Measuring execution time of a function in C++

问题:

I want to find out how much time a certain function takes in my C++ program to execute on Linux. Afterwards, I want to make a speed comparison . I saw several time function but ended up with this from boost. Chrono:

process_user_cpu_clock, captures user-CPU time spent by the current process

Now, I am not clear if I use the above function, will I get the only time which CPU spent on that function?

Secondly, I could not find any example of using the above function. Can any one please help me how to use the above function?

P.S: Right now , I am using std::chrono::system_clock::now() to get time in seconds but this gives me different results due to different CPU load every time.

回答1:

It is a very easy to use method in C++11. You have to use std::chrono::high_resolution_clock from <chrono> header.

Use it like so:

#include <iostream>
#include <chrono>

using namespace std;
using namespace std::chrono;

void function()
{
    long long number = 0;

    for( long long i = 0; i != 2000000; ++i )
    {
       number += 5;
    }
}

int main()
{
    high_resolution_clock::time_point t1 = high_resolution_clock::now();
    function();
    high_resolution_clock::time_point t2 = high_resolution_clock::now();

    auto duration = duration_cast<microseconds>( t2 - t1 ).count();

    cout << duration;
    return 0;
}

This will measure the duration of the function.

NOTE: It is not a requirement to get the same output always because the CPU of your machine can be less or more used by other processes running on your computer. As you would solve a math exercise, your mind can be more or less concentrated so you will solve that in different times. In the human mind, we can remember the solution of a math problem, though for a computer the same process will always be something new, so, as I Said, it is not required to get the same result always!

回答2:

Here\'s a function that will measure the execution time of any function passed as argument:

#include <chrono>
#include <utility>

typedef std::chrono::high_resolution_clock::time_point TimeVar;

#define duration(a) std::chrono::duration_cast<std::chrono::nanoseconds>(a).count()
#define timeNow() std::chrono::high_resolution_clock::now()

template<typename F, typename... Args>
double funcTime(F func, Args&&... args){
    TimeVar t1=timeNow();
    func(std::forward<Args>(args)...);
    return duration(timeNow()-t1);
}

Example usage:

#include <iostream>
#include <algorithm>

typedef std::string String;

//first test function doing something
int countCharInString(String s, char delim){
    int count=0;
    String::size_type pos = s.find_first_of(delim);
    while ((pos = s.find_first_of(delim, pos)) != String::npos){
        count++;pos++;
    }
    return count;
}

//second test function doing the same thing in different way
int countWithAlgorithm(String s, char delim){
    return std::count(s.begin(),s.end(),delim);
}


int main(){
    std::cout<<\"norm: \"<<funcTime(countCharInString,\"precision=10\",\'=\')<<\"\\n\";
    std::cout<<\"algo: \"<<funcTime(countWithAlgorithm,\"precision=10\",\'=\');
    return 0;
}

Output:

norm: 15555
algo: 2976

回答3:

simple program to find a function execution time taken.

#include <iostream>
#include <ctime> // time_t
#include <cstdio>

void function()
{
     for(long int i=0;i<1000000000;i++)
     {
        // do nothing
     }
}

int main()
{

time_t begin,end; // time_t is a datatype to store time values.

time (&begin); // note time before execution
function();
time (&end); // note time after execution

double difference = difftime (end,begin);
printf (\"time taken for function() %.2lf seconds.\\n\", difference );

return 0;
}

回答4:

Easy way for older C++, or C:

#include <time.h> // includes clock_t and CLOCKS_PER_SEC

int main() {

    clock_t start, end;

    start = clock();
    // ...code to measure...
    end = clock();

    double duration_sec = double(end-start)/CLOCKS_PER_SEC;
    return 0;
}

Timing precision in seconds is 1.0/CLOCKS_PER_SEC

回答5:

In Scott Meyers book I found an example of universal generic lambda expression that can be used to measure function execution time. (C++14)

auto timeFuncInvocation = 
    [](auto&& func, auto&&... params) {
        // get time before function invocation
        const auto& start = high_resolution_clock::now();
        // function invocation using perfect forwarding
        std::forward<decltype(func)>(func)(std::forward<decltype(params)>(params)...);
        // get time after function invocation
        const auto& stop = high_resolution_clock::now();
        return stop - start;
     };

The problem is that you are measure only one execution so the results can be very differ. To get a reliable result you should measure a large number of execution. According to Andrei Alexandrescu lecture at code::dive 2015 conference - Writing Fast Code I:

Measured time: tm = t + tq + tn + to

where:

tm - measured (observed) time

t - the actual time of interest

tq - time added by quantization noise

tn - time added by various sources of noise

to - overhead time (measuring, looping, calling functions)

According to what he said later in the lecture, you should take a minimum of this large number of execution as your result. I encourage you to look at the lecture in which he explains why.

