8005311: Add Scalable Updatable Variables, DoubleAccumulator, DoubleAdder, LongAccumulator, LongAdder

Reviewed-by: chegar, darcy, goetz
This commit is contained in:
Doug Lea 2013-01-21 13:50:05 +00:00
parent 3d92cb12a6
commit 3f14786363
8 changed files with 1674 additions and 0 deletions
jdk

@ -373,6 +373,11 @@ JAVA_JAVA_java = \
java/util/concurrent/atomic/AtomicReferenceArray.java \
java/util/concurrent/atomic/AtomicReferenceFieldUpdater.java \
java/util/concurrent/atomic/AtomicStampedReference.java \
java/util/concurrent/atomic/DoubleAccumulator.java \
java/util/concurrent/atomic/DoubleAdder.java \
java/util/concurrent/atomic/LongAccumulator.java \
java/util/concurrent/atomic/LongAdder.java \
java/util/concurrent/atomic/Striped64.java \
java/util/concurrent/locks/AbstractOwnableSynchronizer.java \
java/util/concurrent/locks/AbstractQueuedLongSynchronizer.java \
java/util/concurrent/locks/AbstractQueuedSynchronizer.java \

@ -0,0 +1,239 @@
/*
* DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER.
*
* This code is free software; you can redistribute it and/or modify it
* under the terms of the GNU General Public License version 2 only, as
* published by the Free Software Foundation. Oracle designates this
* particular file as subject to the "Classpath" exception as provided
* by Oracle in the LICENSE file that accompanied this code.
*
* This code is distributed in the hope that it will be useful, but WITHOUT
* ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
* FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
* version 2 for more details (a copy is included in the LICENSE file that
* accompanied this code).
*
* You should have received a copy of the GNU General Public License version
* 2 along with this work; if not, write to the Free Software Foundation,
* Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA.
*
* Please contact Oracle, 500 Oracle Parkway, Redwood Shores, CA 94065 USA
* or visit www.oracle.com if you need additional information or have any
* questions.
*/
/*
* This file is available under and governed by the GNU General Public
* License version 2 only, as published by the Free Software Foundation.
* However, the following notice accompanied the original version of this
* file:
*
* Written by Doug Lea with assistance from members of JCP JSR-166
* Expert Group and released to the public domain, as explained at
* http://creativecommons.org/publicdomain/zero/1.0/
*/
package java.util.concurrent.atomic;
import java.io.Serializable;
import java.util.function.DoubleBinaryOperator;
/**
* One or more variables that together maintain a running {@code double}
* value updated using a supplied function. When updates (method
* {@link #accumulate}) are contended across threads, the set of variables
* may grow dynamically to reduce contention. Method {@link #get}
* (or, equivalently, {@link #doubleValue}) returns the current value
* across the variables maintaining updates.
*
* <p>This class is usually preferable to alternatives when multiple
* threads update a common value that is used for purposes such as
* summary statistics that are frequently updated but less frequently
* read.
*
* <p>The supplied accumulator function should be side-effect-free,
* since it may be re-applied when attempted updates fail due to
* contention among threads. The function is applied with the current
* value as its first argument, and the given update as the second
* argument. For example, to maintain a running maximum value, you
* could supply {@code Double::max} along with {@code
* Double.NEGATIVE_INFINITY} as the identity. The order of
* accumulation within or across threads is not guaranteed. Thus, this
* class may not be applicable if numerical stability is required,
* especially when combining values of substantially different orders
* of magnitude.
*
* <p>Class {@link DoubleAdder} provides analogs of the functionality
* of this class for the common special case of maintaining sums. The
* call {@code new DoubleAdder()} is equivalent to {@code new
* DoubleAccumulator((x, y) -> x + y, 0.0}.
*
* <p>This class extends {@link Number}, but does <em>not</em> define
* methods such as {@code equals}, {@code hashCode} and {@code
* compareTo} because instances are expected to be mutated, and so are
* not useful as collection keys.
*
* @since 1.8
* @author Doug Lea
*/
public class DoubleAccumulator extends Striped64 implements Serializable {
private static final long serialVersionUID = 7249069246863182397L;
private final DoubleBinaryOperator function;
private final long identity; // use long representation
/**
* Creates a new instance using the given accumulator function
* and identity element.
*/
public DoubleAccumulator(DoubleBinaryOperator accumulatorFunction,
double identity) {
this.function = accumulatorFunction;
base = this.identity = Double.doubleToRawLongBits(identity);
}
/**
* Updates with the given value.
*
* @param x the value
*/
public void accumulate(double x) {
Cell[] as; long b, v, r; int m; Cell a;
if ((as = cells) != null ||
(r = Double.doubleToRawLongBits
(function.operateAsDouble
(Double.longBitsToDouble(b = base), x))) != b && !casBase(b, r)) {
boolean uncontended = true;
if (as == null || (m = as.length - 1) < 0 ||
(a = as[getProbe() & m]) == null ||
!(uncontended =
(r = Double.doubleToRawLongBits
(function.operateAsDouble
(Double.longBitsToDouble(v = a.value), x))) == v ||
a.cas(v, r)))
doubleAccumulate(x, function, uncontended);
}
}
/**
* Returns the current value. The returned value is <em>NOT</em>
* an atomic snapshot; invocation in the absence of concurrent
* updates returns an accurate result, but concurrent updates that
* occur while the value is being calculated might not be
* incorporated.
*
* @return the current value
*/
public double get() {
Cell[] as = cells; Cell a;
double result = Double.longBitsToDouble(base);
if (as != null) {
for (int i = 0; i < as.length; ++i) {
if ((a = as[i]) != null)
result = function.operateAsDouble
(result, Double.longBitsToDouble(a.value));
}
}
return result;
}
/**
* Resets variables maintaining updates to the identity value.
* This method may be a useful alternative to creating a new
* updater, but is only effective if there are no concurrent
* updates. Because this method is intrinsically racy, it should
* only be used when it is known that no threads are concurrently
* updating.
*/
public void reset() {
Cell[] as = cells; Cell a;
base = identity;
if (as != null) {
for (int i = 0; i < as.length; ++i) {
if ((a = as[i]) != null)
a.value = identity;
}
}
}
/**
* Equivalent in effect to {@link #get} followed by {@link
* #reset}. This method may apply for example during quiescent
* points between multithreaded computations. If there are
* updates concurrent with this method, the returned value is
* <em>not</em> guaranteed to be the final value occurring before
* the reset.
