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Course Outline
Introduction
- Defining OpenACC.
- Comparing OpenACC with OpenCL, CUDA, and SYCL.
- Overview of OpenACC features and architectural design.
- Setting up the development environment.
Getting Started
- Creating an OpenACC project in Visual Studio Code.
- Exploring the project structure and associated files.
- Compiling and executing the program.
- Displaying output using printf and fprintf.
OpenACC Directives and Clauses
- Comprehending OpenACC directives and clauses.
- Utilizing parallel directives to establish parallel regions.
- Applying kernels directives for compiler-managed parallelism.
- Using loop directives to parallelize loops.
- Managing data movement with data directives.
- Synchronizing data using update directives.
- Enhancing data reuse with cache directives.
- Creating device functions via routine directives.
- Synchronizing events with wait directives.
OpenACC API
- Understanding the role and scope of the OpenACC API.
- Querying device information and capabilities.
- Configuring device number and type.
- Handling errors and exceptions effectively.
- Creating and synchronizing events.
OpenACC Libraries and Interoperability
- Understanding OpenACC libraries and interoperability standards.
- Utilizing math, random, and complex number libraries.
- Integrating with other programming models (CUDA, OpenMP, MPI).
- Integrating with GPU libraries (cuBLAS, cuFFT).
OpenACC Tools
- Understanding OpenACC tools within the development workflow.
- Profiling and debugging OpenACC applications.
- Performance analysis using PGI Compiler, NVIDIA Nsight Systems, and Allinea Forge.
Optimization
- Identifying factors that impact OpenACC program performance.
- Optimizing data locality and minimizing transfers.
- Optimizing loop parallelism and fusion.
- Optimizing kernel parallelism and fusion.
- Enhancing vectorization and auto-tuning processes.
Summary and Next Steps
Requirements
- Familiarity with C/C++ or Fortran languages and core parallel programming concepts.
- Foundational knowledge of computer architecture and memory hierarchy.
- Proficiency with command-line tools and code editors.
Target Audience
- Developers seeking to learn how to use OpenACC to program heterogeneous devices and exploit their parallelism.
- Developers aiming to write portable, scalable code that runs efficiently across different platforms and devices.
- Programmers interested in exploring the high-level aspects of heterogeneous programming to enhance code productivity.
28 Hours
