chrono | scheduler library that lets you run your task and code | Job Scheduling library

 by   procyon-projects Go Version: v1.1.2 License: MIT

kandi X-RAY | chrono Summary

kandi X-RAY | chrono Summary

chrono is a Go library typically used in Data Processing, Job Scheduling applications. chrono has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Chrono is a scheduler library that lets you run your tasks and code periodically. It provides different scheduling functionalities to make it easier to create a scheduling task.
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              chrono has a low active ecosystem.
              It has 391 star(s) with 19 fork(s). There are 5 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 5 open issues and 13 have been closed. On average issues are closed in 44 days. There are 3 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of chrono is v1.1.2

            kandi-Quality Quality

              chrono has no bugs reported.

            kandi-Security Security

              chrono has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              chrono is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              chrono releases are available to install and integrate.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
            Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of chrono
            Get all kandi verified functions for this library.

            chrono Key Features

            No Key Features are available at this moment for chrono.

            chrono Examples and Code Snippets

            No Code Snippets are available at this moment for chrono.

            Community Discussions

            QUESTION

            unexpected bug in conversion between std::chrono::duration with different Rep
            Asked 2021-Jun-11 at 16:35

            I noticed unexpected behaviour and narrowed it down to conversion from one duration to another.

            ...

            ANSWER

            Answered 2021-Jun-11 at 16:35

            On your platform, system_clock::time_point is a type alias for time_point. It turns out that this detail is important.

            When running the float version of this test, the very first step is convert b - a to duration to make the call to count_intervals. The type of b - a is nanoseconds. The value of b - a is 30'000'000'000ns.

            It takes 25 bits of precision to store the integer 30'000'000'000. IEEE float has 24 bits of precision.

            The first step in converting 30'000'000'000ns to duration is store the number 30'000'000'000 into the common_type of system_clock::rep and float which is float. It can only do this approximately. It actually stores 30'000'001'024, which is the best representable value under the "round toward nearest, and to even on tie" policy. It then divides this approximation by 1'000'000'000 (stored in a float), and gets approximately 30. The exact value it gets is 0x1.e00002p+4, or 30.000001...

            From here on out, the computation is slightly off from exact.

            You can see this for yourself by setting cout to hexfloat mode which will output floating point numbers exactly:

            Source https://stackoverflow.com/questions/67934871

            QUESTION

            OpenMP vectorised code runs way slower than O3 optimized code
            Asked 2021-Jun-11 at 14:46

            I have a minimally reproducible sample which is as follows -

            ...

            ANSWER

            Answered 2021-Jun-11 at 14:46

            The non-OpenMP vectorizer is defeating your benchmark with loop inversion.
            Make your function __attribute__((noinline, noclone)) to stop GCC from inlining it into the repeat loop. For cases like this with large enough functions that call/ret overhead is minor, and constant propagation isn't important, this is a pretty good way to make sure that the compiler doesn't hoist work out of the loop.

            And in future, check the asm, and/or make sure the benchmark time scales linearly with the iteration count. e.g. increasing 500 up to 1000 should give the same average time in a benchmark that's working properly, but it won't with -O3. (Although it's surprisingly close here, so that smell test doesn't definitively detect the problem!)

            After adding the missing #pragma omp simd to the code, yeah I can reproduce this. On i7-6700k Skylake (3.9GHz with DDR4-2666) with GCC 10.2 -O3 (without -march=native or -fopenmp), I get 18266, but with -O3 -fopenmp I get avg time 39772.

            With the OpenMP vectorized version, if I look at top while it runs, memory usage (RSS) is steady at 771 MiB. (As expected: init code faults in the two inputs, and the first iteration of the timed region writes to result, triggering page-faults for it, too.)

            But with the "normal" vectorizer (not OpenMP), I see the memory usage climb from ~500 MiB until it exits just as it reaches the max 770MiB.

            So it looks like gcc -O3 performed some kind of loop inversion after inlining and defeated the memory-bandwidth-intensive aspect of your benchmark loop, only touching each array element once.

            The asm shows the evidence: GCC 9.3 -O3 on Godbolt doesn't vectorize, and it leaves an empty inner loop instead of repeating the work.