*
* @return the value before reset
*/
public double getThenReset() {
Cell[] as = cells; Cell a;
double result = Double.longBitsToDouble(base);
base = identity;
if (as != null) {
for (int i = 0; i < as.length; ++i) {
if ((a = as[i]) != null) {
double v = Double.longBitsToDouble(a.value);
a.value = identity;
result = function.operateAsDouble(result, v);
}
}
}
return result;
}
/**
* Returns the String representation of the current value.
* @return the String representation of the current value
*/
public String toString() {
return Double.toString(get());
}
/**
* Equivalent to {@link #get}.
*
* @return the current value
*/
public double doubleValue() {
return get();
}
/**
* Returns the {@linkplain #get current value} as a {@code long}
* after a narrowing primitive conversion.
*/
public long longValue() {
return (long)get();
}
/**
* Returns the {@linkplain #get current value} as an {@code int}
* after a narrowing primitive conversion.
*/
public int intValue() {
return (int)get();
}
/**
* Returns the {@linkplain #get current value} as a {@code float}
* after a narrowing primitive conversion.
*/
public float floatValue() {
return (float)get();
}
private void writeObject(java.io.ObjectOutputStream s)
throws java.io.IOException {
s.defaultWriteObject();
s.writeDouble(get());
}
private void readObject(java.io.ObjectInputStream s)
throws java.io.IOException, ClassNotFoundException {
s.defaultReadObject();
cellsBusy = 0;
cells = null;
base = Double.doubleToRawLongBits(s.readDouble());
}
}

@ -0,0 +1,227 @@
/*
* DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER.
*
* This code is free software; you can redistribute it and/or modify it
* under the terms of the GNU General Public License version 2 only, as
* published by the Free Software Foundation. Oracle designates this
* particular file as subject to the "Classpath" exception as provided
* by Oracle in the LICENSE file that accompanied this code.
*
* This code is distributed in the hope that it will be useful, but WITHOUT
* ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
* FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
* version 2 for more details (a copy is included in the LICENSE file that
* accompanied this code).
*
* You should have received a copy of the GNU General Public License version
* 2 along with this work; if not, write to the Free Software Foundation,
* Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA.
*
* Please contact Oracle, 500 Oracle Parkway, Redwood Shores, CA 94065 USA
* or visit www.oracle.com if you need additional information or have any
* questions.
*/
/*
* This file is available under and governed by the GNU General Public
* License version 2 only, as published by the Free Software Foundation.
* However, the following notice accompanied the original version of this
* file:
*
* Written by Doug Lea with assistance from members of JCP JSR-166
* Expert Group and released to the public domain, as explained at
* http://creativecommons.org/publicdomain/zero/1.0/
*/
package java.util.concurrent.atomic;
import java.io.Serializable;
/**
* One or more variables that together maintain an initially zero
* {@code double} sum. When updates (method {@link #add}) are
* contended across threads, the set of variables may grow dynamically
* to reduce contention. Method {@link #sum} (or, equivalently {@link
* #doubleValue}) returns the current total combined across the
* variables maintaining the sum. The order of accumulation within or
* across threads is not guaranteed. Thus, this class may not be
* applicable if numerical stability is required, especially when
* combining values of substantially different orders of magnitude.
*
* <p>This class is usually preferable to alternatives when multiple
* threads update a common value that is used for purposes such as
* summary statistics that are frequently updated but less frequently
* read.
*
* <p>This class extends {@link Number}, but does <em>not</em> define
* methods such as {@code equals}, {@code hashCode} and {@code
* compareTo} because instances are expected to be mutated, and so are
* not useful as collection keys.
*
* @since 1.8
* @author Doug Lea
*/
public class DoubleAdder extends Striped64 implements Serializable {
private static final long serialVersionUID = 7249069246863182397L;
/**
* Note that we must use "long" for underlying representations,
* because there is no compareAndSet for double, due to the fact
* that the bitwise equals used in any CAS implementation is not
* the same as double-precision equals. However, we use CAS only
* to detect and alleviate contention, for which bitwise equals
* works best anyway. In principle, the long/double conversions
* used here should be essentially free on most platforms since
* they just re-interpret bits.
*/
/**
* Creates a new adder with initial sum of zero.
*/
public DoubleAdder() {
}
/**
* Adds the given value.
*
* @param x the value to add
*/
public void add(double x) {
Cell[] as; long b, v; int m; Cell a;
if ((as = cells) != null ||
!casBase(b = base,
Double.doubleToRawLongBits
(Double.longBitsToDouble(b) + x))) {
boolean uncontended = true;
if (as == null || (m = as.length - 1) < 0 ||
(a = as[getProbe() & m]) == null ||
!(uncontended = a.cas(v = a.value,
Double.doubleToRawLongBits
(Double.longBitsToDouble(v) + x))))
doubleAccumulate(x, null, uncontended);
}
}
/**
* Returns the current sum. The returned value is <em>NOT</em> an
* atomic snapshot; invocation in the absence of concurrent
* updates returns an accurate result, but concurrent updates that
* occur while the sum is being calculated might not be
* incorporated. Also, because floating-point arithmetic is not
* strictly associative, the returned result need not be identical
* to the value that would be obtained in a sequential series of
* updates to a single variable.
*
* @return the sum
*/
public double sum() {
Cell[] as = cells; Cell a;
double sum = Double.longBitsToDouble(base);
if (as != null) {
for (int i = 0; i < as.length; ++i) {
if ((a = as[i]) != null)
sum += Double.longBitsToDouble(a.value);
}
}
return sum;
}
/**
* Resets variables maintaining the sum to zero. This method may
* be a useful alternative to creating a new adder, but is only
* effective if there are no concurrent updates. Because this
* method is intrinsically racy, it should only be used when it is
* known that no threads are concurrently updating.
