GPU Programming with OpenACC Training Course
OpenACC is an open standard for heterogeneous programming that enables code to run across various platforms and devices, such as multicore CPUs, GPUs, FPGAs, and others.
This instructor-led live training (available online or onsite) targets beginner to intermediate-level developers looking to leverage OpenACC for programming heterogeneous devices and harnessing their parallel computing power.
By the end of this training, participants will be able to:
- Set up an OpenACC development environment.
- Write and execute a basic OpenACC program.
- Annotate code with OpenACC directives and clauses.
- Utilize OpenACC APIs and libraries.
- Profile, debug, and optimize OpenACC programs.
Format of the Course
- Interactive lecture and discussion.
- Plenty of exercises and practice sessions.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange it.
Course Outline
Introduction
- What is OpenACC?
- Comparison of OpenACC vs OpenCL vs CUDA vs SYCL
- Overview of OpenACC features and architecture
- Setting up the development environment
Getting Started
- Creating an OpenACC project in Visual Studio Code
- Exploring project structure and files
- Compiling and running the program
- Displaying output with printf and fprintf
OpenACC Directives and Clauses
- Understanding OpenACC directives and clauses
- Using parallel directives to create parallel regions
- Using kernels directives for compiler-managed parallelism
- Using loop directives to parallelize loops
- Managing data movement with data directives
- Synchronizing data with update directives
- Improving data reuse with cache directives
- Creating device functions with routine directives
- Synchronizing events with wait directives
OpenACC API
- Understanding the role of the OpenACC API
- Querying device information and capabilities
- Setting device number and type
- Handling errors and exceptions
- Creating and synchronizing events
OpenACC Libraries and Interoperability
- Understanding OpenACC libraries and interoperability
- Using math, random, and complex libraries
- Integrating with other models (CUDA, OpenMP, MPI)
- Integrating with GPU libraries (cuBLAS, cuFFT)
OpenACC Tools
- Understanding OpenACC tools in development
- Profiling and debugging OpenACC programs
- Performance analysis with PGI Compiler, NVIDIA Nsight Systems, Allinea Forge
Optimization
- Factors affecting OpenACC program performance
- Optimizing data locality and reducing transfers
- Optimizing loop parallelism and fusion
- Optimizing kernel parallelism and fusion
- Optimizing vectorization and auto-tuning
Summary and Next Steps
Requirements
- A solid understanding of C/C++ or Fortran programming languages and parallel computing concepts.
- Basic knowledge of computer architecture and memory hierarchy.
- Experience with command-line tools and code editors.
Audience
- Developers who want to learn how to use OpenACC for programming heterogeneous devices and leveraging their parallelism.
- Developers seeking to write portable and scalable code that runs on different platforms and devices.
- Programmers interested in exploring the high-level aspects of heterogeneous programming and enhancing their coding productivity.
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 6400 € + VAT*
Contact us for an exact quote and to hear our latest promotions
(*The final price may vary depending on the technical specialization of the course, the level of customization, the method of delivery and the number of learners)
Need help picking the right course?
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