1 /* 2 * Copyright (c) 2021, Oracle and/or its affiliates. All rights reserved. 3 * DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER. 4 * 5 * This code is free software; you can redistribute it and/or modify it 6 * under the terms of the GNU General Public License version 2 only, as 7 * published by the Free Software Foundation. Oracle designates this 8 * particular file as subject to the "Classpath" exception as provided 9 * by Oracle in the LICENSE file that accompanied this code. 10 * 11 * This code is distributed in the hope that it will be useful, but WITHOUT 12 * ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or 13 * FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License 14 * version 2 for more details (a copy is included in the LICENSE file that 15 * accompanied this code). 16 * 17 * You should have received a copy of the GNU General Public License version 18 * 2 along with this work; if not, write to the Free Software Foundation, 19 * Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA. 20 * 21 * Please contact Oracle, 500 Oracle Parkway, Redwood Shores, CA 94065 USA 22 * or visit www.oracle.com if you need additional information or have any 23 * questions. 24 */ 25 26 package jdk.random; 27 28 import java.util.concurrent.atomic.AtomicLong; 29 import java.util.random.RandomGenerator; 30 import jdk.internal.util.random.RandomSupport; 31 import jdk.internal.util.random.RandomSupport.AbstractSplittableWithBrineGenerator; 32 import jdk.internal.util.random.RandomSupport.RandomGeneratorProperties; 33 34 /** 35 * A "splittable" pseudorandom number generator (PRNG) whose period 36 * is roughly 2<sup>192</sup>. Class {@link L64X128MixRandom} implements 37 * interfaces {@link RandomGenerator} and {@link SplittableGenerator}, 38 * and therefore supports methods for producing pseudorandomly chosen 39 * values of type {@code int}, {@code long}, {@code float}, {@code double}, 40 * and {@code boolean} (and for producing streams of pseudorandomly chosen 41 * numbers of type {@code int}, {@code long}, and {@code double}), 42 * as well as methods for creating new split-off {@link L64X128MixRandom} 43 * objects or streams of such objects. 44 * 45 * <p>The {@link L64X128MixRandom} algorithm is a specific member of 46 * the LXM family of algorithms for pseudorandom number generators; 47 * for more information, see the documentation for package 48 * {@link jdk.random}. Each instance of {@link L64X128MixRandom} 49 * has 192 bits of state plus one 64-bit instance-specific parameter. 50 * 51 * <p>If two instances of {@link L64X128MixRandom} are created with 52 * the same seed within the same program execution, and the same 53 * sequence of method calls is made for each, they will generate and 54 * return identical sequences of values. 55 * 56 * <p>As with {@link java.util.SplittableRandom}, instances of 57 * {@link L64X128MixRandom} are <em>not</em> thread-safe. They are 58 * designed to be split, not shared, across threads (see the {@link #split} 59 * method). For example, a {@link java.util.concurrent.ForkJoinTask} 60 * fork/join-style computation using random numbers might include a 61 * construction of the form 62 * {@code new Subtask(someL64X128MixRandom.split()).fork()}. 63 * 64 * <p>This class provides additional methods for generating random 65 * streams, that employ the above techniques when used in 66 * {@code stream.parallel()} mode. 67 * 68 * <p>Instances of {@link L64X128MixRandom} are not cryptographically 69 * secure. Consider instead using {@link java.security.SecureRandom} 70 * in security-sensitive applications. Additionally, 71 * default-constructed instances do not use a cryptographically random 72 * seed unless the {@linkplain System#getProperty system property} 73 * {@code java.util.secureRandomSeed} is set to {@code true}. 74 * 75 * @since 17 76 * 77 */ 78 @RandomGeneratorProperties( 79 name = "L64X128MixRandom", 80 group = "LXM", 81 i = 128, j = 1, k = 64, 82 equidistribution = 2 83 ) 84 public final class L64X128MixRandom extends AbstractSplittableWithBrineGenerator { 85 86 /* 87 * Implementation Overview. 88 * 89 * The split operation uses the current generator to choose four new 64-bit 90 * long values that are then used to initialize the parameter `a` and the 91 * state variables `s`, `x0`, and `x1` for a newly constructed generator. 92 * 93 * With extremely high probability, no two generators so chosen 94 * will have the same `a` parameter, and testing has indicated 95 * that the values generated by two instances of {@link L64X128MixRandom} 96 * will be (approximately) independent if have different values for `a`. 97 * 98 * The default (no-argument) constructor, in essence, uses 99 * "defaultGen" to generate four new 64-bit values for the same 100 * purpose. Multiple generators created in this way will certainly 101 * differ in their `a` parameters. The defaultGen state must be accessed 102 * in a thread-safe manner, so we use an AtomicLong to represent 103 * this state. To bootstrap the defaultGen, we start off using a 104 * seed based on current time unless the 105 * java.util.secureRandomSeed property is set. This serves as a 106 * slimmed-down (and insecure) variant of SecureRandom that also 107 * avoids stalls that may occur when using /dev/random. 108 * 109 * File organization: First static fields, then instance 110 * fields, then constructors, then instance methods. 