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
|
#include <float.h>
#include <stdbool.h>
#define IS_X86_64 (defined(__x86_64__) || defined(_M_X64))
#if IS_X86_64
#include <immintrin.h>
#ifdef _MSC_VER
#include <intrin.h> // MSVC
#else
#include <cpuid.h> // GCC and Clang
#endif
#ifndef bit_AVX512F
#define bit_AVX512F (1 << 16)
#endif
#endif
typedef struct {
float min_val;
float max_val;
} minmax_result_float32;
typedef struct {
int16_t min_val;
int16_t max_val;
} minmax_result_int16;
typedef unsigned char Byte;
#if IS_X86_64
bool system_supports_avx512() {
unsigned int eax, ebx, ecx, edx;
// EAX=7, ECX=0: Extended Features
#ifdef _MSC_VER
// MSVC
int cpuInfo[4];
__cpuid(cpuInfo, 7);
ebx = cpuInfo[1];
#else
// GCC, Clang
__cpuid(7, eax, ebx, ecx, edx);
#endif
// Check the AVX512F bit in EBX
return (ebx & bit_AVX512F) != 0;
}
#endif
static inline minmax_result_int16 minmax_pairwise_int16(const int16_t *a, size_t length) {
minmax_result_int16 result = {.min_val = a[length -1], .max_val = a[length-1]};
for (size_t i = 0; i < length - 1; i += 2) {
int16_t smaller = a[i] < a[i + 1] ? a[i] : a[i + 1];
int16_t larger = a[i] < a[i + 1] ? a[i + 1] : a[i];
if (smaller < result.min_val) {
result.min_val = smaller;
}
if (larger > result.max_val) {
result.max_val = larger;
}
}
return result;
}
static inline minmax_result_float32 minmax_pairwise_float32(const float *a, size_t length) {
// Initialize min and max with the last element of the array.
// This ensures that it works correctly for odd length arrays as well as even.
minmax_result_float32 result = {.min_val = a[length -1], .max_val = a[length-1]};
// Process elements in pairs
for (size_t i = 0; i < length - 1; i += 2) {
float smaller = a[i] < a[i + 1] ? a[i] : a[i + 1];
float larger = a[i] < a[i + 1] ? a[i + 1] : a[i];
if (smaller < result.min_val) {
result.min_val = smaller;
}
if (larger > result.max_val) {
result.max_val = larger;
}
}
return result;
}
#if IS_X86_64
static inline minmax_result_int16 reduce_result_from_mm256i_int16(__m256i min_vals, __m256i max_vals, minmax_result_int16 result) {
int16_t temp_min[16], temp_max[16];
_mm256_storeu_si256((__m256i*)temp_min, min_vals);
_mm256_storeu_si256((__m256i*)temp_max, max_vals);
for (size_t i = 0; i < 16; ++i) {
if (temp_min[i] < result.min_val) result.min_val = temp_min[i];
if (temp_max[i] > result.max_val) result.max_val = temp_max[i];
}
return result;
}
static inline minmax_result_float32 reduce_result_from_mm256_float32(__m256 min_vals, __m256 max_vals, minmax_result_float32 result) {
float temp_min[8], temp_max[8];
_mm256_storeu_ps(temp_min, min_vals);
_mm256_storeu_ps(temp_max, max_vals);
for (size_t i = 0; i < 8; ++i) {
if (temp_min[i] < result.min_val) result.min_val = temp_min[i];
if (temp_max[i] > result.max_val) result.max_val = temp_max[i];
}
return result;
}
minmax_result_int16 minmax_avx_int16(const int16_t *a, size_t length) {
minmax_result_int16 result = { .min_val = INT16_MAX, .max_val = INT16_MIN };
__m256i min_vals = _mm256_loadu_si256((__m256i*)a);
__m256i max_vals = min_vals;
// Process elements in chunks of 16 (256 bits / 16 bits per int16_t)
size_t i = 16;
for (; i <= length - 16; i += 16) {
__m256i vals = _mm256_loadu_si256((__m256i*)(a + i));
min_vals = _mm256_min_epi16(min_vals, vals);
max_vals = _mm256_max_epi16(max_vals, vals);
}
// Process remainder elements
if (i < length) {
result = minmax_pairwise_int16(a + i, length - i);
}
return reduce_result_from_mm256i_int16(min_vals, max_vals, result);
}
minmax_result_float32 minmax_avx_float32(const float *a, size_t length) {
minmax_result_float32 result = { .min_val = FLT_MAX, .max_val = -FLT_MAX };
__m256 min_vals = _mm256_loadu_ps(a);
__m256 max_vals = min_vals;
// Process elements in chunks of eight
size_t i = 8;
for (; i <= length - 8; i += 8) {
__m256 vals = _mm256_loadu_ps(a + i);
min_vals = _mm256_min_ps(min_vals, vals);
max_vals = _mm256_max_ps(max_vals, vals);
}
// Process remainder elements
if (i < length) {
result = minmax_pairwise_float32(a + i, length - i);
}
return reduce_result_from_mm256_float32(min_vals, max_vals, result);
}
__attribute__((target("avx512f"))) static inline minmax_result_float32 reduce_result_from_mm512_float32(__m512 min_vals, __m512 max_vals, minmax_result_float32 result) {
float temp_min[16], temp_max[16];
_mm512_storeu_ps(temp_min, min_vals);
_mm512_storeu_ps(temp_max, max_vals);
for (size_t i = 0; i < 16; ++i) {
if (temp_min[i] < result.min_val) result.min_val = temp_min[i];
