Dimensional Data

A concurrency support library is designed to solve problems in modern C++ that arise with multi-thread development. This library includes built-in support for threads (std::thread), atomic operations (std::atomic), mutual exclusion (std::mutex), condition variables (std::condition_variable), and many other features. In C++14, in addition to mutex, there is a shared_mutex which is an instance of the class located in header. In this post, we explain using shared mutexes locking in Modern C++. What is a mutex (mutual exclusion) in C++? Mutual Exclusion is a property of concurrency control and in programming, the Mutual Exclusion is a data exclusion method to lock and unlock data that provides exclusive access to a resource. This is mostly needed when we use shared data in multi-thread and multi-task operations in parallel programming. In C++, we can use std::mutex to define mutex data variables to protect his shared data from being simultaneously accessed by multiple threads. Here is an example of how we can use std::mutex with its lock() and unlock() methods,   std::mutex mtx;   mtx.lock();   // do operations mtx.unlock();   What is a shared mutex in modern C++? The shared mutex comes with C++14, it is an instance of the class located in header and used with the shared_mutex class name in mutual exclusion operations of threads. The shared_mutex class is a part of the thread support library, it is a synchronization primitive for the thread operations that can be used to protect shared data when multiple threads try to access. Here is how we can define a shared mutex by using std::shared_mutex.   std::shared_mutex ;   Is there an example about shared mutexes (std::shared mutex)? Here is a simple example about std::shared_mutex with its try_lock_shared() and unlock_shared() methods that comes with C++17.   std::shared_mutex sharedmutex;   // in a thread function sharedmutex.try_lock_shared(); // do operations sharedmutex.unlock_shared();   How to use shared lock unlock mutexes methods? A shared_mutex has lock() and unlock() methods as in mutex type, In C++17, it is improved and supports the additional methods lock_shared, unlock_shared, and try_lock_shared. Simply these are: lock_shared (C++17) The lock_shared method is used to block the calling thread until the thread obtains shared ownership of the mutex. unlock_shared (C++17) The unlock_shared method is used to release shared ownership of the mutex held by the calling thread. try_lock_shared (C++17) The try_lock_shared method is used to obtain shared ownership of the mutex without blocking. Return type is can be  true if the method obtains ownership, or false if it cannot. Is there a full example of how to use shared mutexes (std::shared mutex) in C++? Let’s assume that we have a global val and we read data by a getv() and we write data by putv() functions, and we run these functions in threads. Here is a full and simple example about shared mutexes (std::shared mutex). 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43   #include #include #include #include   std::shared_mutex sharedmutex;   int val=500;   void putv( int v ) {   sharedmutex.lock();   std::this_thread::sleep_for(std::chrono::microseconds(2));  //some latency simulation val = v;   sharedmutex.unlock(); }   void getv( int &v ) {   sharedmutex.lock_shared();   std::this_thread::sleep_for(std::chrono::microseconds(2));  // some latency simulation   v = val;   sharedmutex.unlock_shared(); }     int main() {   int readval;   std::thread t1( getv , std::ref( readval ) );   std::thread t2( putv , 100); […]

