Overview of Open MP(Open Multi-Processing) in Parallel and Distributed Programming Frameworks скачать в хорошем качестве

Overview of Open MP(Open Multi-Processing) in Parallel and Distributed Programming Frameworks

OpenMP (Open Multi-Processing) is an API that enables shared-memory parallel programming using compiler directives, runtime routines, and environment variables. It follows the fork–join model, where a master thread creates multiple worker threads to execute code concurrently and then rejoins into a single thread. OpenMP simplifies parallel programming, efficiently uses multicore processors, and supports incremental parallelization of existing programs. Its memory model provides a common shared address space with shared variables for communication and private variables for each thread. Synchronization mechanisms such as critical sections, atomic operations, barriers, and locks prevent race conditions and ensure correctness. OpenMP is widely applied in scientific simulations, matrix computations, image processing, machine learning preprocessing and engineering applications.