• OpenMP is a portable, threaded, shared-memory programming specification with “light”syntax • Exact behavior depends on OpenMP implementation! OpenMP is an Application Program Interface (API), jointly defined by a group of major computer hardware and software vendors. Developer Guide and Reference. The API supports C/C++ and Fortran on a wide variety of architectures. n25 slots=8 n32 slots=8 n48 slots=8 n50 slots=8 The primary intent of parallel programming is to decrease execution wall clock time, however in order to accomplish this, more CPU time is required. The directives allow the user to mark areas of the code, such as do, while or for loops, which are suitable for parallel processing. It consists of a set of compiler directives, library routines, and environment variables that influence run-time behavior. OpenMP provides a portable, scalable model for developers of shared memory parallel applications. Visual Studio 2010 solution, Microsoft MPI, Intel Compiler with /Qopenmp. For example, a parallel code that runs in 1 hour on 8 processors actually uses 8 hours of CPU time. OPENMP is a directory of FORTRAN77 examples which illustrate the use of the OpenMP application program interface for carrying out parallel computations in a shared memory environment.. Portal parallel programming – MPI example Works on any computers Compile with MPI compiler wrapper: $ mpicc foo.c Run on 32 CPUs across 4 physical computers: $ mpirun ­n 32 ­machinefile mach ./foo 'mach' is a file listing the computers the program will run on, e.g. • openmp.org – Talks, examples, forums, etc. After some research, it was clear that OpenMP is what I was looking for. It supports C++ through GCC and can be easily enabled by using the pragma omp directives when needed. OpenMP API specification for parallel programming provides an application programming interface (API) that supports multi-platform shared memory multiprocessing programming in C, C++, and Fortran, on most platforms. Intel® C++ Compiler 19.1 Developer Guide and Reference. The best part is that it can parallelize the for-loop with very minimal changes to the original code. Version: 19.1 Last Updated: 07/15/2020 Public Content Download as PDF OpenMP and Parallel Programming. These labs will help you to understand C++ parallel programming with MPI and OpenMP. Parallel Programming in C with MPI and OpenMP Michael J. Quinn Chapter 3 Parallel Algorithm Design Outline Task/channel model Algorithm design methodology Case studies Task/Channel Model Parallel computation = set of tasks Task Program Local memory Collection of I/O ports Tasks interact by sending messages through channels Task/Channel Model Multiprocessors Definition unique to Quinn … Parallel Programming with OpenMP • OpenMP (Open Multi-Processing) is a popular shared-memory programming model • Supported by popular production C (also Fortran) compilers: Clang, GNU Gcc, IBM xlc, Intel icc • These slides borrow heavily from Tim Mattson’s excellent OpenMP tutorial available This program sums all rows in an array using parallelism. Fork/Join Model OpenMP follows the fork/join model: OpenMP programs start with a single thread; the master thread (Thread #0) At start of parallel region master creates team of parallel … All rows in an array using parallelism specification with “light”syntax • Exact behavior depends on implementation! 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