Last Updated on January 21, 2024
OpenMP (Open Multi-Processing) is an open standard API for Shared Memory parallelization in C, C++ and Fortran which consist of three primary API components: compiler directives, runtime routines and environment variables.
An OpenMP-parallelised application starts as a serial application that runs on a single compute core. When instructed by the programmer, the application spawns a number of threads, which can run concurrently on separate cores. Thus, work can be distributed to leverage more resources.
Here’s our recommended OpenMP tutorials.
1. OpenMP by Blaise Barney
This tutorial is one of the eight tutorials in the 4+ day “Using LLNL’s Supercomputers” workshop. It is geared to those who are new to parallel programming with OpenMP. Basic understanding of parallel programming in C or Fortran is required.
2. Guide into OpenMP: Easy multithreading programming for C++ by Joel Yliluoma
This document attempts to give a quick introduction to OpenMP, a simple C/C++/Fortran compiler extension that allows to add parallelism into existing source code without significantly having to rewrite it.
3. OpenMP by NeSI
This tutorial helps you learn what threads are, learn how to leverage OpenMP to accelerate your C/C++ code, and how to learn to compile C/C++ code with OpenMP enabled.
4. A “Hands-on” Introduction to OpenMP by Tim Mattson and Larry Meadows
This tutorial covers creating threads, synchronization, parallel loops, synchronize single masters and stuff, data environment, schedule your for and sections, memory mode, and OpenMP 3.0 and tasks.
5. Introduction to OpenMP Programming: a Tutorial by Norman Matloff
This tutorial on OpenMP programming is now a (more or less independent) chapter in the author’s open-source text-book on parallel programming.
There’s many other useful tutorials listed at https://www.openmp.org/resources/tutorials-articles/.
All tutorials in this series:
Free Programming Tutorials | |
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ABAP | Advanced Business Application Programming |
Ada | ALGOL-like programming language, extended from Pascal and others |
Agda | Dependently typed functional language based on intuitionistic type theory |
Alice | Educational language with an integrated development environment |
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Chapel | Parallel-programming language in development at Cray Inc. |
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Crystal | General-purpose, concurrent, multi-paradigm, object-oriented language |
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Dylan | Multi-paradigm language, supports functional & object-oriented programming |
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Eiffel | Object-oriented language |
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Erlang | General-purpose, concurrent, declarative, functional language |
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Factor | Dynamic stack-based language |
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Fortran | The first high-level language, using the first compiler |
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Go | Compiled, statically typed programming language |
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JavaScript | Interpreted, prototype-based, scripting language |
Julia | High-level, high-performance language for technical computing |
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LabVIEW | Designed to enable domain experts to build power systems quickly |
LaTeX | Professional document preparation system and document markup language |
Less | Backwards-compatible language extension for Cascading Style Sheets |
Limbo | Designed for applications running distributed systems on small computers |
Lisp | Unique features - excellent to study programming constructs |
Logo | Dialect of Lisp that features interactivity, modularity, extensibility |
Lua | Designed as an embeddable scripting language |
Markdown | Plain text formatting syntax designed to be easy-to-read and easy-to-write |
MoonScript | Dynamic scripting programmer friendly language that compiles into Lua |
Nim | Statically typed compiled systems language with syntax resembling Python |
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OCaml | General-purpose, powerful, high-level language |
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OpenCL | Open Computing Language |
Pascal | Imperative and procedural language designed in the late 1960s |
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Pike | Interpreted, general-purpose, high-level, cross-platform, dynamic language |
PHP | PHP has been at the helm of the web for many years |
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Prolog | General purpose, declarative, logic programming language |
PureScript | Small strongly, statically typed language with expressive types |
Python | General-purpose, structured, powerful language |
QML | Hierarchical declarative language for user interface layout with a syntax to JSON |
R | De facto standard among statisticians and data analysts |
Racket | Platform for programming language design and implementation |
Raku | Member of the Perl family of programming languages |
Roff | Extensible text formatting language and a set of programs for printing |
Ruby | General purpose, scripting, structured, flexible, fully object-oriented language |
Rust | Ideal for systems, embedded, and other performance critical code |
Scala | Modern, object-functional, multi-paradigm, Java-based language |
Scheme | General-purpose, functional, language descended from Lisp and Algol |
Scratch | Visual programming language designed for 8-16 year-old children |
Solidity | Object-oriented, high-level language for implementing smart contracts |
SQL | Access and manipulate data held in a relational database management system |
Standard ML | One of the two main dialects of the ML language |
Swift | Powerful and intuitive general-purpose programming language |
Tcl | Dynamic language based on concepts of Lisp, C, and Unix shells |
TypeScript | Strict syntactical superset of JavaScript, adding optional static typing |
V | Statically typed compiled language to build maintainable software |
Vala | Object-oriented language with a self-hosting compiler that generates C code |
VHDL | Very High Speed Integrated Circuit Hardware Description Language |
VimL | Powerful scripting language of the Vim editor |
XML | Set of rules for defining semantic tags that describe the structure and meaning |
Zig | General-purpose programming language and toolchain |