| 1 | #ifndef SIMDJSON_ARM64_SIMD_H |
| 2 | #define SIMDJSON_ARM64_SIMD_H |
| 3 | |
| 4 | #include "simdjson/base.h" |
| 5 | #include "simdjson/internal/simdprune_tables.h" |
| 6 | #include "simdjson/arm64/bitmanipulation.h" |
| 7 | #include <type_traits> |
| 8 | |
| 9 | |
| 10 | namespace simdjson { |
| 11 | namespace SIMDJSON_IMPLEMENTATION { |
| 12 | namespace { |
| 13 | namespace simd { |
| 14 | |
| 15 | #ifdef SIMDJSON_REGULAR_VISUAL_STUDIO |
| 16 | namespace { |
| 17 | // Start of private section with Visual Studio workaround |
| 18 | |
| 19 | |
| 20 | /** |
| 21 | * make_uint8x16_t initializes a SIMD register (uint8x16_t). |
| 22 | * This is needed because, incredibly, the syntax uint8x16_t x = {1,2,3...} |
| 23 | * is not recognized under Visual Studio! This is a workaround. |
| 24 | * Using a std::initializer_list<uint8_t> as a parameter resulted in |
| 25 | * inefficient code. With the current approach, if the parameters are |
| 26 | * compile-time constants, |
| 27 | * GNU GCC compiles it to ldr, the same as uint8x16_t x = {1,2,3...}. |
| 28 | * You should not use this function except for compile-time constants: |
| 29 | * it is not efficient. |
| 30 | */ |
| 31 | simdjson_inline uint8x16_t make_uint8x16_t(uint8_t x1, uint8_t x2, uint8_t x3, uint8_t x4, |
| 32 | uint8_t x5, uint8_t x6, uint8_t x7, uint8_t x8, |
| 33 | uint8_t x9, uint8_t x10, uint8_t x11, uint8_t x12, |
| 34 | uint8_t x13, uint8_t x14, uint8_t x15, uint8_t x16) { |
| 35 | // Doing a load like so end ups generating worse code. |
| 36 | // uint8_t array[16] = {x1, x2, x3, x4, x5, x6, x7, x8, |
| 37 | // x9, x10,x11,x12,x13,x14,x15,x16}; |
| 38 | // return vld1q_u8(array); |
| 39 | uint8x16_t x{}; |
| 40 | // incredibly, Visual Studio does not allow x[0] = x1 |
| 41 | x = vsetq_lane_u8(x1, x, 0); |
| 42 | x = vsetq_lane_u8(x2, x, 1); |
| 43 | x = vsetq_lane_u8(x3, x, 2); |
| 44 | x = vsetq_lane_u8(x4, x, 3); |
| 45 | x = vsetq_lane_u8(x5, x, 4); |
| 46 | x = vsetq_lane_u8(x6, x, 5); |
| 47 | x = vsetq_lane_u8(x7, x, 6); |
| 48 | x = vsetq_lane_u8(x8, x, 7); |
| 49 | x = vsetq_lane_u8(x9, x, 8); |
| 50 | x = vsetq_lane_u8(x10, x, 9); |
| 51 | x = vsetq_lane_u8(x11, x, 10); |
| 52 | x = vsetq_lane_u8(x12, x, 11); |
| 53 | x = vsetq_lane_u8(x13, x, 12); |
| 54 | x = vsetq_lane_u8(x14, x, 13); |
| 55 | x = vsetq_lane_u8(x15, x, 14); |
| 56 | x = vsetq_lane_u8(x16, x, 15); |
| 57 | return x; |
| 58 | } |
| 59 | |
| 60 | simdjson_inline uint8x8_t make_uint8x8_t(uint8_t x1, uint8_t x2, uint8_t x3, uint8_t x4, |
| 61 | uint8_t x5, uint8_t x6, uint8_t x7, uint8_t x8) { |
| 62 | uint8x8_t x{}; |
| 63 | x = vset_lane_u8(x1, x, 0); |
| 64 | x = vset_lane_u8(x2, x, 1); |
| 65 | x = vset_lane_u8(x3, x, 2); |
| 66 | x = vset_lane_u8(x4, x, 3); |
| 67 | x = vset_lane_u8(x5, x, 4); |
| 68 | x = vset_lane_u8(x6, x, 5); |
| 69 | x = vset_lane_u8(x7, x, 6); |
| 70 | x = vset_lane_u8(x8, x, 7); |
| 71 | return x; |
| 72 | } |
| 73 | |
| 74 | // We have to do the same work for make_int8x16_t |
| 75 | simdjson_inline int8x16_t make_int8x16_t(int8_t x1, int8_t x2, int8_t x3, int8_t x4, |
| 76 | int8_t x5, int8_t x6, int8_t x7, int8_t x8, |
| 77 | int8_t x9, int8_t x10, int8_t x11, int8_t x12, |
| 78 | int8_t x13, int8_t x14, int8_t x15, int8_t x16) { |
| 79 | // Doing a load like so end ups generating worse code. |
| 80 | // int8_t array[16] = {x1, x2, x3, x4, x5, x6, x7, x8, |
| 81 | // x9, x10,x11,x12,x13,x14,x15,x16}; |
| 82 | // return vld1q_s8(array); |
| 83 | int8x16_t x{}; |
