What you'll get

  • Govt. Verified Certification
  • Job Credibility
  • Certification Valid for Life
  • Lifetime Access To E-learning

Description

Anyone who is interested in learning programming with CUDA, this course for y'all. It allows software to use some GPUs for general purpose. Here, you will be given a thorough and deep understanding of how to program with CUDA. So you should not keep waiting for yourself, come and check this course out.

In this course you will learn how to install the CUDA toolkit on windows and Linux. You will learn the CUDA Programming model, Kernel Execution configuration, how to handle errors and many more.

You will also learn about the Performances Optimizations such as the NVIDIA Visual Profiler, the instructions and control flow optimizations. Here, you will be mastered with the beginner to mastery of this course.

Parallel Algorithms, filtering, reduction Deep learning, signal, etc are also included.

  • Advanced CUDA topics are also discussed here like:
  • Device Management
  • Dynamic Parallelism
  • Overlapping Transfers and Computation
  • The Unified Address spaces.

Moreover, many more topics discussed further you will see when you go through the topics.

CUDA is worth learning nowadays which will help in your future to be stable, you can also apply for the jobs relating to Programming.  Many companies use CUDA as their programming such as Cruise, Onefit, trivago and many. You will learn all the details about GPU accelerated Libraries where signal, Images and videos, Linear Algebra and math are all included. Even if you are not from a computer Science background you will not face any problem if you take this course because you will be learning here from the very root of this course as this is designed in this very way where you will find zero difficulties to understand. Thus here, you will get prepared to do the most trending task which will bring you towards a stable future in this domain.

You will require nothing but the basic knowledge of Basic C or C++ programming knowledge, CUDA toolkit, NVIDIA GPA. If you don't know these, no need to worry, you will be guided from the roots to the core knowledge.

It is for any programming enthusiasts or anyone who wants to learn CUDA programming from scratch to intermediate level. Any Engineer Graduates or anyone who is pursuing computer science or their Engineering degrees, or who belongs to IT industries can pursue this course.

This course will give you strong basic concepts throughout the whole topic which will help your future to be secure and stable. So don't waste a second thinking whether you should take this course or not, it is worth learning as you will get a whole-time access to this e learning and a certificate which will be the advantage of getting you a job. So, grab this course asap!

Course content

Total: 30 lectures
  • The Course Overview
  • Overview of CUDA
  • Installing the CUDA Toolkit on Windows
  • Installing the CUDA Toolkit on Linux
  • Your First CUDA Program
  • The CUDA Programming Model
  • Kernel Execution Configurations
  • Debugging with NVIDIA Nsight on Windows
  • Debugging with cuda-gdb on Linux
  • Handling Errors
  • The NVIDIA Visual Profiler
  • Using Memory Efficiently
  • Working with 2D and 3D Memory Layouts
  • Texture and Constant Memory
  • Instruction and Control Flow Optimizations
  • Introduction to Shared Memory
  • Reduction
  • Prefix Sum
  • Filtering
  • Deep Learning
  • Signal, Image, and Video
  • Linear Algebra and Math
  • Parallel Algorithms
  • Concurrency and Streams
  • Overlapping Transfers and Computation
  • Device Management
  • Programming with Multiple GPUs
  • The Unified Address Space
  • Dynamic Global Memory Allocation
  • Dynamic Parallelism

Reviews

Please login or register to review
Frequently Asked Questions