GPU Programming

This course covers GPU programming techniques for parallel computing performance optimization and high speed data processing Learners will develop GPU pro...

Y Rammohana Rao

English

Certificate Course

1 Students

00h 00m

Course Overview

This course covers GPU programming techniques for parallel computing performance optimization and high speed data processing

Learners will develop GPU programs apply parallel computing methods and optimize applications for improved performance

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Course curriculum

Course Expectations

Coursera Lab Assignments Overview

Real World Concurrent Programming

Concurrent Programming Pitfalls

Concurrent Programming Problems and Algorithms Presentation

Optional Hungry Chickens Problem

Concurrent Programming Patterns

Serial Versus Parallel Code and Flynn's Taxonomy

Python 3 Parallel Programming Syntax and Patterns Presentation

Python 3 Laboratory Project Structure

Python 3 Assignment Project Structure

C++ Parallel Programming Syntax And Patterns

C++ Laboratory Project Structure

C++ Assignment Project Structure

Integrated versus Dedicated GPUs

GUI CLI Tools for Identifying Installed GPU Hardware

Nvidia GPU Architectures

CUDA Linux Installation

CUDA Help Lab and Assignment Walkthrough

CUDA Software Layers

CUDA Code Compilation

CUDA Runtime Driver APIs

CUDA Driver and Runtime APIs Lab and Assignment Walkthrough

CUDA Compilation and Execution Syntax

CUDA Keywords Video

Simple CUDA Lab and Assignment Walkthrough

CUDA IDE Programming

CUDA Project Structure and Best Practices

Requirment

Outcomes

Instructor

Y Rammohana Rao

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5 Students
21 Courses
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Students
1
language
English
Duration
00h 00m
Level
intermediate
Expiry period
4 Months
Certificate
Yes