| 84 | // incredibly, Visual Studio does not allow x[0] = x1 |
| 85 | x = vsetq_lane_s8(x1, x, 0); |
| 86 | x = vsetq_lane_s8(x2, x, 1); |
| 87 | x = vsetq_lane_s8(x3, x, 2); |
| 88 | x = vsetq_lane_s8(x4, x, 3); |
| 89 | x = vsetq_lane_s8(x5, x, 4); |
| 90 | x = vsetq_lane_s8(x6, x, 5); |
| 91 | x = vsetq_lane_s8(x7, x, 6); |
| 92 | x = vsetq_lane_s8(x8, x, 7); |
| 93 | x = vsetq_lane_s8(x9, x, 8); |
| 94 | x = vsetq_lane_s8(x10, x, 9); |
| 95 | x = vsetq_lane_s8(x11, x, 10); |
| 96 | x = vsetq_lane_s8(x12, x, 11); |
| 97 | x = vsetq_lane_s8(x13, x, 12); |
| 98 | x = vsetq_lane_s8(x14, x, 13); |
| 99 | x = vsetq_lane_s8(x15, x, 14); |
| 100 | x = vsetq_lane_s8(x16, x, 15); |
| 101 | return x; |
| 102 | } |
| 103 | |
| 104 | // End of private section with Visual Studio workaround |
| 105 | } // namespace |
| 106 | #endif // SIMDJSON_REGULAR_VISUAL_STUDIO |
| 107 | |
| 108 | |
| 109 | template<typename T> |
| 110 | struct simd8; |
| 111 | |
| 112 | // |
| 113 | // Base class of simd8<uint8_t> and simd8<bool>, both of which use uint8x16_t internally. |
| 114 | // |
| 115 | template<typename T, typename Mask=simd8<bool>> |
| 116 | struct base_u8 { |
| 117 | uint8x16_t value; |
| 118 | static const int SIZE = sizeof(value); |
| 119 | |
| 120 | // Conversion from/to SIMD register |
| 121 | simdjson_inline base_u8(const uint8x16_t _value) : value(_value) {} |
| 122 | simdjson_inline operator const uint8x16_t&() const { return this->value; } |
| 123 | simdjson_inline operator uint8x16_t&() { return this->value; } |
| 124 | |
| 125 | // Bit operations |
| 126 | simdjson_inline simd8<T> operator|(const simd8<T> other) const { return vorrq_u8(*this, other); } |
| 127 | simdjson_inline simd8<T> operator&(const simd8<T> other) const { return vandq_u8(*this, other); } |
| 128 | simdjson_inline simd8<T> operator^(const simd8<T> other) const { return veorq_u8(*this, other); } |
| 129 | simdjson_inline simd8<T> bit_andnot(const simd8<T> other) const { return vbicq_u8(*this, other); } |
| 130 | simdjson_inline simd8<T> operator~() const { return *this ^ 0xFFu; } |
| 131 | simdjson_inline simd8<T>& operator|=(const simd8<T> other) { auto this_cast = static_cast<simd8<T>*>(this); *this_cast = *this_cast | other; return *this_cast; } |
| 132 | simdjson_inline simd8<T>& operator&=(const simd8<T> other) { auto this_cast = static_cast<simd8<T>*>(this); *this_cast = *this_cast & other; return *this_cast; } |
| 133 | simdjson_inline simd8<T>& operator^=(const simd8<T> other) { auto this_cast = static_cast<simd8<T>*>(this); *this_cast = *this_cast ^ other; return *this_cast; } |
| 134 | |
| 135 | friend simdjson_inline Mask operator==(const simd8<T> lhs, const simd8<T> rhs) { return vceqq_u8(lhs, rhs); } |
| 136 | |
| 137 | template<int N=1> |
| 138 | simdjson_inline simd8<T> prev(const simd8<T> prev_chunk) const { |
| 139 | return vextq_u8(prev_chunk, *this, 16 - N); |
| 140 | } |
| 141 | }; |
| 142 | |
| 143 | // SIMD byte mask type (returned by things like eq and gt) |
| 144 | template<> |
| 145 | struct simd8<bool>: base_u8<bool> { |
| 146 | typedef uint16_t bitmask_t; |
| 147 | typedef uint32_t bitmask2_t; |
| 148 | |
| 149 | static simdjson_inline simd8<bool> splat(bool _value) { return vmovq_n_u8(p0: uint8_t(-(!!_value))); } |
| 150 | |
| 151 | simdjson_inline simd8(const uint8x16_t _value) : base_u8<bool>(_value) {} |
| 152 | // False constructor |
| 153 | simdjson_inline simd8() : simd8(vdupq_n_u8(p0: 0)) {} |
| 154 | // Splat constructor |
