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c++ - 我可以报告 openmp 任务的进度吗?

转载 作者:可可西里 更新时间:2023-11-01 15:54:53 33 4
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想象一个经典的 OMP 任务:

  • 对 [0.0, 1.0) 范围内的大型 double vector 求和

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using namespace std;

int main() {
vector<double> v;

// generate some data
generate_n(back_inserter(v), 1ul << 18,
bind(uniform_real_distribution<double>(0,1.0), default_random_engine { random_device {}() }));

long double sum = 0;

{
#pragma omp parallel for reduction(+:sum)
for(size_t i = 0; i < v.size(); i++)
{
sum += v[i];
}
}
std::cout << "Done: sum = " << sum << "\n";
}

我很难想出如何报告进度。毕竟,OMP 正在为我处理所有团队线程之间的协调,而我没有一 block 全局状态。

我可能会使用常规的 std::thread 并从那里观察一些共享变量,但是没有更“omp-ish”的方法来实现这一点吗?

最佳答案

在没有 native 原子支持(甚至有它们)的处理器上使用 #pragma omp atomic,正如此处其他答案所建议的那样,可以减慢您的程序。

进度指示器的想法是让用户知道什么时候完成。想法。如果您的目标是加上/减去总运行时间的一小部分,用户就不会太在意。也就是说,用户希望事情尽快完成,但以更准确地知道事情何时结束为代价。

出于这个原因,我通常只跟踪单个线程的进度并用它来估计总进度。这适用于每个线程具有相似工作负载的情况。由于您正在使用 #pragma omp parallel for,您可能会处理一系列没有相互依赖性的相似元素,因此我的假设可能对您的用例有效。

我已将此逻辑包装在类 ProgressBar 中,我通常将其包含在头文件中,连同它的辅助类 Timer。该类使用 ANSI 控制信号来保持美观。

输出看起来像这样:

[======                                            ] (12% - 22.0s - 4 threads)

通过声明 -DNOPROGRESS 编译标志,让编译器消除进度条的所有开销也很容易。

代码和示例用法如下:

#include <iostream>
#include <chrono>
#include <thread>
#include <iomanip>
#include <stdexcept>

#ifdef _OPENMP
///Multi-threading - yay!
#include <omp.h>
#else
///Macros used to disguise the fact that we do not have multithreading enabled.
#define omp_get_thread_num() 0
#define omp_get_num_threads() 1
#endif


///@brief Used to time how intervals in code.
///
///Such as how long it takes a given function to run, or how long I/O has taken.
class Timer{
private:
typedef std::chrono::high_resolution_clock clock;
typedef std::chrono::duration<double, std::ratio<1> > second;

std::chrono::time_point<clock> start_time; ///< Last time the timer was started
double accumulated_time; ///< Accumulated running time since creation
bool running; ///< True when the timer is running

public:
Timer(){
accumulated_time = 0;
running = false;
}

///Start the timer. Throws an exception if timer was already running.
void start(){
if(running)
throw std::runtime_error("Timer was already started!");
running=true;
start_time = clock::now();
}

///Stop the timer. Throws an exception if timer was already stopped.
///Calling this adds to the timer's accumulated time.
///@return The accumulated time in seconds.
double stop(){
if(!running)
throw std::runtime_error("Timer was already stopped!");

accumulated_time += lap();
running = false;

return accumulated_time;
}

///Returns the timer's accumulated time. Throws an exception if the timer is
///running.
double accumulated(){
if(running)
throw std::runtime_error("Timer is still running!");
return accumulated_time;
}

///Returns the time between when the timer was started and the current
///moment. Throws an exception if the timer is not running.
double lap(){
if(!running)
throw std::runtime_error("Timer was not started!");
return std::chrono::duration_cast<second> (clock::now() - start_time).count();
}

///Stops the timer and resets its accumulated time. No exceptions are thrown
///ever.
void reset(){
accumulated_time = 0;
running = false;
}
};


///@brief Manages a console-based progress bar to keep the user entertained.
///
///Defining the global `NOPROGRESS` will
///disable all progress operations, potentially speeding up a program. The look
///of the progress bar is shown in ProgressBar.hpp.
class ProgressBar{
private:
uint32_t total_work; ///< Total work to be accomplished
uint32_t next_update; ///< Next point to update the visible progress bar
uint32_t call_diff; ///< Interval between updates in work units
uint32_t work_done;
uint16_t old_percent; ///< Old percentage value (aka: should we update the progress bar) TODO: Maybe that we do not need this
Timer timer; ///< Used for generating ETA

///Clear current line on console so a new progress bar can be written
void clearConsoleLine() const {
std::cerr<<"\r\033[2K"<<std::flush;
}

public:
///@brief Start/reset the progress bar.
///@param total_work The amount of work to be completed, usually specified in cells.
void start(uint32_t total_work){
timer = Timer();
timer.start();
this->total_work = total_work;
next_update = 0;
call_diff = total_work/200;
old_percent = 0;
work_done = 0;
clearConsoleLine();
}

///@brief Update the visible progress bar, but only if enough work has been done.
///
///Define the global `NOPROGRESS` flag to prevent this from having an
///effect. Doing so may speed up the program's execution.
void update(uint32_t work_done0){
//Provide simple way of optimizing out progress updates
#ifdef NOPROGRESS
return;
#endif

//Quick return if this isn't the main thread
if(omp_get_thread_num()!=0)
return;

//Update the amount of work done
work_done = work_done0;

//Quick return if insufficient progress has occurred
if(work_done<next_update)
return;

//Update the next time at which we'll do the expensive update stuff
next_update += call_diff;

//Use a uint16_t because using a uint8_t will cause the result to print as a
//character instead of a number
uint16_t percent = (uint8_t)(work_done*omp_get_num_threads()*100/total_work);

//Handle overflows
if(percent>100)
percent=100;

//In the case that there has been no update (which should never be the case,
//actually), skip the expensive screen print
if(percent==old_percent)
return;

//Update old_percent accordingly
old_percent=percent;

//Print an update string which looks like this:
// [================================================ ] (96% - 1.0s - 4 threads)
std::cerr<<"\r\033[2K["
<<std::string(percent/2, '=')<<std::string(50-percent/2, ' ')
<<"] ("
<<percent<<"% - "
<<std::fixed<<std::setprecision(1)<<timer.lap()/percent*(100-percent)
<<"s - "
<<omp_get_num_threads()<< " threads)"<<std::flush;
}

///Increment by one the work done and update the progress bar
ProgressBar& operator++(){
//Quick return if this isn't the main thread
if(omp_get_thread_num()!=0)
return *this;

work_done++;
update(work_done);
return *this;
}

///Stop the progress bar. Throws an exception if it wasn't started.
///@return The number of seconds the progress bar was running.
double stop(){
clearConsoleLine();

timer.stop();
return timer.accumulated();
}

///@return Return the time the progress bar ran for.
double time_it_took(){
return timer.accumulated();
}

uint32_t cellsProcessed() const {
return work_done;
}
};

int main(){
ProgressBar pg;
pg.start(100);
//You should use 'default(none)' by default: be specific about what you're
//sharing
#pragma omp parallel for default(none) schedule(static) shared(pg)
for(int i=0;i<100;i++){
pg.update(i);
std::this_thread::sleep_for(std::chrono::seconds(1));
}
}

关于c++ - 我可以报告 openmp 任务的进度吗?,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/28050669/

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