Cuda Programming Masterclass With C++
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.55 GB | Duration: 10h 48m
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.55 GB | Duration: 10h 48m
Learn parallel programming on GPU's with CUDA from basic concepts to advance algorithm implementations.
What you'll learn
All the basic knowladge about CUDA programming
Ability to desing and implement optimized parallel algorithms
Basic work flow of parallel algorithm design
Advance CUDA concepts
Requirements
Basic C or C++ programming knowladge
How to use Visual studio IDE
CUDA toolkit
Nvidia GPU
You should be familiar with basic setup of a C++ project, how to change project properties etc
Description
This course is all about CUDA programming. We will start our discussion by looking at basic concepts including CUDA programming model, execution model, and memory model. Then we will show you how to implement advance algorithms using CUDA. CUDA programming is all about performance. So through out this course you will learn multiple optimization techniques and how to use those to implement algorithms. Also we will extensively discuss profiling techniques and some of the tools including nvprof, nvvp, CUDA Memcheck, CUDA-GDB tools in the CUDA toolkit. This course contains following sections. Introduction to CUDA programming and CUDA programming model CUDA Execution model CUDA memory model-Global memory CUDA memory model-Shared and Constant memory CUDA streams Tuning CUDA instruction level primitives Algorithm implementation with CUDA CUDA toolsWith this course we include lots of programming exercises and quizzes as well. Answering all those will help you to digest the concepts we discuss here.This course is the first course of the CUDA master class series we are current working on. So the knowledge you gain here is essential of following those course as well.
Who this course is for:
Any one who wants to learn CUDA programming from scartch to intermidiate level