| 155 | simdjson_inline simd8(bool _value) : simd8(splat(_value)) {} |
| 156 | |
| 157 | // We return uint32_t instead of uint16_t because that seems to be more efficient for most |
| 158 | // purposes (cutting it down to uint16_t costs performance in some compilers). |
| 159 | simdjson_inline uint32_t to_bitmask() const { |
| 160 | #ifdef SIMDJSON_REGULAR_VISUAL_STUDIO |
| 161 | const uint8x16_t bit_mask = make_uint8x16_t(0x01, 0x02, 0x4, 0x8, 0x10, 0x20, 0x40, 0x80, |
| 162 | 0x01, 0x02, 0x4, 0x8, 0x10, 0x20, 0x40, 0x80); |
| 163 | #else |
| 164 | const uint8x16_t bit_mask = {0x01, 0x02, 0x4, 0x8, 0x10, 0x20, 0x40, 0x80, |
| 165 | 0x01, 0x02, 0x4, 0x8, 0x10, 0x20, 0x40, 0x80}; |
| 166 | #endif |
| 167 | auto minput = *this & bit_mask; |
| 168 | uint8x16_t tmp = vpaddq_u8(p0: minput, p1: minput); |
| 169 | tmp = vpaddq_u8(p0: tmp, p1: tmp); |
| 170 | tmp = vpaddq_u8(p0: tmp, p1: tmp); |
| 171 | return vgetq_lane_u16(vreinterpretq_u16_u8(tmp), 0); |
| 172 | } |
| 173 | simdjson_inline bool any() const { return vmaxvq_u8(p0: *this) != 0; } |
| 174 | }; |
| 175 | |
| 176 | // Unsigned bytes |
| 177 | template<> |
| 178 | struct simd8<uint8_t>: base_u8<uint8_t> { |
| 179 | static simdjson_inline uint8x16_t splat(uint8_t _value) { return vmovq_n_u8(p0: _value); } |
| 180 | static simdjson_inline uint8x16_t zero() { return vdupq_n_u8(p0: 0); } |
| 181 | static simdjson_inline uint8x16_t load(const uint8_t* values) { return vld1q_u8(values); } |
| 182 | |
| 183 | simdjson_inline simd8(const uint8x16_t _value) : base_u8<uint8_t>(_value) {} |
| 184 | // Zero constructor |
| 185 | simdjson_inline simd8() : simd8(zero()) {} |
| 186 | // Array constructor |
| 187 | simdjson_inline simd8(const uint8_t values[16]) : simd8(load(values)) {} |
| 188 | // Splat constructor |
| 189 | simdjson_inline simd8(uint8_t _value) : simd8(splat(_value)) {} |
| 190 | // Member-by-member initialization |
| 191 | #ifdef SIMDJSON_REGULAR_VISUAL_STUDIO |
| 192 | simdjson_inline simd8( |
| 193 | uint8_t v0, uint8_t v1, uint8_t v2, uint8_t v3, uint8_t v4, uint8_t v5, uint8_t v6, uint8_t v7, |
| 194 | uint8_t v8, uint8_t v9, uint8_t v10, uint8_t v11, uint8_t v12, uint8_t v13, uint8_t v14, uint8_t v15 |
| 195 | ) : simd8(make_uint8x16_t( |
| 196 | v0, v1, v2, v3, v4, v5, v6, v7, |
| 197 | v8, v9, v10,v11,v12,v13,v14,v15 |
| 198 | )) {} |
| 199 | #else |
| 200 | simdjson_inline simd8( |
| 201 | uint8_t v0, uint8_t v1, uint8_t v2, uint8_t v3, uint8_t v4, uint8_t v5, uint8_t v6, uint8_t v7, |
| 202 | uint8_t v8, uint8_t v9, uint8_t v10, uint8_t v11, uint8_t v12, uint8_t v13, uint8_t v14, uint8_t v15 |
| 203 | ) : simd8(uint8x16_t{ |
| 204 | v0, v1, v2, v3, v4, v5, v6, v7, |
| 205 | v8, v9, v10,v11,v12,v13,v14,v15 |
| 206 | }) {} |
| 207 | #endif |
| 208 | |
| 209 | // Repeat 16 values as many times as necessary (usually for lookup tables) |
| 210 | simdjson_inline static simd8<uint8_t> repeat_16( |
| 211 | uint8_t v0, uint8_t v1, uint8_t v2, uint8_t v3, uint8_t v4, uint8_t v5, uint8_t v6, uint8_t v7, |
| 212 | uint8_t v8, uint8_t v9, uint8_t v10, uint8_t v11, uint8_t v12, uint8_t v13, uint8_t v14, uint8_t v15 |
| 213 | ) { |
| 214 | return simd8<uint8_t>( |
| 215 | v0, v1, v2, v3, v4, v5, v6, v7, |
| 216 | v8, v9, v10,v11,v12,v13,v14,v15 |
| 217 | ); |
| 218 | } |
| 219 | |
| 220 | // Store to array |
| 221 | simdjson_inline void store(uint8_t dst[16]) const { return vst1q_u8(dst, *this); } |
| 222 | |
| 223 | // Saturated math |
| 224 | simdjson_inline simd8<uint8_t> saturating_add(const simd8<uint8_t> other) const { return vqaddq_u8(p0: *this, p1: other); } |