*/
public void reset() {
Cell[] as = cells; Cell a;
base = 0L; // relies on fact that double 0 must have same rep as long
if (as != null) {
for (int i = 0; i < as.length; ++i) {
if ((a = as[i]) != null)
a.value = 0L;
}
}
}
/**
* Equivalent in effect to {@link #sum} followed by {@link
* #reset}. This method may apply for example during quiescent
* points between multithreaded computations. If there are
* updates concurrent with this method, the returned value is
* <em>not</em> guaranteed to be the final value occurring before
* the reset.
*
* @return the sum
*/
public double sumThenReset() {
Cell[] as = cells; Cell a;
double sum = Double.longBitsToDouble(base);
base = 0L;
if (as != null) {
for (int i = 0; i < as.length; ++i) {
if ((a = as[i]) != null) {
long v = a.value;
a.value = 0L;
sum += Double.longBitsToDouble(v);
}
}
}
return sum;
}
/**
* Returns the String representation of the {@link #sum}.
* @return the String representation of the {@link #sum}
*/
public String toString() {
return Double.toString(sum());
}
/**
* Equivalent to {@link #sum}.
*
* @return the sum
*/
public double doubleValue() {
return sum();
}
/**
* Returns the {@link #sum} as a {@code long} after a
* narrowing primitive conversion.
*/
public long longValue() {
return (long)sum();
}
/**
* Returns the {@link #sum} as an {@code int} after a
* narrowing primitive conversion.
*/
public int intValue() {
return (int)sum();
}
/**
* Returns the {@link #sum} as a {@code float}
* after a narrowing primitive conversion.
*/
public float floatValue() {
return (float)sum();
}
private void writeObject(java.io.ObjectOutputStream s)
throws java.io.IOException {
s.defaultWriteObject();
s.writeDouble(sum());
}
private void readObject(java.io.ObjectInputStream s)
throws java.io.IOException, ClassNotFoundException {
s.defaultReadObject();
cellsBusy = 0;
cells = null;
base = Double.doubleToRawLongBits(s.readDouble());
}
}

@ -0,0 +1,236 @@
/*
* DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER.
*
* This code is free software; you can redistribute it and/or modify it
* under the terms of the GNU General Public License version 2 only, as
* published by the Free Software Foundation. Oracle designates this
* particular file as subject to the "Classpath" exception as provided
* by Oracle in the LICENSE file that accompanied this code.
*
* This code is distributed in the hope that it will be useful, but WITHOUT
* ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
* FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
* version 2 for more details (a copy is included in the LICENSE file that
* accompanied this code).
*
* You should have received a copy of the GNU General Public License version
* 2 along with this work; if not, write to the Free Software Foundation,
* Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA.
*
* Please contact Oracle, 500 Oracle Parkway, Redwood Shores, CA 94065 USA
* or visit www.oracle.com if you need additional information or have any
* questions.
*/
/*
* This file is available under and governed by the GNU General Public
* License version 2 only, as published by the Free Software Foundation.
* However, the following notice accompanied the original version of this
* file:
*
* Written by Doug Lea with assistance from members of JCP JSR-166
* Expert Group and released to the public domain, as explained at
* http://creativecommons.org/publicdomain/zero/1.0/
*/
package java.util.concurrent.atomic;
import java.io.Serializable;
import java.util.function.LongBinaryOperator;
/**
* One or more variables that together maintain a running {@code long}
* value updated using a supplied function. When updates (method
* {@link #accumulate}) are contended across threads, the set of variables
* may grow dynamically to reduce contention. Method {@link #get}
* (or, equivalently, {@link #longValue}) returns the current value
* across the variables maintaining updates.
*
* <p>This class is usually preferable to {@link AtomicLong} when
* multiple threads update a common value that is used for purposes such
* as collecting statistics, not for fine-grained synchronization
* control. Under low update contention, the two classes have similar
* characteristics. But under high contention, expected throughput of
* this class is significantly higher, at the expense of higher space
* consumption.
*
* <p>The order of accumulation within or across threads is not
* guaranteed and cannot be depended upon, so this class is only
* applicable to functions for which the order of accumulation does
* not matter. The supplied accumulator function should be
* side-effect-free, since it may be re-applied when attempted updates
* fail due to contention among threads. The function is applied with
* the current value as its first argument, and the given update as
* the second argument. For example, to maintain a running maximum
* value, you could supply {@code Long::max} along with {@code
* Long.MIN_VALUE} as the identity.
*
* <p>Class {@link LongAdder} provides analogs of the functionality of
* this class for the common special case of maintaining counts and
* sums. The call {@code new LongAdder()} is equivalent to {@code new
* LongAccumulator((x, y) -> x + y, 0L}.
*
* <p>This class extends {@link Number}, but does <em>not</em> define
* methods such as {@code equals}, {@code hashCode} and {@code
* compareTo} because instances are expected to be mutated, and so are
* not useful as collection keys.
*
* @since 1.8
* @author Doug Lea
*/
public class LongAccumulator extends Striped64 implements Serializable {
private static final long serialVersionUID = 7249069246863182397L;
private final LongBinaryOperator function;
private final long identity;
/**
* Creates a new instance using the given accumulator function
* and identity element.
*/
public LongAccumulator(LongBinaryOperator accumulatorFunction,
long identity) {
this.function = accumulatorFunction;
base = this.identity = identity;
}
/**
* Updates with the given value.
*
* @param x the value
*/
public void accumulate(long x) {
Cell[] as; long b, v, r; int m; Cell a;
if ((as = cells) != null ||
(r = function.operateAsLong(b = base, x)) != b && !casBase(b, r)) {
boolean uncontended = true;
if (as == null || (m = as.length - 1) < 0 ||
(a = as[getProbe() & m]) == null ||
!(uncontended =
(r = function.operateAsLong(v = a.value, x)) == v ||
a.cas(v, r)))
longAccumulate(x, function, uncontended);
}
}
/**
* Returns the current value. The returned value is <em>NOT</em>
* an atomic snapshot; invocation in the absence of concurrent
* updates returns an accurate result, but concurrent updates that
* occur while the value is being calculated might not be
* incorporated.
*
* @return the current value
*/
public long get() {
Cell[] as = cells; Cell a;
long result = base;
if (as != null) {
for (int i = 0; i < as.length; ++i) {
if ((a = as[i]) != null)
result = function.operateAsLong(result, a.value);
}
}
return result;
}
/**
* Resets variables maintaining updates to the identity value.
