NVIDIA GPU Programming培训

课程编码

CUDAProg

课程时长

14 小时 通常来说是2天,包括中间休息。

要求

C Programming, Linux GCC

课程概览

本课程介绍如何为并行计算编程GPU 。一些应用程序包括深度学习,分析和工程应用程序。

Machine Translated

课程大纲

Day 1 - Introduction and Basics

  1. Why Parallel Computing? Need for parallel Computing
  2. Multi-Core processors - Architecture and Design
  3. Introduction to Threads, Thread Basics and Basic concepts of parallel programming
  4. OpenMP- A Standard for Directive based Parallel Programming
  5. Hands on / Demonstration of various programs on multicore machines

Day 2 - GPU Programming

  1. GPU's for parallel Computing
  2. GPU's Programming Model
  3. Hands on /Demonstration of various programs on GPU
  4. SDK, Toolkit and Installation of environemnt for GPU
  5. Working with various Libraries
  6. Demonstration of GPU and Tools with Sample Programs and OpenACC

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