| 225 | simdjson_inline simd8<uint8_t> saturating_sub(const simd8<uint8_t> other) const { return vqsubq_u8(p0: *this, p1: other); } |
| 226 | |
| 227 | // Addition/subtraction are the same for signed and unsigned |
| 228 | simdjson_inline simd8<uint8_t> operator+(const simd8<uint8_t> other) const { return vaddq_u8(p0: *this, p1: other); } |
| 229 | simdjson_inline simd8<uint8_t> operator-(const simd8<uint8_t> other) const { return vsubq_u8(p0: *this, p1: other); } |
| 230 | simdjson_inline simd8<uint8_t>& operator+=(const simd8<uint8_t> other) { *this = *this + other; return *this; } |
| 231 | simdjson_inline simd8<uint8_t>& operator-=(const simd8<uint8_t> other) { *this = *this - other; return *this; } |
| 232 | |
| 233 | // Order-specific operations |
| 234 | simdjson_inline uint8_t max_val() const { return vmaxvq_u8(p0: *this); } |
| 235 | simdjson_inline uint8_t min_val() const { return vminvq_u8(p0: *this); } |
| 236 | simdjson_inline simd8<uint8_t> max_val(const simd8<uint8_t> other) const { return vmaxq_u8(p0: *this, p1: other); } |
| 237 | simdjson_inline simd8<uint8_t> min_val(const simd8<uint8_t> other) const { return vminq_u8(p0: *this, p1: other); } |
| 238 | simdjson_inline simd8<bool> operator<=(const simd8<uint8_t> other) const { return vcleq_u8(p0: *this, p1: other); } |
| 239 | simdjson_inline simd8<bool> operator>=(const simd8<uint8_t> other) const { return vcgeq_u8(p0: *this, p1: other); } |
| 240 | simdjson_inline simd8<bool> operator<(const simd8<uint8_t> other) const { return vcltq_u8(p0: *this, p1: other); } |
| 241 | simdjson_inline simd8<bool> operator>(const simd8<uint8_t> other) const { return vcgtq_u8(p0: *this, p1: other); } |
| 242 | // Same as >, but instead of guaranteeing all 1's == true, false = 0 and true = nonzero. For ARM, returns all 1's. |
| 243 | simdjson_inline simd8<uint8_t> gt_bits(const simd8<uint8_t> other) const { return simd8<uint8_t>(*this > other); } |
| 244 | // Same as <, but instead of guaranteeing all 1's == true, false = 0 and true = nonzero. For ARM, returns all 1's. |
| 245 | simdjson_inline simd8<uint8_t> lt_bits(const simd8<uint8_t> other) const { return simd8<uint8_t>(*this < other); } |
| 246 | |
| 247 | // Bit-specific operations |
| 248 | simdjson_inline simd8<bool> any_bits_set(simd8<uint8_t> bits) const { return vtstq_u8(p0: *this, p1: bits); } |
| 249 | simdjson_inline bool any_bits_set_anywhere() const { return this->max_val() != 0; } |
| 250 | simdjson_inline bool any_bits_set_anywhere(simd8<uint8_t> bits) const { return (*this & bits).any_bits_set_anywhere(); } |
| 251 | template<int N> |
| 252 | simdjson_inline simd8<uint8_t> shr() const { return vshrq_n_u8(*this, N); } |
| 253 | template<int N> |
| 254 | simdjson_inline simd8<uint8_t> shl() const { return vshlq_n_u8(*this, N); } |
| 255 | |
| 256 | // Perform a lookup assuming the value is between 0 and 16 (undefined behavior for out of range values) |
| 257 | template<typename L> |
| 258 | simdjson_inline simd8<L> lookup_16(simd8<L> lookup_table) const { |
| 259 | return lookup_table.apply_lookup_16_to(*this); |
| 260 | } |
| 261 | |
| 262 | |
| 263 | // Copies to 'output" all bytes corresponding to a 0 in the mask (interpreted as a bitset). |
| 264 | // Passing a 0 value for mask would be equivalent to writing out every byte to output. |
| 265 | // Only the first 16 - count_ones(mask) bytes of the result are significant but 16 bytes |
| 266 | // get written. |