* This method may be a useful alternative to creating a new
* updater, but is only effective if there are no concurrent
* updates. Because this method is intrinsically racy, it should
* only be used when it is known that no threads are concurrently
* updating.
*/
public void reset() {
Cell[] as = cells; Cell a;
base = identity;
if (as != null) {
for (int i = 0; i < as.length; ++i) {
if ((a = as[i]) != null)
a.value = identity;
}
}
}
/**
* Equivalent in effect to {@link #get} followed by {@link
* #reset}. This method may apply for example during quiescent
* points between multithreaded computations. If there are
* updates concurrent with this method, the returned value is
* <em>not</em> guaranteed to be the final value occurring before
* the reset.
*
* @return the value before reset
*/
public long getThenReset() {
Cell[] as = cells; Cell a;
long result = base;
base = identity;
if (as != null) {
for (int i = 0; i < as.length; ++i) {
if ((a = as[i]) != null) {
long v = a.value;
a.value = identity;
result = function.operateAsLong(result, v);
}
}
}
return result;
}
/**
* Returns the String representation of the current value.
* @return the String representation of the current value
*/
public String toString() {
return Long.toString(get());
}
/**
* Equivalent to {@link #get}.
*
* @return the current value
*/
public long longValue() {
return get();
}
/**
* Returns the {@linkplain #get current value} as an {@code int}
* after a narrowing primitive conversion.
*/
public int intValue() {
return (int)get();
}
/**
* Returns the {@linkplain #get current value} as a {@code float}
* after a widening primitive conversion.
*/
public float floatValue() {
return (float)get();
}
/**
* Returns the {@linkplain #get current value} as a {@code double}
* after a widening primitive conversion.
*/
public double doubleValue() {
return (double)get();
}
private void writeObject(java.io.ObjectOutputStream s)
throws java.io.IOException {
s.defaultWriteObject();
s.writeLong(get());
}
private void readObject(java.io.ObjectInputStream s)
throws java.io.IOException, ClassNotFoundException {
s.defaultReadObject();
cellsBusy = 0;
cells = null;
base = s.readLong();
}
}

@ -0,0 +1,228 @@
/*
* DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER.
*
* This code is free software; you can redistribute it and/or modify it
* under the terms of the GNU General Public License version 2 only, as
* published by the Free Software Foundation. Oracle designates this
* particular file as subject to the "Classpath" exception as provided
* by Oracle in the LICENSE file that accompanied this code.
*
* This code is distributed in the hope that it will be useful, but WITHOUT
* ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
* FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
* version 2 for more details (a copy is included in the LICENSE file that
* accompanied this code).
*
* You should have received a copy of the GNU General Public License version
* 2 along with this work; if not, write to the Free Software Foundation,
* Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA.
*
* Please contact Oracle, 500 Oracle Parkway, Redwood Shores, CA 94065 USA
* or visit www.oracle.com if you need additional information or have any
* questions.
*/
/*
* This file is available under and governed by the GNU General Public
* License version 2 only, as published by the Free Software Foundation.
* However, the following notice accompanied the original version of this
* file:
*
* Written by Doug Lea with assistance from members of JCP JSR-166
* Expert Group and released to the public domain, as explained at
* http://creativecommons.org/publicdomain/zero/1.0/
*/
package java.util.concurrent.atomic;
import java.io.Serializable;
/**
* One or more variables that together maintain an initially zero
* {@code long} sum. When updates (method {@link #add}) are contended
* across threads, the set of variables may grow dynamically to reduce
* contention. Method {@link #sum} (or, equivalently, {@link
* #longValue}) returns the current total combined across the
* variables maintaining the sum.
*
* <p>This class is usually preferable to {@link AtomicLong} when
* multiple threads update a common sum that is used for purposes such
* as collecting statistics, not for fine-grained synchronization
* control. Under low update contention, the two classes have similar
* characteristics. But under high contention, expected throughput of
* this class is significantly higher, at the expense of higher space
* consumption.
*
* <p>LongAdders can be used with a {@link
* java.util.concurrent.ConcurrentHashMap} to maintain a scalable
* frequency map (a form of histogram or multiset). For example, to
* add a count to a {@code ConcurrentHashMap<String,LongAdder> freqs},
* initializing if not already present, you can use {@code
* freqs.computeIfAbsent(k -> new LongAdder()).increment();}
*
* <p>This class extends {@link Number}, but does <em>not</em> define
* methods such as {@code equals}, {@code hashCode} and {@code
* compareTo} because instances are expected to be mutated, and so are
* not useful as collection keys.
*
* @since 1.8
* @author Doug Lea
*/
public class LongAdder extends Striped64 implements Serializable {
private static final long serialVersionUID = 7249069246863182397L;
/**
* Creates a new adder with initial sum of zero.
*/
public LongAdder() {
}
/**
* Adds the given value.
*
* @param x the value to add
*/
public void add(long x) {
Cell[] as; long b, v; int m; Cell a;
if ((as = cells) != null || !casBase(b = base, b + x)) {
boolean uncontended = true;
if (as == null || (m = as.length - 1) < 0 ||
(a = as[getProbe() & m]) == null ||
!(uncontended = a.cas(v = a.value, v + x)))
longAccumulate(x, null, uncontended);
}
}
/**
* Equivalent to {@code add(1)}.
*/
public void increment() {
add(1L);
}
/**
* Equivalent to {@code add(-1)}.
*/
public void decrement() {
add(-1L);
}
/**
* Returns the current sum. The returned value is <em>NOT</em> an
* atomic snapshot; invocation in the absence of concurrent
* updates returns an accurate result, but concurrent updates that
* occur while the sum is being calculated might not be
* incorporated.
*
* @return the sum
*/
public long sum() {
Cell[] as = cells; Cell a;
long sum = base;
if (as != null) {
for (int i = 0; i < as.length; ++i) {
if ((a = as[i]) != null)
sum += a.value;
}
}
return sum;
}
/**
* Resets variables maintaining the sum to zero. This method may
* be a useful alternative to creating a new adder, but is only
* effective if there are no concurrent updates. Because this
* method is intrinsically racy, it should only be used when it is
* known that no threads are concurrently updating.
