Parallel Programming with OpenMP

• An understanding of HPC Systems
• Parallel programming experience

Audience

• Software Engineers

OpenMP (Open Multi-Processing) is an API for shared memory multiprocessing programming. With OpenMP, programmers are able to develop parallel applications for platforms from desktops to non-shared memory systems.

This instructor-led, live training (online or onsite) is aimed at software engineers who wish to develop parallel applications using OpenMP.

By the end of this training, participants will be able to:

• Understand and use parallel programming with Fortran in OpenMP.
• Calculate fractals in parallel to render multiple pixels and characters.
• Implement vector programming with SIMD extensions for HPC systems.
• Add parallel blocks for specifying shared memory parallelism.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Introduction

Multi-Threading Programming

• Syntax and constructs
• Clauses and sections

Offloading Support

• Directives and target data
• If, device, and map clauses

Thread Safety and Sharing

• Atomicity
• Constructs, locks, and directives
• Shared clauses

Preparing the Development Environment

• Installing and configuring OpenMP
• Installing and configuring VMWare
• Setting up an HPC with VMWare

Parallel Programming in OpenMP

• Creating a hello world code example and demonstration
• Worksharing constructs
• Working with for loops
• Using sectional parallelism
• Using fractals
• Adding vectors

Vector Programming and SIMD Extensions

• Vectorizing loops
• Annotating user-defined functions
• Using functions that support SIMD annotation
• Generating a vector function
• Registering vector return values

Fortran in OpenMP

• Worksharing constructs
• Synchronizing constructs
• Using data scope attribute clauses and other clauses
• Working with OpenMP-Runtime Library

Parallel Blocks

• Specifying the number of threads
• Executing parallel statement blocks
• Distinguishing the running threads in a parallel block
• Using omp critical directives

Summary and Conclusion