| 267 | // Design consideration: it seems like a function with the |
| 268 | // signature simd8<L> compress(uint16_t mask) would be |
| 269 | // sensible, but the AVX ISA makes this kind of approach difficult. |
| 270 | template<typename L> |
| 271 | simdjson_inline void compress(uint16_t mask, L * output) const { |
| 272 | using internal::thintable_epi8; |
| 273 | using internal::BitsSetTable256mul2; |
| 274 | using internal::pshufb_combine_table; |
| 275 | // this particular implementation was inspired by work done by @animetosho |
| 276 | // we do it in two steps, first 8 bytes and then second 8 bytes |
| 277 | uint8_t mask1 = uint8_t(mask); // least significant 8 bits |
| 278 | uint8_t mask2 = uint8_t(mask >> 8); // most significant 8 bits |
| 279 | // next line just loads the 64-bit values thintable_epi8[mask1] and |
| 280 | // thintable_epi8[mask2] into a 128-bit register, using only |
| 281 | // two instructions on most compilers. |
| 282 | uint64x2_t shufmask64 = {thintable_epi8[mask1], thintable_epi8[mask2]}; |
| 283 | uint8x16_t shufmask = vreinterpretq_u8_u64(p0: shufmask64); |
| 284 | // we increment by 0x08 the second half of the mask |
| 285 | #ifdef SIMDJSON_REGULAR_VISUAL_STUDIO |
| 286 | uint8x16_t inc = make_uint8x16_t(0, 0, 0, 0, 0, 0, 0, 0, 0x08, 0x08, 0x08, 0x08, 0x08, 0x08, 0x08, 0x08); |
| 287 | #else |
| 288 | uint8x16_t inc = {0, 0, 0, 0, 0, 0, 0, 0, 0x08, 0x08, 0x08, 0x08, 0x08, 0x08, 0x08, 0x08}; |
| 289 | #endif |
| 290 | shufmask = vaddq_u8(p0: shufmask, p1: inc); |
| 291 | // this is the version "nearly pruned" |
| 292 | uint8x16_t pruned = vqtbl1q_u8(p0: *this, p1: shufmask); |
| 293 | // we still need to put the two halves together. |
| 294 | // we compute the popcount of the first half: |
| 295 | int pop1 = BitsSetTable256mul2[mask1]; |
| 296 | // then load the corresponding mask, what it does is to write |
| 297 | // only the first pop1 bytes from the first 8 bytes, and then |
| 298 | // it fills in with the bytes from the second 8 bytes + some filling |
| 299 | // at the end. |
| 300 | uint8x16_t compactmask = vld1q_u8(reinterpret_cast<const uint8_t *>(pshufb_combine_table + pop1 * 8)); |
| 301 | uint8x16_t answer = vqtbl1q_u8(p0: pruned, p1: compactmask); |
| 302 | vst1q_u8(reinterpret_cast<uint8_t*>(output), answer); |
| 303 | } |
| 304 | |
| 305 | // Copies all bytes corresponding to a 0 in the low half of the mask (interpreted as a |
| 306 | // bitset) to output1, then those corresponding to a 0 in the high half to output2. |
| 307 | template<typename L> |
| 308 | simdjson_inline void compress_halves(uint16_t mask, L *output1, L *output2) const { |
| 309 | using internal::thintable_epi8; |
| 310 | uint8_t mask1 = uint8_t(mask); // least significant 8 bits |
| 311 | uint8_t mask2 = uint8_t(mask >> 8); // most significant 8 bits |
| 312 | uint8x8_t compactmask1 = vcreate_u8(thintable_epi8[mask1]); |
| 313 | uint8x8_t compactmask2 = vcreate_u8(thintable_epi8[mask2]); |
| 314 | // we increment by 0x08 the second half of the mask |
| 315 | #ifdef SIMDJSON_REGULAR_VISUAL_STUDIO |
| 316 | uint8x8_t inc = make_uint8x8_t(0x08, 0x08, 0x08, 0x08, 0x08, 0x08, 0x08, 0x08); |
| 317 | #else |
| 318 | uint8x8_t inc = {0x08, 0x08, 0x08, 0x08, 0x08, 0x08, 0x08, 0x08}; |
| 319 | #endif |
| 320 | compactmask2 = vadd_u8(p0: compactmask2, p1: inc); |
| 321 | // store each result (with the second store possibly overlapping the first) |
| 322 | vst1_u8((uint8_t*)output1, vqtbl1_u8(*this, compactmask1)); |