if (temp_max[i] > result.max_val) result.max_val = temp_max[i];
}
return result;
}
__attribute__((target("avx512f"))) minmax_result_float32 minmax_avx512_float32(const float *a, size_t length) {
minmax_result_float32 result = { .min_val = FLT_MAX, .max_val = -FLT_MAX };
__m512 min_vals = _mm512_loadu_ps(a);
__m512 max_vals = min_vals;
// Process elements in chunks of sixteen
size_t i = 16;
for (; i <= length - 16; i += 16) {
__m512 vals = _mm512_loadu_ps(a + i);
min_vals = _mm512_min_ps(min_vals, vals);
max_vals = _mm512_max_ps(max_vals, vals);
}
// Process remainder elements
if (i < length) {
result = minmax_pairwise_float32(a + i, length - i);
}
return reduce_result_from_mm512_float32(min_vals, max_vals, result);
}
#endif
minmax_result_int16 minmax_contiguous_int16(const int16_t *a, size_t length) {
// Return early for empty arrays
if (length == 0) {
return (minmax_result_int16){0, 0};
}
#if IS_X86_64
if (length >= 16) {
// TODO: Consider adding AVX512 support
return minmax_avx_int16(a, length);
} else {
return minmax_pairwise_int16(a, length);
}
#else
return minmax_pairwise_int16(a, length);
#endif
}
minmax_result_float32 minmax_contiguous_float32(const float *a, size_t length) {
// Return early for empty arrays
if (length == 0) {
return (minmax_result_float32){0.0, 0.0};
}
#if IS_X86_64
if (length >= 16) {
if (system_supports_avx512()) {
return minmax_avx512_float32(a, length);
} else {
return minmax_avx_float32(a, length);
}
} else {
return minmax_pairwise_float32(a, length);
}
#else
return minmax_pairwise_float32(a, length);
#endif
}
// Takes the pairwise min/max on strided input. Strides are in number of bytes,
// which is why the data pointer is Byte (i.e. unsigned char)
minmax_result_float32 minmax_pairwise_strided_float32(const Byte *a, size_t length, long stride) {
minmax_result_float32 result;
// Initialize min and max with the last element of the array.
// This ensures that it works correctly for odd length arrays as well as even.
result.min_val = *(float*)(a + (length -1)*stride);
result.max_val = result.min_val;
// Process elements in pairs
float smaller;
float larger;
for (size_t i = 0; i < (length - 1)*stride; i += 2*stride) {
if (*(float*)(a + i) < *(float*)(a + i + stride)) {
smaller = *(float*)(a + i);
larger = *(float*)(a + i + stride);
} else {
smaller = *(float*)(a + i + stride);
larger = *(float*)(a + i);
}
if (smaller < result.min_val) {
result.min_val = smaller;
}
if (larger > result.max_val) {
result.max_val = larger;
}
}
return result;
}
#if IS_X86_64
// Takes the avx min/max on strided input. Strides are in number of bytes,
// which is why the data pointer is Byte (i.e. unsigned char)
minmax_result_float32 minmax_avx_strided_float32(const Byte *a, size_t length, long stride) {
minmax_result_float32 result = { .min_val = FLT_MAX, .max_val = -FLT_MAX };
// This is faster than intrinsic gather on tested platforms
__m256 min_vals = _mm256_set_ps(
*(float*)(a),
*(float*)(a + stride),
*(float*)(a + 2*stride),
*(float*)(a + 3*stride),
*(float*)(a + 4*stride),
*(float*)(a + 5*stride),
*(float*)(a + 6*stride),
*(float*)(a + 7*stride)
);
__m256 max_vals = min_vals;
// Process elements in chunks of eight
size_t i = 8*stride;
for (; i <= (length - 8)*stride; i += 8*stride) {
__m256 vals = _mm256_set_ps(
*(float*)(a + i),
*(float*)(a + i + stride),
*(float*)(a + i + 2*stride),
*(float*)(a + i + 3*stride),
*(float*)(a + i + 4*stride),
*(float*)(a + i + 5*stride),
*(float*)(a + i + 6*stride),
*(float*)(a + i + 7*stride)
);
min_vals = _mm256_min_ps(min_vals, vals);
max_vals = _mm256_max_ps(max_vals, vals);
}
// Process remainder elements
if (i < length*stride){
result = minmax_pairwise_strided_float32(a + i, length - i / stride, stride);
}
return reduce_result_from_mm256_float32(min_vals, max_vals, result);
}
#endif
minmax_result_float32 minmax_1d_strided_float32(const float *a, size_t length, long stride) {
// Return early for empty arrays
if (length == 0) {
return (minmax_result_float32){0.0, 0.0};
}
if (stride < 0){
if (-stride == sizeof(float)){
return minmax_contiguous_float32(a - length + 1, length);
}
return minmax_pairwise_strided_float32((Byte*)(a) + (length - 1)*stride, length, -stride);
}
#if IS_X86_64
if (length < 16){
return minmax_pairwise_strided_float32((Byte*)a, length, stride);
}
return minmax_avx_strided_float32((Byte*)a, length, stride);
#else
return minmax_pairwise_strided_float32((Byte*)a, length, stride);
#endif
}
|