8025136: SplittableRandom enchancements
Co-authored-by: Guy Steele <guy.steele@oracle.com> Reviewed-by: psandoz, martin
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jdk/src/share/classes/java/util
@ -89,7 +89,7 @@ class Random implements java.io.Serializable {
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private static final long addend = 0xBL;
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private static final long mask = (1L << 48) - 1;
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private static final double DOUBLE_UNIT = 1.0 / (1L << 53);
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private static final double DOUBLE_UNIT = 0x1.0p-53; // 1.0 / (1L << 53)
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// IllegalArgumentException messages
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static final String BadBound = "bound must be positive";
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@ -107,29 +107,25 @@ public final class SplittableRandom {
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* Methods nextLong, nextInt, and derivatives do not return the
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* sequence (seed) values, but instead a hash-like bit-mix of
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* their bits, producing more independently distributed sequences.
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* For nextLong, the mix64 bit-mixing function computes the same
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* value as the "64-bit finalizer" function in Austin Appleby's
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* MurmurHash3 algorithm. See
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* http://code.google.com/p/smhasher/wiki/MurmurHash3 , which
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* comments: "The constants for the finalizers were generated by a
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* simple simulated-annealing algorithm, and both avalanche all
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* bits of 'h' to within 0.25% bias." The mix32 function is
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* equivalent to (int)(mix64(seed) >>> 32), but faster because it
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* omits a step that doesn't contribute to result.
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* For nextLong, the mix64 function is based on David Stafford's
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* (http://zimbry.blogspot.com/2011/09/better-bit-mixing-improving-on.html)
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* "Mix13" variant of the "64-bit finalizer" function in Austin
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* Appleby's MurmurHash3 algorithm (see
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* http://code.google.com/p/smhasher/wiki/MurmurHash3). The mix32
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* function is based on Stafford's Mix04 mix function, but returns
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* the upper 32 bits cast as int.
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*
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* The split operation uses the current generator to form the seed
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* and gamma for another SplittableRandom. To conservatively
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* avoid potential correlations between seed and value generation,
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* gamma selection (method nextGamma) uses the "Mix13" constants
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* for MurmurHash3 described by David Stafford
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* (http://zimbry.blogspot.com/2011/09/better-bit-mixing-improving-on.html)
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* To avoid potential weaknesses in bit-mixing transformations, we
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* restrict gammas to odd values with at least 12 and no more than
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* 52 bits set. Rather than rejecting candidates with too few or
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* too many bits set, method nextGamma flips some bits (which has
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* the effect of mapping at most 4 to any given gamma value).
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* This reduces the effective set of 64bit odd gamma values by
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* about 2<sup>14</sup>, a very tiny percentage, and serves as an
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* gamma selection (method mixGamma) uses different
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* (Murmurhash3's) mix constants. To avoid potential weaknesses
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* in bit-mixing transformations, we restrict gammas to odd values
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* with at least 24 0-1 or 1-0 bit transitions. Rather than
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* rejecting candidates with too few or too many bits set, method
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* mixGamma flips some bits (which has the effect of mapping at
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* most 4 to any given gamma value). This reduces the effective
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* set of 64bit odd gamma values by about 2%, and serves as an
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* automated screening for sequence constant selection that is
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* left as an empirical decision in some other hashing and crypto
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* algorithms.
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@ -140,14 +136,15 @@ public final class SplittableRandom {
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* avalanching.
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*
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* The default (no-argument) constructor, in essence, invokes
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* split() for a common "seeder" SplittableRandom. Unlike other
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* cases, this split must be performed in a thread-safe manner, so
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* we use an AtomicLong to represent the seed rather than use an
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* explicit SplittableRandom. To bootstrap the seeder, we start
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* off using a seed based on current time and host unless the
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* java.util.secureRandomSeed property is set. This serves as a
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* slimmed-down (and insecure) variant of SecureRandom that also
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* avoids stalls that may occur when using /dev/random.
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* split() for a common "defaultGen" SplittableRandom. Unlike
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* other cases, this split must be performed in a thread-safe
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* manner, so we use an AtomicLong to represent the seed rather
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* than use an explicit SplittableRandom. To bootstrap the
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* defaultGen, we start off using a seed based on current time and
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* network interface address unless the java.util.secureRandomSeed
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* property is set. This serves as a slimmed-down (and insecure)
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* variant of SecureRandom that also avoids stalls that may occur
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* when using /dev/random.
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*
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* It is a relatively simple matter to apply the basic design here
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* to use 128 bit seeds. However, emulating 128bit arithmetic and
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@ -160,17 +157,16 @@ public final class SplittableRandom {
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*/
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/**
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* The initial gamma value for (unsplit) SplittableRandoms. Must
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* be odd with at least 12 and no more than 52 bits set. Currently
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* set to the golden ratio scaled to 64bits.
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* The golden ratio scaled to 64bits, used as the initial gamma
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* value for (unsplit) SplittableRandoms.
