GPU Programming with OpenACC Training Course
OpenACC is an open standard for heterogeneous programming that enables code to run on various platforms and devices, including multicore CPUs, GPUs, FPGAs, and others.
This instructor-led, live training (online or onsite) is designed for beginner to intermediate level developers who wish to use OpenACC to program heterogeneous devices and leverage their parallel processing capabilities.
By the end of this training, participants will be able to:
- Set up an OpenACC development environment for government projects.
- Write and run a basic OpenACC program.
- Annotate code with OpenACC directives and clauses.
- Utilize OpenACC API and libraries effectively.
- Profile, debug, and optimize OpenACC programs to meet performance standards for government applications.
Format of the Course
- Interactive lecture and discussion tailored to public sector workflows.
- Extensive exercises and practice sessions.
- Hands-on implementation in a live-lab environment, ensuring alignment with government governance and accountability requirements.
Course Customization Options
- To request a customized training for this course, tailored to the specific needs of your government agency, please contact us to arrange.
Course Outline
Introduction
- What is OpenACC?
- Comparing OpenACC, OpenCL, CUDA, and SYCL for government
- Overview of OpenACC features and architecture
- Setting up the development environment for government
Getting Started
- Creating an OpenACC project in Visual Studio Code for government
- Exploring project structure and files for government
- Compiling and running the program for government
- Displaying output with printf and fprintf for government
OpenACC Directives and Clauses
- Understanding OpenACC directives and clauses for government
- Using parallel directives to create parallel regions for government
- Using kernels directives for compiler-managed parallelism for government
- Using loop directives to parallelize loops for government
- Managing data movement with data directives for government
- Synchronizing data with update directives for government
- Improving data reuse with cache directives for government
- Creating device functions with routine directives for government
- Synchronizing events with wait directives for government
OpenACC API
- Understanding the role of OpenACC API for government
- Querying device information and capabilities for government
- Setting device number and type for government
- Handling errors and exceptions for government
- Creating and synchronizing events for government
OpenACC Libraries and Interoperability
- Understanding OpenACC libraries and interoperability for government
- Using math, random, and complex libraries for government
- Integrating with other models (CUDA, OpenMP, MPI) for government
- Integrating with GPU libraries (cuBLAS, cuFFT) for government
OpenACC Tools
- Understanding OpenACC tools in development for government
- Profiling and debugging OpenACC programs for government
- Performance analysis with PGI Compiler, NVIDIA Nsight Systems, Allinea Forge for government
Optimization
- Factors affecting OpenACC program performance for government
- Optimizing data locality and reducing transfers for government
- Optimizing loop parallelism and fusion for government
- Optimizing kernel parallelism and fusion for government
- Optimizing vectorization and auto-tuning for government
Summary and Next Steps
Requirements
- An understanding of C/C++ or Fortran language and parallel programming concepts
- Basic knowledge of computer architecture and memory hierarchy
- Experience with command-line tools and code editors
Audience
- Developers who seek to learn how to use OpenACC to program heterogeneous devices and leverage their parallelism for government applications
- Developers aiming to write portable and scalable code that can run on various platforms and devices within the public sector
- Programmers interested in exploring high-level aspects of heterogeneous programming to enhance code productivity for government projects
Runs with a minimum of 4 + people. For 1-to-1 or private group training, request a quote.
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