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189 lines
6.8 KiB
C++
189 lines
6.8 KiB
C++
#include <Functions/FunctionsRandom.h>
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#include <Functions/FunctionFactory.h>
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#include <Functions/VectorExtension.h>
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#include <Common/HashTable/Hash.h>
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#include <Common/randomSeed.h>
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#include <base/unaligned.h>
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#if USE_MULTITARGET_CODE
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# include <x86intrin.h>
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#endif
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namespace DB
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{
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namespace
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{
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/// NOTE Probably
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/// http://www.pcg-random.org/
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/// or http://www.math.sci.hiroshima-u.ac.jp/~m-mat/MT/SFMT/
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/// or http://docs.yeppp.info/c/group__yep_random___w_e_l_l1024a.html
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/// could go better.
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struct LinearCongruentialGenerator
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{
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/// Constants from `man lrand48_r`.
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static constexpr UInt64 a = 0x5DEECE66D;
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static constexpr UInt64 c = 0xB;
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/// And this is from `head -c8 /dev/urandom | xxd -p`
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UInt64 current = 0x09826f4a081cee35ULL;
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void seed(UInt64 value)
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{
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current = value;
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}
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UInt32 next()
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{
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current = current * a + c;
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return current >> 16;
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}
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};
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UInt64 calcSeed(UInt64 rand_seed, UInt64 additional_seed)
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{
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return intHash64(rand_seed ^ intHash64(additional_seed));
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}
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void seed(LinearCongruentialGenerator & generator, UInt64 rand_seed, intptr_t additional_seed)
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{
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generator.seed(calcSeed(rand_seed, additional_seed));
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}
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/// The array of random numbers from 'head -c8 /dev/urandom | xxd -p'.
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/// Can be used for creating seeds for random generators.
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constexpr std::array<UInt64, 32> random_numbers = {
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0x0c8ff307dabc0c4cULL, 0xf4bce78bf3821c1bULL, 0x4eb628a1e189c21aULL, 0x85ae000d253e0dbcULL,
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0xc98073e6480f8a10ULL, 0xb17e9b70a084d570ULL, 0x1361c752b768da8cULL, 0x3d915f60c06d144dULL,
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0xd5bc9b7aced79587ULL, 0x66c28000ba8a66cfULL, 0x0fb58da7a48820f5ULL, 0x540ee1b57aa861a1ULL,
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0x212f11936ef2db04ULL, 0xa3939cd900edcc58ULL, 0xc676c84420170102ULL, 0xcbdc824e8b4bf3edULL,
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0x8296f9d93cc94e3bULL, 0x78a7e826d62085b2ULL, 0xaa30620211fc6c69ULL, 0xbd38de52f0a93677ULL,
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0x19983de8d79dcc4eULL, 0x8afe883ef2199e6fULL, 0xb7160f7ed022b60aULL, 0x2ce173d373ddafd4ULL,
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0x15762761bb55b9acULL, 0x3e448fc94fdd28e7ULL, 0xa5121232adfbe70aULL, 0xb1e0f6d286112804ULL,
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0x6062e96de9554806ULL, 0xcc679b329c28882aULL, 0x5c6d29f45cbc060eULL, 0x1af1325a86ffb162ULL,
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};
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}
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DECLARE_DEFAULT_CODE(
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void RandImpl::execute(char * output, size_t size)
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{
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LinearCongruentialGenerator generator0;
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LinearCongruentialGenerator generator1;
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LinearCongruentialGenerator generator2;
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LinearCongruentialGenerator generator3;
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UInt64 rand_seed = randomSeed();
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seed(generator0, rand_seed, random_numbers[0] + reinterpret_cast<intptr_t>(output));
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seed(generator1, rand_seed, random_numbers[1] + reinterpret_cast<intptr_t>(output));
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seed(generator2, rand_seed, random_numbers[2] + reinterpret_cast<intptr_t>(output));
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seed(generator3, rand_seed, random_numbers[3] + reinterpret_cast<intptr_t>(output));
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for (const char * end = output + size; output < end; output += 16)
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{
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unalignedStore<UInt32>(output, generator0.next());
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unalignedStore<UInt32>(output + 4, generator1.next());
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unalignedStore<UInt32>(output + 8, generator2.next());
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unalignedStore<UInt32>(output + 12, generator3.next());
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}
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/// It is guaranteed (by PaddedPODArray) that we can overwrite up to 15 bytes after end.