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*/
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private static final long INITIAL_GAMMA = 0x9e3779b97f4a7c15L;
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private static final long GOLDEN_GAMMA = 0x9e3779b97f4a7c15L;
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/**
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* The least non-zero value returned by nextDouble(). This value
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* is scaled by a random value of 53 bits to produce a result.
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*/
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private static final double DOUBLE_UNIT = 1.0 / (1L << 53);
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private static final double DOUBLE_UNIT = 0x1.0p-53; // 1.0 / (1L << 53);
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/**
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* The seed. Updated only via method nextSeed.
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@ -191,31 +187,31 @@ public final class SplittableRandom {
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}
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/**
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* Computes MurmurHash3 64bit mix function.
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* Computes Stafford variant 13 of 64bit mix function.
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*/
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private static long mix64(long z) {
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z = (z ^ (z >>> 33)) * 0xff51afd7ed558ccdL;
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z = (z ^ (z >>> 33)) * 0xc4ceb9fe1a85ec53L;
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return z ^ (z >>> 33);
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z = (z ^ (z >>> 30)) * 0xbf58476d1ce4e5b9L;
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z = (z ^ (z >>> 27)) * 0x94d049bb133111ebL;
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return z ^ (z >>> 31);
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}
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/**
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* Returns the 32 high bits of mix64(z) as int.
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* Returns the 32 high bits of Stafford variant 4 mix64 function as int.
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*/
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private static int mix32(long z) {
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z = (z ^ (z >>> 33)) * 0xff51afd7ed558ccdL;
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return (int)(((z ^ (z >>> 33)) * 0xc4ceb9fe1a85ec53L) >>> 32);
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z = (z ^ (z >>> 33)) * 0x62a9d9ed799705f5L;
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return (int)(((z ^ (z >>> 28)) * 0xcb24d0a5c88c35b3L) >>> 32);
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}
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/**
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* Returns the gamma value to use for a new split instance.
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*/
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private static long nextGamma(long z) {
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z = (z ^ (z >>> 30)) * 0xbf58476d1ce4e5b9L; // Stafford "Mix13"
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z = (z ^ (z >>> 27)) * 0x94d049bb133111ebL;
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z = (z ^ (z >>> 31)) | 1L; // force to be odd
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int n = Long.bitCount(z); // ensure enough 0 and 1 bits
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return (n < 12 || n > 52) ? z ^ 0xaaaaaaaaaaaaaaaaL : z;
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private static long mixGamma(long z) {
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z = (z ^ (z >>> 33)) * 0xff51afd7ed558ccdL; // MurmurHash3 mix constants
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z = (z ^ (z >>> 33)) * 0xc4ceb9fe1a85ec53L;
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z = (z ^ (z >>> 33)) | 1L; // force to be odd
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int n = Long.bitCount(z ^ (z >>> 1)); // ensure enough transitions
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return (n < 24) ? z ^ 0xaaaaaaaaaaaaaaaaL : z;
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}
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/**
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@ -228,7 +224,7 @@ public final class SplittableRandom {
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/**
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* The seed generator for default constructors.
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*/
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private static final AtomicLong seeder = new AtomicLong(initialSeed());
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private static final AtomicLong defaultGen = new AtomicLong(initialSeed());
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private static long initialSeed() {
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String pp = java.security.AccessController.doPrivileged(
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@ -396,7 +392,7 @@ public final class SplittableRandom {
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* @param seed the initial seed
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*/
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public SplittableRandom(long seed) {
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this(seed, INITIAL_GAMMA);
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this(seed, GOLDEN_GAMMA);
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}
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/**
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@ -405,8 +401,10 @@ public final class SplittableRandom {
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* of those of any other instances in the current program; and
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* may, and typically does, vary across program invocations.
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*/
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public SplittableRandom() { // emulate seeder.split()
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this.gamma = nextGamma(this.seed = seeder.addAndGet(INITIAL_GAMMA));
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public SplittableRandom() { // emulate defaultGen.split()
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long s = defaultGen.getAndAdd(2 * GOLDEN_GAMMA);
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this.seed = mix64(s);
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this.gamma = mixGamma(s + GOLDEN_GAMMA);
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}
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/**
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@ -424,8 +422,7 @@ public final class SplittableRandom {
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* @return the new SplittableRandom instance
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*/
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public SplittableRandom split() {
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long s = nextSeed();
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return new SplittableRandom(s, nextGamma(s));
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return new SplittableRandom(nextLong(), mixGamma(nextSeed()));
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}
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/**
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@ -194,8 +194,8 @@ public class ThreadLocalRandom extends Random {
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private static final long SEEDER_INCREMENT = 0xbb67ae8584caa73bL;
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// Constants from SplittableRandom
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private static final double DOUBLE_UNIT = 1.0 / (1L << 53);
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private static final float FLOAT_UNIT = 1.0f / (1 << 24);
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private static final double DOUBLE_UNIT = 0x1.0p-53; // 1.0 / (1L << 53)
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private static final float FLOAT_UNIT = 0x1.0p-24f; // 1.0f / (1 << 24)
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/** Rarely-used holder for the second of a pair of Gaussians */
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private static final ThreadLocal<Double> nextLocalGaussian =
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