            Source https://stackoverflow.com/questions/67937516

            QUESTION

            Optimize c++ Monte Carlo simulation with long dynamic arrays
            Asked 2021-Jun-10 at 13:17

            This is my first post here and I am not that experienced, so please excuse my ignorance.

            I am building a Monte Carlo simulation in C++ for my PhD and I need help in optimizing its computational time and performance. I have a 3d cube repeated in each coordinate as a simulation volume and inside every cube magnetic particles are generated in clusters. Then, in the central cube a loop of protons are created and move and at each step calculate the total magnetic field from all the particles (among other things) that they feel.

            At this moment I define everything inside the main function and because I need the position of the particles for my calculations (I calculate the distance between the particles during their placement and also during the proton movement), I store them in dynamic arrays. I haven't used any class or function,yet. This makes my simulations really slow because I have to use eventually millions of particles and thousands of protons. Even with hundreds it needs days. Also I use a lot of for and while loops and reading/writing to .dat files.

            I really need your help. I have spent weeks trying to optimize my code and my project is behind schedule. Do you have any suggestion? I need the arrays to store the position of the particles .Do you think classes or functions would be more efficient? Any advice in general is helpful. Sorry if that was too long but I am desperate...

            Ok, I edited my original post and I share my full script. I hope this will give you some insight regarding my simulation. Thank you.

            Additionally I add the two input files

            parametersDiffusion_spher_shel.txt

            parametersIONP_spher_shel.txt

            ...

            ANSWER

            Answered 2021-Jun-10 at 13:17

            I talked the problem in more steps, first thing I made the run reproducible:

            Source https://stackoverflow.com/questions/67905839

            QUESTION

            How can I make the C++ compiler support template for STL?
            Asked 2021-Jun-10 at 11:42

            I am trying to install hpctoolkit using Spack. In order to do that, I executed :

            ...

            ANSWER

            Answered 2021-Jun-10 at 11:42

            In order to fix this error, you should precise the path to g++. In my case, here is the updated content of my compilers.yaml file:

            Source https://stackoverflow.com/questions/67918033

            QUESTION

            Change version of gcc which does not support compiling C++ programs using the compilers.yaml file
            Asked 2021-Jun-10 at 07:14

            I am trying to install hpctoolkit using spack. In order to do that, I executed :

            ...

            ANSWER

            Answered 2021-Jun-09 at 12:34

            As you can see in the error, compiler 'gcc@10.2.0' does not support compiling C++ programs.

            In order to display the compilers, use the command:

            Source https://stackoverflow.com/questions/67899951

            QUESTION

            My code is realy slow and i need optimization problem
            Asked 2021-Jun-10 at 03:50
            #include 
            #include 
            using namespace std;
            int main()
            {
                const unsigned int m = 200;
                const unsigned int n = 200;
                srand(static_cast(static_cast
                >(std::chrono::high_resolution_clock::now().time_since_epoch()).count()));
                double** matrixa;
                double** matrixb;
                double** matrixc;
                matrixa = new double* [m];
                matrixb = new double* [m];
                matrixc = new double* [m];
                unsigned int max = static_cast(1u << 31);
                for (unsigned int i = 0; i < m; i++)
                    matrixa[i] = new double[n];
                for (unsigned int i = 0; i < m; i++)
                    matrixb[i] = new double[n];
                for (unsigned int i = 0; i < m; i++)
                    matrixc[i] = new double[n];
                for (unsigned int i = 0; i < m; i++)
                    for (unsigned int j = 0; j < n; j++)
                        matrixa[i]
                        [j] = static_cast(static_cast(rand()) / max * 10);
                for (unsigned int i = 0; i < m; i++)
                    for (unsigned int j = 0; j < n; j++)
                        matrixb[i]
                        [j] = static_cast(static_cast(rand()) / max * 10);
                auto start = std::chrono::high_resolution_clock::now();
                for (unsigned int i = 0; i < m; i++)
                    for (unsigned int j = 0; j < n; j++)
                        for (unsigned int k = 0; k < m; k++)
                            for (unsigned int l = 0; l < m; l++)
                                matrixc[i][j] += matrixa[k][l] * matrixb[l][k];
                auto stop = std::chrono::high_resolution_clock::now();
                std::chrono::duration time_diff = stop - start;
                cout << "Czas wykonania programu " << time_diff.count() << " sekund." <<
                    endl;
                for (unsigned int i = 0; i < m; i++)
                    delete[] matrixa[i];
                for (unsigned int i = 0; i < m; i++)
                    delete[] matrixb[i];
                for (unsigned int i = 0; i < m; i++)
                    delete[] matrixc[i];
                delete[] matrixa;
                delete[] matrixb;
                delete[] matrixc;
                return 0;
            }
            
            
            ...

