8025136: SplittableRandom enchancements

Co-authored-by: Guy Steele <guy.steele@oracle.com>
Reviewed-by: psandoz, martin
This commit is contained in:
Doug Lea 2013-10-08 11:17:15 +02:00 committed by Paul Sandoz
parent 1d8fbe7d05
commit 5bc35911d0
3 changed files with 51 additions and 54 deletions
jdk/src/share/classes/java/util

@ -89,7 +89,7 @@ class Random implements java.io.Serializable {
private static final long addend = 0xBL;
private static final long mask = (1L << 48) - 1;
private static final double DOUBLE_UNIT = 1.0 / (1L << 53);
private static final double DOUBLE_UNIT = 0x1.0p-53; // 1.0 / (1L << 53)
// IllegalArgumentException messages
static final String BadBound = "bound must be positive";

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

@ -194,8 +194,8 @@ public class ThreadLocalRandom extends Random {
private static final long SEEDER_INCREMENT = 0xbb67ae8584caa73bL;
// Constants from SplittableRandom
private static final double DOUBLE_UNIT = 1.0 / (1L << 53);
private static final float FLOAT_UNIT = 1.0f / (1 << 24);
private static final double DOUBLE_UNIT = 0x1.0p-53; // 1.0 / (1L << 53)
private static final float FLOAT_UNIT = 0x1.0p-24f; // 1.0f / (1 << 24)
/** Rarely-used holder for the second of a pair of Gaussians */
private static final ThreadLocal<Double> nextLocalGaussian =