OpenMP supports C, C++ and Fortran. Programming Your GPU with OpenMP This is a hands-on tutorial that introduces the basics of targetting GPUs with OpenMP 4.5 through a series of worked examples. The directives allow the user to mark areas of the code, such as do, while or for loops, which are suitable for parallel processing. A thread of execution is the smallest unit of processing that can be scheduled by an operating system. OpenMP program structure: An OpenMP program has sections that are sequential and sections that are parallel. • 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 at www.openmp.org, and from Jeffrey Jones (OSU CSE 5441) Source: Tim Mattson Shared Memory Programming with OpenMP 1 Serial Programs Can’t Accelerate 2 Parallel Algorithms Are Available 3 The Parallel Loop 4 SAXPY Example: Vector Addition 5 Basic OpenMP Directives 6 Compiling, Linking, Running 7 Timing and Other Functions 8 PRIME Example 9 Private and Shared Variables 10 Reduction Operations 11 Using Random Numbers 12 SATISFY Example 2/1 In general an OpenMP program starts with a sequential section in which it sets up the environment, initializes the variables, and so on. Parallel Programming (Multi/cross-platform) •Why Choose C/C++ as the programming language? Hands On Code Examples Hello World Map Saxpy Trapezoid Rule Monte Carlo Difference Eq. Goals of Workshop • Have basic understanding of • Parallel programming • MPI • OpenMP • Run a few examples of C/C++ code on Princeton HPC systems. The idea of a subroutine that can be scheduled to run autonomously might help explain what a thread is. Resteanu C and Trandafir R Programming problems with a large number of objective functions Proceedings of the 7th international conference on Numerical methods and applications, (207-214) Buss A, Fidel A, Harshvardhan , Smith T, Tanase G, Thomas N, Xu X, Bianco M, Amato N and Rauchwerger L The STAPL pView Proceedings of the 23rd international conference on Languages and compilers for … The OpenMP programming model is SMP (symmetric multi-processors, or shared-memory processors): that means when programming with OpenMP all threads share memory and data. Programming with OpenMP 1.1 What is Parallel Computing? OpenMP (Open MultiProcessing) is a parallel programming model based on compiler directives which allows application developers to incrementally add parallelism to their application codes. Most people here will be familiar with serial computing, even if they don’t realise that is what it’s called! Parallel code with OpenMP marks, through a special directive, sections to be executed in parallel. •Compiling C/C++ on Windows (for free ) •Compiling C/C++ on other platforms for free is not an issue •Parallel Programming in C/C++ - OpenMP versus MPI •MPI Examples •OpenMP Examples •Project – Assessed Work (50%) OpenMP is a Compiler-side solution for creating code that runs on multiple cores/threads. Example (C program): Display "Hello, world." Summer School, June 25-28, 2018 Outline qIntroductionto parallel programming (OpenMP) qDefinition of OpenMPAPI ØConstitution of an OpenMPprogram ØOpenMPprogramming Model ØOpenMPsyntax [C/C++, Fortran]: compiler directives ØRun or submit an OpenMPjob [SLURM, PBS] qLearn OpenMPby Examples ØHello World program vWork sharing in OpenMP üSections üLoops ØCompute pi = 3.14 OPENMP is a directory of C examples which illustrate the use of the OpenMP application program interface for carrying out parallel computations in a shared memory environment.. Programming Language Laboratory – p.4/18 Programming with MPI and OpenMP Charles Augustine. Recap Hands on! The OpenMP Programming Model ... For example, private(a) is a clause to the for directive: The original thread will be denoted as master thread with thread ID 0. MPI_Reduce We saw with OpenMP that we can use a reduce directive to sum values across all threads. OpenMP tutorial by Brent Swartz February 18, 2014 Room 575 Walter 1-4 P.M. 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