*/
public void reset() {
Cell[] as = cells; Cell a;
base = 0L;
if (as != null) {
for (int i = 0; i < as.length; ++i) {
if ((a = as[i]) != null)
a.value = 0L;
}
}
}
/**
* Equivalent in effect to {@link #sum} followed by {@link
* #reset}. This method may apply for example during quiescent
* points between multithreaded computations. If there are
* updates concurrent with this method, the returned value is
* <em>not</em> guaranteed to be the final value occurring before
* the reset.
*
* @return the sum
*/
public long sumThenReset() {
Cell[] as = cells; Cell a;
long sum = base;
base = 0L;
if (as != null) {
for (int i = 0; i < as.length; ++i) {
if ((a = as[i]) != null) {
sum += a.value;
a.value = 0L;
}
}
}
return sum;
}
/**
* Returns the String representation of the {@link #sum}.
* @return the String representation of the {@link #sum}
*/
public String toString() {
return Long.toString(sum());
}
/**
* Equivalent to {@link #sum}.
*
* @return the sum
*/
public long longValue() {
return sum();
}
/**
* Returns the {@link #sum} as an {@code int} after a narrowing
* primitive conversion.
*/
public int intValue() {
return (int)sum();
}
/**
* Returns the {@link #sum} as a {@code float}
* after a widening primitive conversion.
*/
public float floatValue() {
return (float)sum();
}
/**
* Returns the {@link #sum} as a {@code double} after a widening
* primitive conversion.
*/
public double doubleValue() {
return (double)sum();
}
private void writeObject(java.io.ObjectOutputStream s)
throws java.io.IOException {
s.defaultWriteObject();
s.writeLong(sum());
}
private void readObject(java.io.ObjectInputStream s)
throws java.io.IOException, ClassNotFoundException {
s.defaultReadObject();
cellsBusy = 0;
cells = null;
base = s.readLong();
}
}

@ -0,0 +1,417 @@
/*
* DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER.
*
* This code is free software; you can redistribute it and/or modify it
* under the terms of the GNU General Public License version 2 only, as
* published by the Free Software Foundation. Oracle designates this
* particular file as subject to the "Classpath" exception as provided
* by Oracle in the LICENSE file that accompanied this code.
*
* This code is distributed in the hope that it will be useful, but WITHOUT
* ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
* FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
* version 2 for more details (a copy is included in the LICENSE file that
* accompanied this code).
*
* You should have received a copy of the GNU General Public License version
* 2 along with this work; if not, write to the Free Software Foundation,
* Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA.
*
* Please contact Oracle, 500 Oracle Parkway, Redwood Shores, CA 94065 USA
* or visit www.oracle.com if you need additional information or have any
* questions.
*/
/*
* This file is available under and governed by the GNU General Public
* License version 2 only, as published by the Free Software Foundation.
* However, the following notice accompanied the original version of this
* file:
*
* Written by Doug Lea with assistance from members of JCP JSR-166
* Expert Group and released to the public domain, as explained at
* http://creativecommons.org/publicdomain/zero/1.0/
*/
package java.util.concurrent.atomic;
import java.util.function.LongBinaryOperator;
import java.util.function.DoubleBinaryOperator;
import java.util.concurrent.ThreadLocalRandom;
/**
* A package-local class holding common representation and mechanics
* for classes supporting dynamic striping on 64bit values. The class
* extends Number so that concrete subclasses must publicly do so.
*/
abstract class Striped64 extends Number {
/*
* This class maintains a lazily-initialized table of atomically
* updated variables, plus an extra "base" field. The table size
* is a power of two. Indexing uses masked per-thread hash codes.
* Nearly all declarations in this class are package-private,
* accessed directly by subclasses.
*
* Table entries are of class Cell; a variant of AtomicLong padded
* to reduce cache contention on most processors. Padding is
* overkill for most Atomics because they are usually irregularly
* scattered in memory and thus don't interfere much with each
* other. But Atomic objects residing in arrays will tend to be
* placed adjacent to each other, and so will most often share
* cache lines (with a huge negative performance impact) without
* this precaution.
*
* In part because Cells are relatively large, we avoid creating
* them until they are needed. When there is no contention, all
* updates are made to the base field. Upon first contention (a
* failed CAS on base update), the table is initialized to size 2.
* The table size is doubled upon further contention until
* reaching the nearest power of two greater than or equal to the
* number of CPUS. Table slots remain empty (null) until they are
* needed.
*
* A single spinlock ("cellsBusy") is used for initializing and
* resizing the table, as well as populating slots with new Cells.
* There is no need for a blocking lock; when the lock is not
* available, threads try other slots (or the base). During these
* retries, there is increased contention and reduced locality,
* which is still better than alternatives.
*
* The Thread probe fields maintained via ThreadLocalRandom serve
* as per-thread hash codes. We let them remain uninitialized as
* zero (if they come in this way) until they contend at slot
* 0. They are then initialized to values that typically do not
* often conflict with others. Contention and/or table collisions
* are indicated by failed CASes when performing an update
* operation. Upon a collision, if the table size is less than
* the capacity, it is doubled in size unless some other thread
* holds the lock. If a hashed slot is empty, and lock is
* available, a new Cell is created. Otherwise, if the slot
* exists, a CAS is tried. Retries proceed by "double hashing",
* using a secondary hash (Marsaglia XorShift) to try to find a
* free slot.
*
* The table size is capped because, when there are more threads
* than CPUs, supposing that each thread were bound to a CPU,
* there would exist a perfect hash function mapping threads to
* slots that eliminates collisions. When we reach capacity, we
* search for this mapping by randomly varying the hash codes of
* colliding threads. Because search is random, and collisions
* only become known via CAS failures, convergence can be slow,
* and because threads are typically not bound to CPUS forever,
* may not occur at all. However, despite these limitations,
* observed contention rates are typically low in these cases.
*
* It is possible for a Cell to become unused when threads that
* once hashed to it terminate, as well as in the case where
* doubling the table causes no thread to hash to it under
* expanded mask. We do not try to detect or remove such cells,
* under the assumption that for long-running instances, observed
* contention levels will recur, so the cells will eventually be
* needed again; and for short-lived ones, it does not matter.
*/
/**
* Padded variant of AtomicLong supporting only raw accesses plus CAS.
* The value field is placed between pads, hoping that the JVM doesn't
* reorder them.
