Introduction

Introduction to Parallel Programming

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 about ways to extract more parallelism with OpenACC by optimizing loops in your code. (50 mins) 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.