IntStream导致数组元素被错误设置为0(JVM Bug,Java11)

IntStream leads to array elements being wrongly set to 0 (JVM Bug, Java 11)

在下面的classP中,方法test似乎return完全相同false:

import java.util.function.IntPredicate;
import java.util.stream.IntStream;

public class P implements IntPredicate {
    private final static int SIZE = 33;

    @Override
    public boolean test(int seed) {
        int[] state = new int[SIZE];
        state[0] = seed;
        for (int i = 1; i < SIZE; i++) {
            state[i] = state[i - 1];
        }
        return seed != state[SIZE - 1];
    }

    public static void main(String[] args) {
        long count = IntStream.range(0, 0x0010_0000).filter(new P()).count();
        System.out.println(count);
    }
}

将 class PIntStream 组合,然而,方法 test 可以(错误地)return true。 上面 main 方法中的代码会产生一些正整数,例如 716208。 每次执行后结果都会改变。

意外行为 的发生是因为 int 数组 state[] 可以在执行期间设置为零。 如果是测试代码,比如

if (seed == 0xf_fff0){
    System.out.println(Arrays.toString(state));
} 

被插入到方法test的尾部,那么程序会输出这样一行[1048560, 1048560, 1048560, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0].

问题:为什么int数组state[]可以置零?

我已经知道如何避免这种行为:只需将 int[] 替换为 ArrayList

我检查了:

可以用一个更简单的例子重现这个问题,即:

class Main {
    private final static int SIZE = 33;

    public static boolean test2(int seed) {
        int[] state = new int[SIZE];
        state[0] = seed;
        for (int i = 1; i < SIZE; i++) {
            state[i] = state[i - 1];
        }
        return seed != state[SIZE - 1];
    }

    public static void main(String[] args) {
        long count = IntStream.range(0, 0x0010_0000).filter(Main::test2).count();
        System.out.println(count);

    }
}

问题是由允许向量化 (SIMD) 循环的 JVM 优化标志引起的(-XX:+AllowVectorizeOnDemand)。可能是由于对具有相交范围( state[i] = state[i - 1];)的同一数组应用矢量化而引起的。如果 JVM 会(对于 IntStream.range(0, 0x0010_0000) 的某些元素)优化循环,则可能会重现类似的问题:

   for (int i = 1; i < SIZE; i++)
       state[i] = state[i - 1];

进入:

    System.arraycopy(state, 0, state, 1, SIZE - 1);

例如:

class Main {
    private final static int SIZE = 33;

    public static boolean test2(int seed) {
        int[] state = new int[SIZE];
        state[0] = seed;
        System.arraycopy(state, 0, state, 1, SIZE - 1);
        if(seed == 100)
           System.out.println(Arrays.toString(state));
        return seed != state[SIZE - 1];
    }

    public static void main(String[] args) {
        long count = IntStream.range(0, 0x0010_0000).filter(Main::test2).count();
        System.out.println(count);
    }
}

输出:

[100, 100, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]

最新更新:2021 年 1 月 1 日

我已经向参与该标志 implementation/integration 的开发人员之一发送了一封电子邮件 -XX:+AllowVectorizeOnDemandand 收到了以下回复:

It is known that part of AllowVectorizeOnDemand code is broken.

There was fix (it excluded executing broken code which does incorrect vectorization) which was backported into jdk 11.0.11:

https://hg.openjdk.java.net/jdk-updates/jdk11u-dev/rev/69dbdd271e04

If you can, try build and test latest OpenJDK11u from https://hg.openjdk.java.net/jdk-updates/jdk11u-dev/

从第一个link开始,可以读到以下内容:

@bug 8251994 @summary Test vectorization of Streams$RangeIntSpliterator::forEachRemaining @requires vm.compiler2.enabled & vm.compMode != "Xint"

@run main compiler.vectorization.TestForEachRem test1 @run main compiler.vectorization.TestForEachRem test2 @run main compiler.vectorization.TestForEachRem test3 @run main compiler.vectorization.TestForEachRem test4

从关于该错误的 JIRA story 的评论中,可以阅读:

I found the cause of the issue. To improve a chance to vectorize a loop, superword tries to hoist loads to the beginning of loop by replacing their memory input with corresponding (same memory slice) loop's memory Phi : http://hg.openjdk.java.net/jdk/jdk/file/8f73aeccb27c/src/hotspot/share/opto/superword.cpp#l471

Originally loads are ordered by corresponding stores on the same memory slice. But when they are hoisted they loose that ordering - nothing enforce the order. In test6 case the ordering is preserved (luckily?) after hoisting only when vector size is 32 bytes (avx2) but they become unordered with 16 (avx=0 or avx1) or 64 (avx512) bytes vectors. (...)

I have simple fix (use original loads ordering indexes) but looking on the code which causing the issue I see that it is bogus/incomplete - it does not help cases listed for JDK-8076284 changes:

https://mail.openjdk.java.net/pipermail/hotspot-compiler-dev/2015-April/017645.html

Using unrolling and cloning information to vectorize is interesting idea but as I see it is not complete. Even if pack_parallel() method is able created packs they are all removed by filter_packs() method. And additionally the above cases are vectorized without hoisting loads and pack_parallel - I verified it. That code is useless now and I will put it under flag to not run it. It needs more work to be useful. I reluctant to remove the code because may be in a future we will have time to invest into it.

这可能解释了为什么当我比较带有和不带有标志 -XX:+AllowVectorizeOnDemand 的版本的程序集时,我注意到带有标志的版本用于以下代码:

   for (int i = 1; i < SIZE; i++)
       state[i] = state[i - 1];

(我提取了一个名为 hotstop 的方法以方便在程序集中查找它),有:

00000001162bacf5: mov    %r8d,0x10(%rsi,%r10,4)
0x00000001162bacfa: mov    %r8d,0x14(%rsi,%r10,4)
0x00000001162bacff: mov    %r8d,0x18(%rsi,%r10,4)
0x00000001162bad04: mov    %r8d,0x1c(%rsi,%r10,4)
0x00000001162bad09: mov    %r8d,0x20(%rsi,%r10,4)
0x00000001162bad0e: mov    %r8d,0x24(%rsi,%r10,4)
0x00000001162bad13: mov    %r8d,0x28(%rsi,%r10,4)
0x00000001162bad18: mov    %r8d,0x2c(%rsi,%r10,4)  ;*iastore {reexecute=0 rethrow=0 return_oop=0}
                                             ; - AAAAAA.Main::hotstop@15 (line 21)

这在我看来像一个循环 unrolling,另一方面,方法 java.util.stream.Streams$RangeIntSpliterator::forEachRemaining 只出现在带有标志的版本的汇编中。