| 323 | vst1_u8((uint8_t*)output2, vqtbl1_u8(*this, compactmask2)); |
| 324 | } |
| 325 | |
| 326 | template<typename L> |
| 327 | simdjson_inline simd8<L> lookup_16( |
| 328 | L replace0, L replace1, L replace2, L replace3, |
| 329 | L replace4, L replace5, L replace6, L replace7, |
| 330 | L replace8, L replace9, L replace10, L replace11, |
| 331 | L replace12, L replace13, L replace14, L replace15) const { |
| 332 | return lookup_16(simd8<L>::repeat_16( |
| 333 | replace0, replace1, replace2, replace3, |
| 334 | replace4, replace5, replace6, replace7, |
| 335 | replace8, replace9, replace10, replace11, |
| 336 | replace12, replace13, replace14, replace15 |
| 337 | )); |
| 338 | } |
| 339 | |
| 340 | template<typename T> |
| 341 | simdjson_inline simd8<uint8_t> apply_lookup_16_to(const simd8<T> original) { |
| 342 | return vqtbl1q_u8(p0: *this, p1: simd8<uint8_t>(original)); |
| 343 | } |
| 344 | }; |
| 345 | |
| 346 | // Signed bytes |
| 347 | template<> |
| 348 | struct simd8<int8_t> { |
| 349 | int8x16_t value; |
| 350 | |
| 351 | static simdjson_inline simd8<int8_t> splat(int8_t _value) { return vmovq_n_s8(p0: _value); } |
| 352 | static simdjson_inline simd8<int8_t> zero() { return vdupq_n_s8(p0: 0); } |
| 353 | static simdjson_inline simd8<int8_t> load(const int8_t values[16]) { return vld1q_s8(values); } |
| 354 | |
| 355 | // Conversion from/to SIMD register |
| 356 | simdjson_inline simd8(const int8x16_t _value) : value{_value} {} |
| 357 | simdjson_inline operator const int8x16_t&() const { return this->value; } |
| 358 | simdjson_inline operator int8x16_t&() { return this->value; } |
| 359 | |
| 360 | // Zero constructor |
| 361 | simdjson_inline simd8() : simd8(zero()) {} |
| 362 | // Splat constructor |
| 363 | simdjson_inline simd8(int8_t _value) : simd8(splat(_value)) {} |
| 364 | // Array constructor |
| 365 | simdjson_inline simd8(const int8_t* values) : simd8(load(values)) {} |
| 366 | // Member-by-member initialization |
| 367 | #ifdef SIMDJSON_REGULAR_VISUAL_STUDIO |
| 368 | simdjson_inline simd8( |
| 369 | int8_t v0, int8_t v1, int8_t v2, int8_t v3, int8_t v4, int8_t v5, int8_t v6, int8_t v7, |
| 370 | int8_t v8, int8_t v9, int8_t v10, int8_t v11, int8_t v12, int8_t v13, int8_t v14, int8_t v15 |
| 371 | ) : simd8(make_int8x16_t( |
| 372 | v0, v1, v2, v3, v4, v5, v6, v7, |
| 373 | v8, v9, v10,v11,v12,v13,v14,v15 |
| 374 | )) {} |
| 375 | #else |
| 376 | simdjson_inline simd8( |
| 377 | int8_t v0, int8_t v1, int8_t v2, int8_t v3, int8_t v4, int8_t v5, int8_t v6, int8_t v7, |
| 378 | int8_t v8, int8_t v9, int8_t v10, int8_t v11, int8_t v12, int8_t v13, int8_t v14, int8_t v15 |
| 379 | ) : simd8(int8x16_t{ |
| 380 | v0, v1, v2, v3, v4, v5, v6, v7, |
| 381 | v8, v9, v10,v11,v12,v13,v14,v15 |
| 382 | }) {} |
| 383 | #endif |
| 384 | // Repeat 16 values as many times as necessary (usually for lookup tables) |
| 385 | simdjson_inline static simd8<int8_t> repeat_16( |
| 386 | int8_t v0, int8_t v1, int8_t v2, int8_t v3, int8_t v4, int8_t v5, int8_t v6, int8_t v7, |
| 387 | int8_t v8, int8_t v9, int8_t v10, int8_t v11, int8_t v12, int8_t v13, int8_t v14, int8_t v15 |
| 388 | ) { |
| 389 | return simd8<int8_t>( |
| 390 | v0, v1, v2, v3, v4, v5, v6, v7, |
| 391 | v8, v9, v10,v11,v12,v13,v14,v15 |
| 392 | ); |
| 393 | } |
| 394 | |
| 395 | // Store to array |
| 396 | simdjson_inline void store(int8_t dst[16]) const { return vst1q_s8(dst, *this); } |
| 397 | |
| 398 | // Explicit conversion to/from unsigned |
| 399 | // |
