Corso di formazione NVIDIA GPU Programming

Codice del corso

CUDAProg

Durata

14 ore (generalmente 2 giorni pause incluse)

Requisiti

C Programming, Linux GCC

Overview

Questo corso illustra come programmare GPU per il calcolo parallelo. Alcune delle applicazioni includono l'apprendimento profondo, l'analisi e le applicazioni di ingegneria.

Machine Translated

Struttura del corso

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

Recensioni

★★★★★
★★★★★

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