*
* JVM intrinsics note: It would be possible to use a release-only
* form of CAS here, if it were provided.
*/
static final class Cell {
volatile long p0, p1, p2, p3, p4, p5, p6;
volatile long value;
volatile long q0, q1, q2, q3, q4, q5, q6;
Cell(long x) { value = x; }
final boolean cas(long cmp, long val) {
return UNSAFE.compareAndSwapLong(this, valueOffset, cmp, val);
}
// Unsafe mechanics
private static final sun.misc.Unsafe UNSAFE;
private static final long valueOffset;
static {
try {
UNSAFE = sun.misc.Unsafe.getUnsafe();
Class<?> ak = Cell.class;
valueOffset = UNSAFE.objectFieldOffset
(ak.getDeclaredField("value"));
} catch (Exception e) {
throw new Error(e);
}
}
}
/** Number of CPUS, to place bound on table size */
static final int NCPU = Runtime.getRuntime().availableProcessors();
/**
* Table of cells. When non-null, size is a power of 2.
*/
transient volatile Cell[] cells;
/**
* Base value, used mainly when there is no contention, but also as
* a fallback during table initialization races. Updated via CAS.
*/
transient volatile long base;
/**
* Spinlock (locked via CAS) used when resizing and/or creating Cells.
*/
transient volatile int cellsBusy;
/**
* Package-private default constructor
*/
Striped64() {
}
/**
* CASes the base field.
*/
final boolean casBase(long cmp, long val) {
return UNSAFE.compareAndSwapLong(this, BASE, cmp, val);
}
/**
* CASes the cellsBusy field from 0 to 1 to acquire lock.
*/
final boolean casCellsBusy() {
return UNSAFE.compareAndSwapInt(this, CELLSBUSY, 0, 1);
}
/**
* Returns the probe value for the current thread.
* Duplicated from ThreadLocalRandom because of packaging restrictions.
*/
static final int getProbe() {
return UNSAFE.getInt(Thread.currentThread(), PROBE);
}
/**
* Pseudo-randomly advances and records the given probe value for the
* given thread.
* Duplicated from ThreadLocalRandom because of packaging restrictions.
*/
static final int advanceProbe(int probe) {
probe ^= probe << 13; // xorshift
probe ^= probe >>> 17;
probe ^= probe << 5;
UNSAFE.putInt(Thread.currentThread(), PROBE, probe);
return probe;
}
/**
* Handles cases of updates involving initialization, resizing,
* creating new Cells, and/or contention. See above for
* explanation. This method suffers the usual non-modularity
* problems of optimistic retry code, relying on rechecked sets of
* reads.
*
* @param x the value
* @param fn the update function, or null for add (this convention
* avoids the need for an extra field or function in LongAdder).
* @param wasUncontended false if CAS failed before call
*/
final void longAccumulate(long x, LongBinaryOperator fn,
boolean wasUncontended) {
int h;
if ((h = getProbe()) == 0) {
ThreadLocalRandom.current(); // force initialization
h = getProbe();
wasUncontended = true;
}
boolean collide = false; // True if last slot nonempty
for (;;) {
Cell[] as; Cell a; int n; long v;
if ((as = cells) != null && (n = as.length) > 0) {
if ((a = as[(n - 1) & h]) == null) {
if (cellsBusy == 0) { // Try to attach new Cell
Cell r = new Cell(x); // Optimistically create
if (cellsBusy == 0 && casCellsBusy()) {
boolean created = false;
try { // Recheck under lock
Cell[] rs; int m, j;
if ((rs = cells) != null &&
(m = rs.length) > 0 &&
rs[j = (m - 1) & h] == null) {
rs[j] = r;
created = true;
}
} finally {
cellsBusy = 0;
}
if (created)
break;
continue; // Slot is now non-empty
}
}
collide = false;
}
else if (!wasUncontended) // CAS already known to fail
wasUncontended = true; // Continue after rehash
else if (a.cas(v = a.value, ((fn == null) ? v + x :
fn.operateAsLong(v, x))))
break;
else if (n >= NCPU || cells != as)
collide = false; // At max size or stale
else if (!collide)
collide = true;
else if (cellsBusy == 0 && casCellsBusy()) {
try {
if (cells == as) { // Expand table unless stale
Cell[] rs = new Cell[n << 1];
for (int i = 0; i < n; ++i)
rs[i] = as[i];
cells = rs;
}
} finally {
cellsBusy = 0;
}
collide = false;
continue; // Retry with expanded table
}
h = advanceProbe(h);
}
else if (cellsBusy == 0 && cells == as && casCellsBusy()) {
boolean init = false;
try { // Initialize table
if (cells == as) {
Cell[] rs = new Cell[2];
rs[h & 1] = new Cell(x);
cells = rs;
init = true;
}
} finally {
cellsBusy = 0;
}
if (init)
break;
}
else if (casBase(v = base, ((fn == null) ? v + x :
fn.operateAsLong(v, x))))
break; // Fall back on using base
}
}
/**
* Same as longAccumulate, but injecting long/double conversions
* in too many places to sensibly merge with long version, given
* the low-overhead requirements of this class. So must instead be
* maintained by copy/paste/adapt.
*/
final void doubleAccumulate(double x, DoubleBinaryOperator fn,
boolean wasUncontended) {
int h;
if ((h = getProbe()) == 0) {
ThreadLocalRandom.current(); // force initialization
h = getProbe();
wasUncontended = true;
}
boolean collide = false; // True if last slot nonempty
for (;;) {
Cell[] as; Cell a; int n; long v;
if ((as = cells) != null && (n = as.length) > 0) {
if ((a = as[(n - 1) & h]) == null) {
if (cellsBusy == 0) { // Try to attach new Cell
Cell r = new Cell(Double.doubleToRawLongBits(x));
if (cellsBusy == 0 && casCellsBusy()) {
boolean created = false;
try { // Recheck under lock
Cell[] rs; int m, j;
if ((rs = cells) != null &&
(m = rs.length) > 0 &&
rs[j = (m - 1) & h] == null) {
rs[j] = r;
created = true;
}
} finally {
cellsBusy = 0;
}
if (created)
break;
continue; // Slot is now non-empty
}
}
collide = false;
}
else if (!wasUncontended) // CAS already known to fail
wasUncontended = true; // Continue after rehash
else if (a.cas(v = a.value,
((fn == null) ?