| 400 | // Under Visual Studio/ARM64 uint8x16_t and int8x16_t are apparently the same type. |
| 401 | // In theory, we could check this occurrence with std::same_as and std::enabled_if but it is C++14 |
| 402 | // and relatively ugly and hard to read. |
| 403 | #ifndef SIMDJSON_REGULAR_VISUAL_STUDIO |
| 404 | simdjson_inline explicit simd8(const uint8x16_t other): simd8(vreinterpretq_s8_u8(p0: other)) {} |
| 405 | #endif |
| 406 | simdjson_inline explicit operator simd8<uint8_t>() const { return vreinterpretq_u8_s8(p0: this->value); } |
| 407 | |
| 408 | // Math |
| 409 | simdjson_inline simd8<int8_t> operator+(const simd8<int8_t> other) const { return vaddq_s8(p0: *this, p1: other); } |
| 410 | simdjson_inline simd8<int8_t> operator-(const simd8<int8_t> other) const { return vsubq_s8(p0: *this, p1: other); } |
| 411 | simdjson_inline simd8<int8_t>& operator+=(const simd8<int8_t> other) { *this = *this + other; return *this; } |
| 412 | simdjson_inline simd8<int8_t>& operator-=(const simd8<int8_t> other) { *this = *this - other; return *this; } |
| 413 | |
| 414 | // Order-sensitive comparisons |
| 415 | simdjson_inline simd8<int8_t> max_val(const simd8<int8_t> other) const { return vmaxq_s8(p0: *this, p1: other); } |
| 416 | simdjson_inline simd8<int8_t> min_val(const simd8<int8_t> other) const { return vminq_s8(p0: *this, p1: other); } |
| 417 | simdjson_inline simd8<bool> operator>(const simd8<int8_t> other) const { return vcgtq_s8(p0: *this, p1: other); } |
| 418 | simdjson_inline simd8<bool> operator<(const simd8<int8_t> other) const { return vcltq_s8(p0: *this, p1: other); } |
| 419 | simdjson_inline simd8<bool> operator==(const simd8<int8_t> other) const { return vceqq_s8(p0: *this, p1: other); } |
| 420 | |
| 421 | template<int N=1> |
| 422 | simdjson_inline simd8<int8_t> prev(const simd8<int8_t> prev_chunk) const { |
| 423 | return vextq_s8(prev_chunk, *this, 16 - N); |
| 424 | } |
| 425 | |
| 426 | // Perform a lookup assuming no value is larger than 16 |
| 427 | template<typename L> |
| 428 | simdjson_inline simd8<L> lookup_16(simd8<L> lookup_table) const { |
| 429 | return lookup_table.apply_lookup_16_to(*this); |
| 430 | } |
| 431 | template<typename L> |
| 432 | simdjson_inline simd8<L> lookup_16( |
| 433 | L replace0, L replace1, L replace2, L replace3, |
| 434 | L replace4, L replace5, L replace6, L replace7, |
| 435 | L replace8, L replace9, L replace10, L replace11, |
| 436 | L replace12, L replace13, L replace14, L replace15) const { |
| 437 | return lookup_16(simd8<L>::repeat_16( |
| 438 | replace0, replace1, replace2, replace3, |
| 439 | replace4, replace5, replace6, replace7, |
| 440 | replace8, replace9, replace10, replace11, |
| 441 | replace12, replace13, replace14, replace15 |
| 442 | )); |
| 443 | } |
| 444 | |
| 445 | template<typename T> |
| 446 | simdjson_inline simd8<int8_t> apply_lookup_16_to(const simd8<T> original) { |
| 447 | return vqtbl1q_s8(p0: *this, p1: simd8<uint8_t>(original)); |
| 448 | } |
| 449 | }; |
| 450 | |
| 451 | template<typename T> |
| 452 | struct simd8x64 { |
| 453 | static constexpr int NUM_CHUNKS = 64 / sizeof(simd8<T>); |
| 454 | static_assert(NUM_CHUNKS == 4, "ARM kernel should use four registers per 64-byte block." ); |
| 455 | const simd8<T> chunks[NUM_CHUNKS]; |
| 456 | |
| 457 | simd8x64(const simd8x64<T>& o) = delete; // no copy allowed |
| 458 | simd8x64<T>& operator=(const simd8<T>& other) = delete; // no assignment allowed |
| 459 | simd8x64() = delete; // no default constructor allowed |
| 460 | |
