Fundamentals of Accelerated Computing with OpenACC

Fundamentals of Accelerated Computing with OpenACCFACONVNvidiaNV-FACO1.0<ul> <li>Profile and optimize your CPU-only applications to identify hot spots for acceleration.</li><li>Use OpenACC directives to GPU-accelerate your codebase.</li><li>Optimize data movement between the CPU and GPU accelerator.</li></ul><ul> <li>Basic C/C++ or Fortran competency, including familiarity with variable types, loops, conditional statements, functions, and array manipulations.</li><li>No previous knowledge of GPU programming is assumed.</li></ul>Introduction <ul> <li>Meet the instructor.</li><li>Create an account at courses.nvidia.com/join</li></ul>Introduction to Parallel Programming <ul> <li>Learn about parallelism in a conceptual way, as well as how to express it with OpenACC. Topics that will be covered are as follows:<ul> <li>Introduction to parallelism</li><li>The goals of OpenACC</li><li>Basic parallelization of code using OpenACC</li></ul></li></ul>Profiling with OpenACC <ul> <li>Learn how to build and compile an OpenACC code, the importance of profiling, and how to use the NVIDIA Nsight™ Systems profiler. Topics that will be covered are as follows:<ul> <li>Compiling sequential and OpenACC code</li><li>The importance of code profiling</li><li>Profiling sequential and OpenACC multicore code</li><li>Technical introduction to the code used in introductory modules</li></ul></li></ul>Introduction to OpenACC Directives <ul> <li>Learn how to parallelize your code with OpenACC directives and understand the differences between parallel, kernel, and loop directives. Topics that will be covered are as follows:<ul> <li>The Parallel directive</li><li>The Kernels directive</li><li>The Loop directive</li></ul></li></ul>GPU Programming with OpenACC <ul> <li>Learn about the differences between GPUs and multicore CPUs, and manage memory with CUDA Unified Memory. Topics that will be covered are as follows:<ul> <li>Definition of a GPU</li><li>Basic OpenACC data management</li><li>CUDA Unified Memory</li><li>Profiling GPU applications</li></ul></li></ul>Data Management with OpenACC <ul> <li>Learn how to explicitly manage data movement with OpenACC data directives to reduce data transfers. Topics that will be covered are as follows:<ul> <li>OpenACC data directive/clauses</li><li>OpenACC structured data region</li><li>OpenACC unstructured data region</li><li>OpenACC update directive</li><li>Data management with C/C++ Structs/Classes</li></ul></li></ul>Loop Optimizations with OpenACC <ul> <li>Understand the various levels of parallelism on a GPU and learn ways to extract more parallelism with OpenACC by optimizing loops in your code. Topics that will be covered are as follows:<ul> <li>Seq/Auto clause</li><li>Independent clause</li><li>Reduction clause</li><li>Collapse clause</li><li>Tile clause</li><li>Gang, Worker, Vector</li></ul></li></ul>Final Review <ul> <li>Review key learnings and answer questions.</li><li>Complete the assessment and earn a certificate.</li><li>Complete the workshop survey.</li></ul>- Profile and optimize your CPU-only applications to identify hot spots for acceleration. - Use OpenACC directives to GPU-accelerate your codebase. - Optimize data movement between the CPU and GPU accelerator.- Basic C/C++ or Fortran competency, including familiarity with variable types, loops, conditional statements, functions, and array manipulations. - No previous knowledge of GPU programming is assumed.Introduction - Meet the instructor. - Create an account at courses.nvidia.com/join Introduction to Parallel Programming - Learn about parallelism in a conceptual way, as well as how to express it with OpenACC. Topics that will be covered are as follows: - Introduction to parallelism - The goals of OpenACC - Basic parallelization of code using OpenACC Profiling with OpenACC - Learn how to build and compile an OpenACC code, the importance of profiling, and how to use the NVIDIA Nsight™ Systems profiler. Topics that will be covered are as follows: - Compiling sequential and OpenACC code - The importance of code profiling - Profiling sequential and OpenACC multicore code - Technical introduction to the code used in introductory modules Introduction to OpenACC Directives - Learn how to parallelize your code with OpenACC directives and understand the differences between parallel, kernel, and loop directives. Topics that will be covered are as follows: - The Parallel directive - The Kernels directive - The Loop directive GPU Programming with OpenACC - Learn about the differences between GPUs and multicore CPUs, and manage memory with CUDA Unified Memory. Topics that will be covered are as follows: - Definition of a GPU - Basic OpenACC data management - CUDA Unified Memory - Profiling GPU applications Data Management with OpenACC - Learn how to explicitly manage data movement with OpenACC data directives to reduce data transfers. Topics that will be covered are as follows: - OpenACC data directive/clauses - OpenACC structured data region - OpenACC unstructured data region - OpenACC update directive - Data management with C/C++ Structs/Classes Loop Optimizations with OpenACC - Understand the various levels of parallelism on a GPU and learn ways to extract more parallelism with OpenACC by optimizing loops in your code. Topics that will be covered are as follows: - Seq/Auto clause - Independent clause - Reduction clause - Collapse clause - Tile clause - Gang, Worker, Vector Final Review - Review key learnings and answer questions. - Complete the assessment and earn a certificate. - Complete the workshop survey.1 day500.00500.00500.00500.00500.00420.00500.00690.00