Double.doubleToRawLongBits
(Double.longBitsToDouble(v) + x) :
Double.doubleToRawLongBits
(fn.operateAsDouble
(Double.longBitsToDouble(v), x)))))
break;
else if (n >= NCPU || cells != as)
collide = false; // At max size or stale
else if (!collide)
collide = true;
else if (cellsBusy == 0 && casCellsBusy()) {
try {
if (cells == as) { // Expand table unless stale
Cell[] rs = new Cell[n << 1];
for (int i = 0; i < n; ++i)
rs[i] = as[i];
cells = rs;
}
} finally {
cellsBusy = 0;
}
collide = false;
continue; // Retry with expanded table
}
h = advanceProbe(h);
}
else if (cellsBusy == 0 && cells == as && casCellsBusy()) {
boolean init = false;
try { // Initialize table
if (cells == as) {
Cell[] rs = new Cell[2];
rs[h & 1] = new Cell(Double.doubleToRawLongBits(x));
cells = rs;
init = true;
}
} finally {
cellsBusy = 0;
}
if (init)
break;
}
else if (casBase(v = base,
((fn == null) ?
Double.doubleToRawLongBits
(Double.longBitsToDouble(v) + x) :
Double.doubleToRawLongBits
(fn.operateAsDouble
(Double.longBitsToDouble(v), x)))))
break; // Fall back on using base
}
}
// Unsafe mechanics
private static final sun.misc.Unsafe UNSAFE;
private static final long BASE;
private static final long CELLSBUSY;
private static final long PROBE;
static {
try {
UNSAFE = sun.misc.Unsafe.getUnsafe();
Class<?> sk = Striped64.class;
BASE = UNSAFE.objectFieldOffset
(sk.getDeclaredField("base"));
CELLSBUSY = UNSAFE.objectFieldOffset
(sk.getDeclaredField("cellsBusy"));
Class<?> tk = Thread.class;
PROBE = UNSAFE.objectFieldOffset
(tk.getDeclaredField("threadLocalRandomProbe"));
} catch (Exception e) {
throw new Error(e);
}
}
}

@ -0,0 +1,164 @@
/*
* Copyright (c) 2013, Oracle and/or its affiliates. All rights reserved.
* DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER.
*
* This code is free software; you can redistribute it and/or modify it
* under the terms of the GNU General Public License version 2 only, as
* published by the Free Software Foundation.
*
* This code is distributed in the hope that it will be useful, but WITHOUT
* ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
* FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
* version 2 for more details (a copy is included in the LICENSE file that
* accompanied this code).
*
* You should have received a copy of the GNU General Public License version
* 2 along with this work; if not, write to the Free Software Foundation,
* Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA.
*
* Please contact Oracle, 500 Oracle Parkway, Redwood Shores, CA 94065 USA
* or visit www.oracle.com if you need additional information or have any
* questions.
*/
/*
* Written by Doug Lea with assistance from members of JCP JSR-166
* Expert Group and released to the public domain, as explained at
* http://creativecommons.org/publicdomain/zero/1.0/
*/
/* Adapted from Dougs CVS test/jsr166e/DoubleAdderDemo.java
*
* The demo is a micro-benchmark to compare synchronized access to a primitive
* double and DoubleAdder (run without any args), this restricted version simply
* exercises the basic functionality of DoubleAdder, suitable for automated
* testing (-shortrun).
*/
/*
* @test
* @bug 8005311
* @run main DoubleAdderDemo -shortrun
* @summary Basic test for Doubledder
*/
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
import java.util.concurrent.Phaser;
import java.util.concurrent.atomic.DoubleAdder;
public class DoubleAdderDemo {
static final int INCS_PER_THREAD = 10000000;
static final int NCPU = Runtime.getRuntime().availableProcessors();
static final int SHORT_RUN_MAX_THREADS = NCPU > 1 ? NCPU / 2 : 1;
static final int LONG_RUN_MAX_THREADS = NCPU * 2;
static final ExecutorService pool = Executors.newCachedThreadPool();
static final class SynchronizedDoubleAdder {
double value;
synchronized double sum() { return value; }
synchronized void add(double x) { value += x; }
}
public static void main(String[] args) {
boolean shortRun = args.length > 0 && args[0].equals("-shortrun");
int maxNumThreads = shortRun ? SHORT_RUN_MAX_THREADS : LONG_RUN_MAX_THREADS;
System.out.println("Warmup...");
int half = NCPU > 1 ? NCPU / 2 : 1;
if (!shortRun)
syncTest(half, 1000);
adderTest(half, 1000);
for (int reps = 0; reps < 2; ++reps) {
System.out.println("Running...");
for (int i = 1; i <= maxNumThreads; i <<= 1) {
if (!shortRun)
syncTest(i, INCS_PER_THREAD);
adderTest(i, INCS_PER_THREAD);
}
}
pool.shutdown();
}
static void syncTest(int nthreads, int incs) {
System.out.print("Synchronized ");
Phaser phaser = new Phaser(nthreads + 1);
SynchronizedDoubleAdder a = new SynchronizedDoubleAdder();
for (int i = 0; i < nthreads; ++i)
pool.execute(new SyncTask(a, phaser, incs));
report(nthreads, incs, timeTasks(phaser), a.sum());
}
static void adderTest(int nthreads, int incs) {
System.out.print("DoubleAdder ");
Phaser phaser = new Phaser(nthreads + 1);
DoubleAdder a = new DoubleAdder();
for (int i = 0; i < nthreads; ++i)
pool.execute(new AdderTask(a, phaser, incs));
report(nthreads, incs, timeTasks(phaser), a.sum());
}
static void report(int nthreads, int incs, long time, double sum) {
long total = (long)nthreads * incs;
if (sum != (double)total)
throw new Error(sum + " != " + total);
double secs = (double)time / (1000L * 1000 * 1000);
long rate = total * (1000L) / time;
System.out.printf("threads:%3d Time: %7.3fsec Incs per microsec: %4d\n",
nthreads, secs, rate);
}
static long timeTasks(Phaser phaser) {
phaser.arriveAndAwaitAdvance();
long start = System.nanoTime();
phaser.arriveAndAwaitAdvance();
phaser.arriveAndAwaitAdvance();
return System.nanoTime() - start;
}
static final class AdderTask implements Runnable {
final DoubleAdder adder;
final Phaser phaser;
final int incs;
volatile double result;
AdderTask(DoubleAdder adder, Phaser phaser, int incs) {
this.adder = adder;
this.phaser = phaser;
this.incs = incs;
}
public void run() {
phaser.arriveAndAwaitAdvance();
phaser.arriveAndAwaitAdvance();
DoubleAdder a = adder;
for (int i = 0; i < incs; ++i)
a.add(1.0);
result = a.sum();
phaser.arrive();
}
}
static final class SyncTask implements Runnable {
final SynchronizedDoubleAdder adder;
final Phaser phaser;
final int incs;
volatile double result;
SyncTask(SynchronizedDoubleAdder adder, Phaser phaser, int incs) {
this.adder = adder;
this.phaser = phaser;
this.incs = incs;
}
public void run() {
phaser.arriveAndAwaitAdvance();
phaser.arriveAndAwaitAdvance();
SynchronizedDoubleAdder a = adder;
for (int i = 0; i < incs; ++i)
a.add(1.0);
result = a.sum();
phaser.arrive();
}
}
}

@ -0,0 +1,158 @@
/*
* Copyright (c) 2013, Oracle and/or its affiliates. All rights reserved.
* DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER.
*
* This code is free software; you can redistribute it and/or modify it
* under the terms of the GNU General Public License version 2 only, as
* published by the Free Software Foundation.
*
* This code is distributed in the hope that it will be useful, but WITHOUT
* ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
* FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
* version 2 for more details (a copy is included in the LICENSE file that
* accompanied this code).
*
* You should have received a copy of the GNU General Public License version
* 2 along with this work; if not, write to the Free Software Foundation,
* Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA.
*
* Please contact Oracle, 500 Oracle Parkway, Redwood Shores, CA 94065 USA
* or visit www.oracle.com if you need additional information or have any
* questions.
*/
/*
* Written by Doug Lea with assistance from members of JCP JSR-166
* Expert Group and released to the public domain, as explained at
* http://creativecommons.org/publicdomain/zero/1.0/
*/
/* Adapted from Dougs CVS test/jsr166e/LongAdderDemo.java
*
* The demo is a micro-benchmark to compare AtomicLong and LongAdder (run
* without any args), this restricted version simply exercises the basic
* functionality of LongAdder, suitable for automated testing (-shortrun).
*/
/*
* @test
* @bug 8005311
* @run main LongAdderDemo -shortrun
* @summary Basic test for LongAdder
*/
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
import java.util.concurrent.Phaser;
import java.util.concurrent.atomic.AtomicLong;
import java.util.concurrent.atomic.LongAdder;
public class LongAdderDemo {
static final int INCS_PER_THREAD = 10000000;
static final int NCPU = Runtime.getRuntime().availableProcessors();
static final int SHORT_RUN_MAX_THREADS = NCPU > 1 ? NCPU / 2 : 1;
static final int LONG_RUN_MAX_THREADS = NCPU * 2;
static final ExecutorService pool = Executors.newCachedThreadPool();
public static void main(String[] args) {
boolean shortRun = args.length > 0 && args[0].equals("-shortrun");
int maxNumThreads = shortRun ? SHORT_RUN_MAX_THREADS : LONG_RUN_MAX_THREADS;
System.out.println("Warmup...");
int half = NCPU > 1 ? NCPU / 2 : 1;
if (!shortRun)
casTest(half, 1000);
adderTest(half, 1000);
for (int reps = 0; reps < 2; ++reps) {
System.out.println("Running...");
for (int i = 1; i <= maxNumThreads; i <<= 1) {
if (!shortRun)
casTest(i, INCS_PER_THREAD);
adderTest(i, INCS_PER_THREAD);
}
}
pool.shutdown();
}
static void casTest(int nthreads, int incs) {
System.out.print("AtomicLong ");
Phaser phaser = new Phaser(nthreads + 1);
AtomicLong a = new AtomicLong();
for (int i = 0; i < nthreads; ++i)
pool.execute(new CasTask(a, phaser, incs));
report(nthreads, incs, timeTasks(phaser), a.get());
}
static void adderTest(int nthreads, int incs) {
System.out.print("LongAdder ");
Phaser phaser = new Phaser(nthreads + 1);
LongAdder a = new LongAdder();
for (int i = 0; i < nthreads; ++i)
pool.execute(new AdderTask(a, phaser, incs));
report(nthreads, incs, timeTasks(phaser), a.sum());
}
static void report(int nthreads, int incs, long time, long sum) {
long total = (long)nthreads * incs;
if (sum != total)
throw new Error(sum + " != " + total);
double secs = (double)time / (1000L * 1000 * 1000);
long rate = total * (1000L) / time;
System.out.printf("threads:%3d Time: %7.3fsec Incs per microsec: %4d\n",
nthreads, secs, rate);
}
static long timeTasks(Phaser phaser) {
phaser.arriveAndAwaitAdvance();
long start = System.nanoTime();
phaser.arriveAndAwaitAdvance();
phaser.arriveAndAwaitAdvance();
return System.nanoTime() - start;
}
static final class AdderTask implements Runnable {
final LongAdder adder;
final Phaser phaser;
final int incs;
volatile long result;
AdderTask(LongAdder adder, Phaser phaser, int incs) {
this.adder = adder;
this.phaser = phaser;
this.incs = incs;
}
public void run() {
phaser.arriveAndAwaitAdvance();
phaser.arriveAndAwaitAdvance();
LongAdder a = adder;
for (int i = 0; i < incs; ++i)
a.increment();
result = a.sum();
phaser.arrive();
}
}
static final class CasTask implements Runnable {
final AtomicLong adder;
final Phaser phaser;
final int incs;
volatile long result;
CasTask(AtomicLong adder, Phaser phaser, int incs) {
this.adder = adder;
this.phaser = phaser;
this.incs = incs;
}
public void run() {
phaser.arriveAndAwaitAdvance();
phaser.arriveAndAwaitAdvance();
AtomicLong a = adder;
for (int i = 0; i < incs; ++i)
a.getAndIncrement();
result = a.get();
phaser.arrive();
}
}
}