Also there is a very good library from google - https://github.com/google/benchmark. This library is very simple to use and powerful. You can checkout some lectures of Chandler Carruth on youtube where he is using this library in practice. For example CppCon 2017: Chandler Carruth “Going Nowhere Faster”;

Example usage:

#include <iostream>
#include <chrono>
#include <vector>
auto timeFuncInvocation = 
    [](auto&& func, auto&&... params) {
        // get time before function invocation
        const auto& start = high_resolution_clock::now();
        // function invocation using perfect forwarding
        for(auto i = 0; i < 100000/*largeNumber*/; ++i) {
            std::forward<decltype(func)>(func)(std::forward<decltype(params)>(params)...);
        }
        // get time after function invocation
        const auto& stop = high_resolution_clock::now();
        return (stop - start)/100000/*largeNumber*/;
     };

void f(std::vector<int>& vec) {
    vec.push_back(1);
}

void f2(std::vector<int>& vec) {
    vec.emplace_back(1);
}
int main()
{
    std::vector<int> vec;
    std::vector<int> vec2;
    std::cout << timeFuncInvocation(f, vec).count() << std::endl;
    std::cout << timeFuncInvocation(f2, vec2).count() << std::endl;
    std::vector<int> vec3;
    vec3.reserve(100000);
    std::vector<int> vec4;
    vec4.reserve(100000);
    std::cout << timeFuncInvocation(f, vec3).count() << std::endl;
    std::cout << timeFuncInvocation(f2, vec4).count() << std::endl;
    return 0;
}

EDIT: Ofcourse you always need to remember that your compiler can optimize something out or not. Tools like perf can be useful in such cases.

回答6:

Here is an excellent header only class template to measure the elapsed time of a function or any code block:

#ifndef EXECUTION_TIMER_H
#define EXECUTION_TIMER_H

template<class Resolution = std::chrono::milliseconds>
class ExecutionTimer {
public:
    using Clock = std::conditional_t<std::chrono::high_resolution_clock::is_steady,
                                     std::chrono::high_resolution_clock,
                                     std::chrono::steady_clock>;
private:
    const Clock::time_point mStart = Clock::now();

public:
    ExecutionTimer() = default;
    ~ExecutionTimer() {
        const auto end = Clock::now();
        std::ostringstream strStream;
        strStream << \"Destructor Elapsed: \"
                  << std::chrono::duration_cast<Resolution>( end - mStart ).count()
                  << std::endl;
        std::cout << strStream.str() << std::endl;
    }    

    inline void stop() {
        const auto end = Clock::now();
        std::ostringstream strStream;
        strStream << \"Stop Elapsed: \"
                  << std::chrono::duration_cast<Resolution>(end - mStart).count()
                  << std::endl;
        std::cout << strStream.str() << std::endl;
    }

}; // ExecutionTimer

#endif // EXECUTION_TIMER_H

Here are some uses of it:

int main() {
    { // empty scope to display ExecutionTimer\'s destructor\'s message
         // displayed in milliseconds
         ExecutionTimer<std::chrono::milliseconds> timer;

         // function or code block here

         timer.stop();

    } 

    { // same as above
        ExecutionTimer<std::chrono::microseconds> timer;

        // code block here...

        timer.stop();
    }

    {  // same as above
       ExecutionTimer<std::chrono::nanoseconds> timer;

       // code block here...

       timer.stop();

    }

    {  // same as above
       ExecutionTimer<std::chrono::seconds> timer;

       // code block here...

       timer.stop();

    }              

    return 0;
}

Since the class is a template we can specify real easily in how we want our time to be measured & displayed. This is a very handy utility class template for doing bench marking and is very easy to use.

回答7:

• It is a very easy to use method in C++11.
• We can use std::chrono::high_resolution_clock from header
• We can write a method to print the method execution time in a much readable form.

For example, to find the all the prime numbers between 1 and 100 million, it takes approximately 1 minute and 40 seconds. So the execution time get printed as:

Execution Time: 1 Minutes, 40 Seconds, 715 MicroSeconds, 715000 NanoSeconds

The code is here:

#include <iostream>
#include <chrono>

using namespace std;
using namespace std::chrono;

typedef high_resolution_clock Clock;
typedef Clock::time_point ClockTime;

void findPrime(long n, string file);
void printExecutionTime(ClockTime start_time, ClockTime end_time);

int main()
{
    long n = long(1E+8);  // N = 100 million

    ClockTime start_time = Clock::now();

    // Write all the prime numbers from 1 to N to the file \"prime.txt\"
    findPrime(n, \"C:\\\\prime.txt\"); 

    ClockTime end_time = Clock::now();

    printExecutionTime(start_time, end_time);
}

void printExecutionTime(ClockTime start_time, ClockTime end_time)
{
    auto execution_time_ns = duration_cast<nanoseconds>(end_time - start_time).count();
    auto execution_time_ms = duration_cast<microseconds>(end_time - start_time).count();
    auto execution_time_sec = duration_cast<seconds>(end_time - start_time).count();
    auto execution_time_min = duration_cast<minutes>(end_time - start_time).count();
    auto execution_time_hour = duration_cast<hours>(end_time - start_time).count();

    cout << \"\\nExecution Time: \";
    if(execution_time_hour > 0)
    cout << \"\" << execution_time_hour << \" Hours, \";
    if(execution_time_min > 0)
    cout << \"\" << execution_time_min % 60 << \" Minutes, \";
    if(execution_time_sec > 0)
    cout << \"\" << execution_time_sec % 60 << \" Seconds, \";
    if(execution_time_ms > 0)
    cout << \"\" << execution_time_ms % long(1E+3) << \" MicroSeconds, \";
    if(execution_time_ns > 0)
    cout << \"\" << execution_time_ns % long(1E+6) << \" NanoSeconds, \";
}