Containers are powerful data storage arrays in modern C++ and they are very useful to iterate and search data with their amazing methods and properties. The C++ Standards library defines 4 container types. In this post, we explain containers in modern C++. What is a container in modern C++? Containers are modern data storage arrays in modern C++ and they are very useful to iterate and search data with their amazing methods and properties. A container is a holder object that stores data elements (a collection of data objects). They are implemented as a class template to define objects that can be used with modern rules of C++ (The rule of 6), they allow great flexibility in the different data types supported as elements, they can be used with int, float, double, etc. or with struct types, they can be used with other modern types of C++, lambdas and templates. Thus, the developer can create different data sets in memory, these can be static or dynamic, they are safe and optimized well. Basically, a container manages the storage space for its elements and provides properties and methods to access and operate on them, these methods and properties can be either directly or through iterators. They are mostly dynamic data structures, and they are well optimized for the memory management and performance. In C++, there are four main types of containers, Sequence Containers (vectors, arrays, …) Associative Containers (maps, sets, …) Unordered Associative Containers (unordered_set, unordered_map, …) Container Adapters (stack, queue, priority_queue) Now, let’s see each of them. What are sequence containers in modern C++? In C++, the Sequence Containers are class templates of container types of modern C++ that can be used to implement data structure types (vector, array,…) where they can be accessed sequentially. They are a kind of data types, but objects of classes and they can use methods of its classes, optimized for many modern C++ algorithms and methods. The sequence containers are; std::array : a class template for the static contiguous array (modern C array) std::vector : a class template for the dynamic contiguous array ( modern dynamic C arrays) std::deque : a class template for the double-ended queue std::list : a class template for the doubly-linked list (modern linked list) std::forward_list : a class template for the singly-linked list (modern linked list) What are sequence containers in modern C++? Associative Containers are class templates of container types that can be used to implement sorted data structures where can be quickly searched. They are sorted by keys. We can say they are about O(log n) complexity data structures. The associative containers are; std::map : a class template for the collection of key-value pairs, its keys are unique and it is sorted by keys std::set : a class template for the collection of unique keys, it is sorted by keys  multiset : a class template for the collection of keys, it is sorted by keys multimap : a class template for the collection of key-value pairs, it is sorted by keys  What are associative containers in modern C++? Unordered Associative Containers are class templates of container types that can be used to implement unsorted (hashed) data structures where they can be quickly searched. They are about O(1) amortized, O(n) worst-case complexity data structures. The unsorted associative containers are; unordered_set : a class template for […]

The concurrency support library in modern C++ is designed to solve read and write data securely in thread operations that allow us to develop faster multi-thread apps. This library includes built-in support for threads (std::thread), atomic operations (std::atomic), mutual exclusion (std::mutex), condition variables (std::condition_variable), and many other features. In C++14, in addition to mutex, there is a shared mutex (std::shared_mutex) which is an instance of the class located in header. In this post, we explain a frequently asked mutex question in modern C++, what are the differences between mutex and shared_mutex? What is a mutex (std::shared_mutex) in C++? Mutual Exclusion is a property of concurrency control and in programming, the Mutual Exclusion is a data exclusion method to lock and unlock data that provides exclusive access to a resource. This is mostly needed when we use shared data in multi-thread and multi-task operations in parallel programming. In C++, we can use std::mutex to define mutex data variables to protect his shared data from being simultaneously accessed by multiple threads. Here is an example of how we can use std::mutex with its lock() and unlock() methods,   std::mutex mtx;   mtx.lock();   // do operations mtx.unlock();   Here are more details and examples about std::mutex. What is a shared mutex (std::shared_mutex) in C++? The shared mutex comes with C++14, it is an instance of the class located in header and used with the shared_mutex class name in mutual exclusion operations of threads. The shared_mutex class is a part of the thread support library. It is a synchronization primitive for the thread operations that can be used to protect shared data when multiple threads try to access. Here is a simple example about std::shared_mutex with its try_lock_shared() and unlock_shared() methods that comes with C++17.   std::shared_mutex sharedmutex;   // in a thread function sharedmutex.try_lock_shared(); // do operations sharedmutex.unlock_shared();   Here are more details and a full example about shared_mutex. ———- LINK TO Learn About Useful Shared Mutexes Locking In Modern C++ —————— What are the differences between std::mutex and std::shared_mutex? While the std::mutex guarantees exclusive access to some kind of critical resource, the shared_mutex class extends this feature by a shared and exclusive level of accesses. The shared_mutex can be used in exclusive access level to prevent access of any other thread from acquiring the mutex, as in std::mutex. No matter if the other thread is trying to acquire shared or exclusive access. The shared_mutex can be used in the shared access level to allow multiple threads to acquire the mutex, but all of them are only in shared mode. In thread operations, exclusive access is not granted until all of the previously shared holders have returned the mutex. As long as an exclusive request is waiting, new shared ones are queued to be granted after the exclusive access. For more information about shared mutex feature, please see https://open-std.org/JTC1/SC22/WG21/docs/papers/2013/n3659.html C++ Builder is the easiest and fastest C and C++ IDE for building simple or professional applications on the Windows, MacOS, iOS & Android operating systems. It is also easy for beginners to learn with its wide range of samples, tutorials, help files, and LSP support for code. RAD Studio’s C++ Builder version comes with the award-winning VCL framework for high-performance native Windows apps and the powerful FireMonkey (FMX) framework for cross-platform UIs. There is a free C++ Builder Community Edition for students, beginners, and startups; it can be downloaded from here. For professional developers, there are Professional, Architect, […]