| 461 | simdjson_inline simd8x64(const simd8<T> chunk0, const simd8<T> chunk1, const simd8<T> chunk2, const simd8<T> chunk3) : chunks{chunk0, chunk1, chunk2, chunk3} {} |
| 462 | simdjson_inline simd8x64(const T ptr[64]) : chunks{simd8<T>::load(ptr), simd8<T>::load(ptr+16), simd8<T>::load(ptr+32), simd8<T>::load(ptr+48)} {} |
| 463 | |
| 464 | simdjson_inline void store(T ptr[64]) const { |
| 465 | this->chunks[0].store(ptr+sizeof(simd8<T>)*0); |
| 466 | this->chunks[1].store(ptr+sizeof(simd8<T>)*1); |
| 467 | this->chunks[2].store(ptr+sizeof(simd8<T>)*2); |
| 468 | this->chunks[3].store(ptr+sizeof(simd8<T>)*3); |
| 469 | } |
| 470 | |
| 471 | simdjson_inline simd8<T> reduce_or() const { |
| 472 | return (this->chunks[0] | this->chunks[1]) | (this->chunks[2] | this->chunks[3]); |
| 473 | } |
| 474 | |
| 475 | |
| 476 | simdjson_inline uint64_t compress(uint64_t mask, T * output) const { |
| 477 | uint64_t popcounts = vget_lane_u64(vreinterpret_u64_u8(vcnt_u8(vcreate_u8(~mask))), 0); |
| 478 | // compute the prefix sum of the popcounts of each byte |
| 479 | uint64_t offsets = popcounts * 0x0101010101010101; |
| 480 | this->chunks[0].compress_halves(uint16_t(mask), output, &output[popcounts & 0xFF]); |
| 481 | this->chunks[1].compress_halves(uint16_t(mask >> 16), &output[(offsets >> 8) & 0xFF], &output[(offsets >> 16) & 0xFF]); |
| 482 | this->chunks[2].compress_halves(uint16_t(mask >> 32), &output[(offsets >> 24) & 0xFF], &output[(offsets >> 32) & 0xFF]); |
| 483 | this->chunks[3].compress_halves(uint16_t(mask >> 48), &output[(offsets >> 40) & 0xFF], &output[(offsets >> 48) & 0xFF]); |
| 484 | return offsets >> 56; |
| 485 | } |
| 486 | |
| 487 | simdjson_inline uint64_t to_bitmask() const { |
| 488 | #ifdef SIMDJSON_REGULAR_VISUAL_STUDIO |
| 489 | const uint8x16_t bit_mask = make_uint8x16_t( |
| 490 | 0x01, 0x02, 0x4, 0x8, 0x10, 0x20, 0x40, 0x80, |
| 491 | 0x01, 0x02, 0x4, 0x8, 0x10, 0x20, 0x40, 0x80 |
| 492 | ); |
| 493 | #else |
| 494 | const uint8x16_t bit_mask = { |
| 495 | 0x01, 0x02, 0x4, 0x8, 0x10, 0x20, 0x40, 0x80, |
| 496 | 0x01, 0x02, 0x4, 0x8, 0x10, 0x20, 0x40, 0x80 |
| 497 | }; |
| 498 | #endif |
| 499 | // Add each of the elements next to each other, successively, to stuff each 8 byte mask into one. |
| 500 | uint8x16_t sum0 = vpaddq_u8(this->chunks[0] & bit_mask, this->chunks[1] & bit_mask); |
| 501 | uint8x16_t sum1 = vpaddq_u8(this->chunks[2] & bit_mask, this->chunks[3] & bit_mask); |
| 502 | sum0 = vpaddq_u8(p0: sum0, p1: sum1); |
| 503 | sum0 = vpaddq_u8(p0: sum0, p1: sum0); |
| 504 | return vgetq_lane_u64(vreinterpretq_u64_u8(sum0), 0); |
| 505 | } |
| 506 | |
| 507 | simdjson_inline uint64_t eq(const T m) const { |
| 508 | const simd8<T> mask = simd8<T>::splat(m); |
| 509 | return simd8x64<bool>( |
| 510 | this->chunks[0] == mask, |
| 511 | this->chunks[1] == mask, |
| 512 | this->chunks[2] == mask, |
| 513 | this->chunks[3] == mask |
| 514 | ).to_bitmask(); |
| 515 | } |
| 516 | |
| 517 | simdjson_inline uint64_t lteq(const T m) const { |
| 518 | const simd8<T> mask = simd8<T>::splat(m); |
| 519 | return simd8x64<bool>( |
| 520 | this->chunks[0] <= mask, |
| 521 | this->chunks[1] <= mask, |
| 522 | this->chunks[2] <= mask, |
| 523 | this->chunks[3] <= mask |
| 524 | ).to_bitmask(); |
| 525 | } |
| 526 | }; // struct simd8x64<T> |
| 527 | |
| 528 | } // namespace simd |
| 529 | } // unnamed namespace |
| 530 | } // namespace SIMDJSON_IMPLEMENTATION |
| 531 | } // namespace simdjson |
| 532 | |
| 533 | #endif // SIMDJSON_ARM64_SIMD_H |
| 534 | |