Android OpenCV并行化循环 [英] Android OpenCV parallelize loops

问题描述

我知道NDK中包含OpenMP(此处使用示例: http ://recursify.com/blog/2013/08/09/openmp-on-android ).我已经完成了该页面上的说明，但是当我在简单的for循环上使用 #pragma omp for 扫描矢量时，应用程序崩溃，并出现了著名的致命信号11".

我在这里想念什么?顺便说一句，我使用了一个来自Android示例的修改示例，它是Tutorial 2 Mixed Processing.我想要的是使用OpenCV并行化(多线程)一些jni c ++文件中的for循环和嵌套的for循环.

感谢您的帮助/建议！

添加了示例代码:

#pragma omp parallel for
Mat tmp(iheight, iwidth, CV_8UC1);
for (int x = 0; x < iheight; x++) {
    for (int y = 0; y < iwidth; y++) {
        int value = (int) buffer[x * iwidth + y];
        tmp.at<uchar>(x, y) = value;
    }
}

基于此: http://www. slideshare.net/noritsuna/如何在本地活动中使用openmp 谢谢！

解决方案

我认为这是GOMP中的已知问题，请参见臭虫52738 .
如果您尝试在非主线程上使用OpenMP指令或函数，则应用程序将崩溃，并且可以追溯到gomp_thread()函数(请参见在这里，您可以阅读有关Android TLS的相同答案.

GOMP创建工作线程时，会在函数gomp_thread_start()(第72行)中设置线程特定的数据:

#ifdef HAVE_TLS
    thr = &gomp_tls_data;
#else
    struct gomp_thread local_thr;
    thr = &local_thr;
    pthread_setspecific (gomp_tls_key, thr);
#endif

但是，当应用程序独立创建线程时，未设置线程特定的数据，因此gomp_thread()函数将返回NULL.这会导致崩溃，并且在支持TLS的情况下这不是问题，因为使用的全局变量将始终可用

我记得这个问题已得到解决，android-ndk-r10d，但仅适用于后台进程(无Java).这意味着当您启用OpenMP并从JNI(从Java Android调用)创建本地线程时，您的应用程序将崩溃.

I know that OpenMP is included in NDK (usage example here: http://recursify.com/blog/2013/08/09/openmp-on-android ). I've done what it says on that page but when I use: #pragma omp for on a simple for loop that scans a vector, the app crashes with the famous "fatal signal 11".

What am I missing here? Btw I use a modified example from the Android samples, it's Tutorial 2 Mixed Processing. All I want is to parallelize (multithread) some of the for loops and nested for loops that I have in the jni c++ file while using OpenCV.

Any help/suggestion is appreciated!

Edit: sample code added:

#pragma omp parallel for
Mat tmp(iheight, iwidth, CV_8UC1);
for (int x = 0; x < iheight; x++) {
    for (int y = 0; y < iwidth; y++) {
        int value = (int) buffer[x * iwidth + y];
        tmp.at<uchar>(x, y) = value;
    }
}

Based on this: http://www.slideshare.net/noritsuna/how-to-use-openmp-on-native-activity Thanks!

解决方案

I think this is a known issue in GOMP, see Bug 42616 and Bug 52738.
It's about your app will crash if you try to use OpenMP directives or functions on a non-main thread, and can be traced back to the gomp_thread() function (see libgomp/libgomp.h @ line 362 and 368) which returns NULL for threads you create:

#ifdef HAVE_TLS
    extern __thread struct gomp_thread gomp_tls_data;
    static inline struct gomp_thread *gomp_thread (void)
    {
      return &gomp_tls_data;
    }
#else
    extern pthread_key_t gomp_tls_key;
    static inline struct gomp_thread *gomp_thread (void)
    {
      return pthread_getspecific (gomp_tls_key);
    }
#endif

As you can see GOMP uses different implementation depending on whether or not thread-local storage (TLS) is available.

• If it is available, then HAVE_TLS flag is set, and a global variable is used to track the state of each thread,
• Otherwise, thread-local data will be managed via the function pthread_setspecific.

In the earlier version of NDKs the thread-local storage (the __thread keyword) isn't supported so HAVE_TLS won't be defined, therefore pthread_setspecific will be used.
Remark: I'm not sure whether __thread is supported or not in the last version of NDK, but here you can read the same answers about Android TLS.

When GOMP creates a worker thread, it sets up the thread specific data in the function gomp_thread_start() (line 72):

#ifdef HAVE_TLS
    thr = &gomp_tls_data;
#else
    struct gomp_thread local_thr;
    thr = &local_thr;
    pthread_setspecific (gomp_tls_key, thr);
#endif

But, when the application creates a thread independently, the thread specific data isn't set, and so the gomp_thread() function returns NULL. This causes the crash and this isn't a problem when TLS is supported, since the global variable that's used will always be available

I remember that this issue had been fixed android-ndk-r10d, but it only works with background processes (no Java). It means when you enable OpenMP and create a native thread from JNI (what is called from Java Android) then your app will crash remains.

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