            ANSWER

            Answered 2021-Jun-10 at 03:50

            Firstly, your matrix multiply algorithm is over complex than a normal one(Or it's just wrong), you may reference the wiki for a typical algorithm:

            Input: matrices A and B

            Let C be a new matrix of the appropriate size

            For i from 1 to n:

            For j from 1 to p:

            Let sum = 0

            For k from 1 to m:

            Set sum ← sum + Aik × Bkj

            Set Cij ← sum

            Return C

            There is a critical bug in your code, you haven't initialized the result matrix.

            So the fixed code may like this:

            Source https://stackoverflow.com/questions/67909632

            QUESTION

            How do I filter a vector of an enum of different structs using a common field?
            Asked 2021-Jun-09 at 18:36

            I found you can create a vector of different types of structs using an enum. When filtering the vector on a common field, such as id, the compiler doesn't know the type while iterating:

            ...

            ANSWER

            Answered 2021-Jun-09 at 17:51

            Those are not a common field, they are completely unrelated fields. The fact that they share a name is, as far as the Rust compiler is concerned, an insignificant coincidence. You need to use pattern matching to get the field from either case

            Source https://stackoverflow.com/questions/67909275

            QUESTION

            C++20 chrono parse problem in VS2019 (latest)
            Asked 2021-Jun-09 at 14:45

            I have a function that works under C++14 using the date.h library but I'm converting my program to use C++20 and it's no longer working. What am I doing wrong, please?

            My C++14/date.h code is as follows:

            ...

            ANSWER

            Answered 2021-Jun-09 at 14:45

            There's a bug in the spec that is in the process of being fixed. And VS2019 faithfully reproduced the spec. Wrap your format string in string{}, or give it a trailing s literal to turn it into a string, and this will work around the bug.

            Source https://stackoverflow.com/questions/67906096

            QUESTION

            CMake with ROS Package:Header files not detected
            Asked 2021-Jun-09 at 04:22

            I am trying to organise my code into a more OOP style with each class taking on its own header and cpp file. This is my tree in the package folder in the workspace

            ...

            ANSWER

            Answered 2021-Jun-09 at 02:37

            In essence you don't need to include either header into the other. This fixes the circular includes. In ROS_Topic_Thread.h, friend class Master_Thread; already forward declares Mater_Thread, so you don't need the Master_Thread.h header. In Master_Thread.h, you can also forward declare class ROS_Topic_Thread; before the declaration of the Master_Thread class, since you only use references to ROS_Topic_Thread in the transfer_to_master_buffer method.

            Source https://stackoverflow.com/questions/67884798

            QUESTION

            Reading parquet file is slower in c++ than in python
            Asked 2021-Jun-07 at 18:39

            I have written code to read the same parquet file using c++ and using python. The time taken to read the file is much less for python than in c++, but as generally we know, execution in c++ is faster than in python. I have attached the code here -

            ...

            ANSWER

            Answered 2021-Jun-06 at 06:53

            It is likely that the Python module is bound to functions compiled in a language such as c++ or using cython. The implementation of the python module may thus have better performance, depending on how it reads from the file or processes data.

            Source https://stackoverflow.com/questions/67856457

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install chrono

            You can download it from GitHub.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
            Find more information at:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries
            CLONE
          • HTTPS

            https://github.com/procyon-projects/chrono.git

          • CLI

            gh repo clone procyon-projects/chrono

          • sshUrl

            git@github.com:procyon-projects/chrono.git

          • Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link

            Explore Related Topics

            Consider Popular Job Scheduling Libraries

            Try Top Libraries by procyon-projects

            procyon

            by procyon-projectsGo

            goo

            by procyon-projectsGo

            logy

            by procyon-projectsGo

            markers

            by procyon-projectsGo

            procyon-test-app

            by procyon-projectsGo