111 */ 112 113 /* ---------------- static fields ---------------- */ 114 115 /** 116 * The seed generator for default constructors. 117 */ 118 private static final AtomicLong defaultGen = new AtomicLong(RandomSupport.initialSeed()); 119 120 /* 121 * Multiplier used in the LCG portion of the algorithm. 122 * Chosen based on research by Sebastiano Vigna and Guy Steele (2019). 123 * The spectral scores for dimensions 2 through 8 for the multiplier 0xd1342543de82ef95L 124 * are [0.958602, 0.937479, 0.870757, 0.822326, 0.820405, 0.813065, 0.760215]. 125 */ 126 127 private static final long M = 0xd1342543de82ef95L; 128 129 /* ---------------- instance fields ---------------- */ 130 131 /** 132 * The parameter that is used as an additive constant for the LCG. 133 * Must be odd. 134 */ 135 private final long a; 136 137 /** 138 * The per-instance state: s for the LCG; x0 and x1 for the XBG. 139 * At least one of x0 and x1 must be nonzero. 140 */ 141 private long s, x0, x1; 142 143 /* ---------------- constructors ---------------- */ 144 145 /** 146 * Basic constructor that initializes all fields from parameters. 147 * It then adjusts the field values if necessary to ensure that 148 * all constraints on the values of fields are met. 149 * 150 * @param a additive parameter for the LCG 151 * @param s initial state for the LCG 152 * @param x0 first word of the initial state for the XBG 153 * @param x1 second word of the initial state for the XBG 154 */ L64X128MixRandom(long a, long s, long x0, long x1)155 public L64X128MixRandom(long a, long s, long x0, long x1) { 156 // Force a to be odd. 157 this.a = a | 1; 158 this.s = s; 159 this.x0 = x0; 160 this.x1 = x1; 161 // If x0 and x1 are both zero, we must choose nonzero values. 162 if ((x0 | x1) == 0) { 163 long v = s; 164 // At least one of the two values generated here will be nonzero. 165 this.x0 = RandomSupport.mixStafford13(v += RandomSupport.GOLDEN_RATIO_64); 166 this.x1 = RandomSupport.mixStafford13(v + RandomSupport.GOLDEN_RATIO_64); 167 } 168 } 169 170 /** 171 * Creates a new instance of {@link L64X128MixRandom} using the 172 * specified {@code long} value as the initial seed. Instances of 173 * {@link L64X128MixRandom} created with the same seed in the same 174 * program generate identical sequences of values. 175 * 176 * @param seed the initial seed 177 */ L64X128MixRandom(long seed)178 public L64X128MixRandom(long seed) { 179 // Using a value with irregularly spaced 1-bits to xor the seed 180 // argument tends to improve "pedestrian" seeds such as 0 or 181 // other small integers. We may as well use SILVER_RATIO_64. 182 // 183 // The seed is hashed by mixMurmur64 to produce the `a` parameter. 184 // The seed is hashed by mixStafford13 to produce the initial `x0`, 185 // which will then be used to produce the first generated value. 186 // Then x1 is filled in as if by a SplitMix PRNG with 187 // GOLDEN_RATIO_64 as the gamma value and mixStafford13 as the mixer. 188 this(RandomSupport.mixMurmur64(seed ^= RandomSupport.SILVER_RATIO_64), 189 1, 190 RandomSupport.mixStafford13(seed), 191 RandomSupport.mixStafford13(seed + RandomSupport.GOLDEN_RATIO_64)); 192 } 193 194 /** 195 * Creates a new instance of {@link L64X128MixRandom} that is likely to 196 * generate sequences of values that are statistically independent 197 * of those of any other instances in the current program execution, 198 * but may, and typically does, vary across program invocations. 199 */ L64X128MixRandom()200 public L64X128MixRandom() { 201 // Using GOLDEN_RATIO_64 here gives us a good Weyl sequence of values. 202 this(defaultGen.getAndAdd(RandomSupport.GOLDEN_RATIO_64)); 203 } 204 205 /** 206 * Creates a new instance of {@link L64X128MixRandom} using the specified array of 207 * initial seed bytes. Instances of {@link L64X128MixRandom} created with the same 208 * seed array in the same program execution generate identical sequences of values. 209 * 210 * @param seed the initial seed 211 */ L64X128MixRandom(byte[] seed)212 public L64X128MixRandom(byte[] seed) { 213 // Convert the seed to 4 long values, of which the last 2 are not all zero. 214 long[] data = RandomSupport.convertSeedBytesToLongs(seed, 4, 2); 215 long a = data[0], s = data[1], x0 = data[2], x1 = data[3]; 216 // Force a to be odd. 217 this.a = a | 1; 218 this.s = s; 219 this.x0 = x0; 220 this.x1 = x1; 221 } 222 223 /* ---------------- public methods ---------------- */ 224 225 @Override split(SplittableGenerator source, long brine)226 public SplittableGenerator split(SplittableGenerator source, long brine) { 227 // Pick a new instance "at random", but use the brine for `a`. 228 return new L64X128MixRandom(brine << 1, source.nextLong(), 229 source.nextLong(), source.nextLong()); 230 } 231 232 @Override nextLong()233 public long nextLong() { 234 // Compute the result based on current state information 235 // (this allows the computation to be overlapped with state update). 236 final long result = RandomSupport.mixLea64(s + x0); 237 238 // Update the LCG subgenerator 239 s = M * s + a; 240 241 // Update the XBG subgenerator 242 long q0 = x0, q1 = x1; 243 { // xoroshiro128v1_0 244 q1 ^= q0; 245 q0 = Long.rotateLeft(q0, 24); 246 q0 = q0 ^ q1 ^ (q1 << 16); 247 q1 = Long.rotateLeft(q1, 37); 248 } 249 x0 = q0; x1 = q1; 250 251 return result; 252 } 253 254 } 255