for panel in 0..panels {
        let ir = panel * MR_512V2;
        let mr_actual = MR_512V2.min(rows - ir);

        for col in 0..cols {
            for row in 0..mr_actual {
                packed[pack_idx + row] = a[(row_start + ir + row) * lda + col_start + col];
            }
            for row in mr_actual..MR_512V2 {
                packed[pack_idx + row] = 0.0;
            }
            pack_idx += MR_512V2;
        }
    }
}

/// Pack B block with NR_512V2=6 micro-panels for 32×6 microkernel.
#[cfg(target_arch = "x86_64")]
#[allow(dead_code)] // Reserved for column-major 32×6 BLIS path
pub(super) fn pack_b_block_v2(
    b: &[f32],
    ldb: usize,
    row_start: usize,
    col_start: usize,
    rows: usize,
    cols: usize,
    packed: &mut [f32],
) {
    let panels = (cols + NR_512V2 - 1) / NR_512V2;

    for panel in 0..panels {
        let jr = panel * NR_512V2;
        let nr_actual = NR_512V2.min(cols - jr);
        let dst_base = panel * NR_512V2 * rows;

        for row in 0..rows {
            let pack_idx = dst_base + row * NR_512V2;
            for col in 0..nr_actual {
                packed[pack_idx + col] = b[(row_start + row) * ldb + col_start + jr + col];
            }
            for col in nr_actual..NR_512V2 {
                packed[pack_idx + col] = 0.0;
            }
        }
    }
}