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}
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) // DECLARE_DEFAULT_CODE
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DECLARE_AVX2_SPECIFIC_CODE(
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using namespace VectorExtension;
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/* Takes 2 vectors with LinearCongruentialGenerator states and combines them into vector with random values.
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* From every rand-state we use only bits 15...47 to generate random vector.
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*/
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inline UInt64x4 combineValues(UInt64x4 a, UInt64x4 b)
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{
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auto xa = reinterpret_cast<__m256i>(a);
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auto xb = reinterpret_cast<__m256i>(b);
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/// Every state is 8-byte value and we need to use only 4 from the middle.
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/// Swap the low half and the high half of every state to move these bytes from the middle to sides.
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/// xa = xa[1, 0, 3, 2, 5, 4, 7, 6]
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xa = _mm256_shuffle_epi32(xa, 0xb1);
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/// Now every 8-byte value in xa is xx....xx and every value in xb is ..xxxx.. where x is random byte we want to use.
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/// Just blend them to get the result vector.
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/// result = xa[0],xb[1,2],xa[3,4],xb[5,6],xa[7,8],xb[9,10],xa[11,12],xb[13,14],xa[15]
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__m256i result = _mm256_blend_epi16(xa, xb, 0x66);
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return reinterpret_cast<UInt64x4>(result);
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}
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void RandImpl::execute(char * output, size_t size)
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{
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if (size == 0)
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return;
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char * end = output + size;
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constexpr int vec_size = 4;
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constexpr int safe_overwrite = 15;
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constexpr int bytes_per_write = 4 * sizeof(UInt64x4);
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UInt64 rand_seed = randomSeed();
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UInt64 a = LinearCongruentialGenerator::a;
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// TODO(dakovalkov): try to remove this.
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/// Note: GCC likes to expand multiplication by a constant into shifts + additions.
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/// In this case a few multiplications become tens of shifts and additions. That leads to a huge slow down.
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/// To avoid it we pretend that 'a' is not a constant. Actually we hope that rand_seed is never 0.
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if (rand_seed == 0)
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a = LinearCongruentialGenerator::a + 2;
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constexpr UInt64 c = LinearCongruentialGenerator::c;
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UInt64x4 gens1{};
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UInt64x4 gens2{};
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UInt64x4 gens3{};
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UInt64x4 gens4{};
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for (int i = 0; i < vec_size; ++i)
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{
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gens1[i] = calcSeed(rand_seed, random_numbers[i] + reinterpret_cast<intptr_t>(output));
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gens2[i] = calcSeed(rand_seed, random_numbers[i + vec_size] + reinterpret_cast<intptr_t>(output));
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gens3[i] = calcSeed(rand_seed, random_numbers[i + 2 * vec_size] + reinterpret_cast<intptr_t>(output));
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gens4[i] = calcSeed(rand_seed, random_numbers[i + 3 * vec_size] + reinterpret_cast<intptr_t>(output));
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}
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while ((end - output) + safe_overwrite >= bytes_per_write)
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{
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gens1 = gens1 * a + c;
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gens2 = gens2 * a + c;
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unalignedStore<UInt64x4>(output, combineValues(gens1, gens2));
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gens3 = gens3 * a + c;
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gens4 = gens4 * a + c;
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unalignedStore<UInt64x4>(output + sizeof(UInt64x4), combineValues(gens3, gens4));
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gens1 = gens1 * a + c;
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gens2 = gens2 * a + c;
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unalignedStore<UInt64x4>(output + 2 * sizeof(UInt64x4), combineValues(gens1, gens2));
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gens3 = gens3 * a + c;
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gens4 = gens4 * a + c;
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unalignedStore<UInt64x4>(output + 3 * sizeof(UInt64x4), combineValues(gens3, gens4));
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output += bytes_per_write;
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}
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// Process tail
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while ((end - output) > 0)
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{
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gens1 = gens1 * a + c;
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gens2 = gens2 * a + c;
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UInt64x4 values = combineValues(gens1, gens2);
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for (int i = 0; i < vec_size && (end - output) > 0; ++i)
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{
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unalignedStore<UInt64>(output, values[i]);
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output += sizeof(UInt64);
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}
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}
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}
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) // DECLARE_AVX2_SPECIFIC_CODE
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}
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