Learn CUDA programming
Learn CUDA programming with C++ in this highly practical and hands-on course that will teach you how to create an application for deep learning. This course is designed as a tutorial where you’re encouraged to make changes to the code and play with it yourself. As a result, this course also provides a foundation for understanding how GPUs work internally, as well as how they can be applied to different algorithms.
This Udemy course is for those who want to learn CUDA programming at an excellent level. The course will cover everything from beginner to advanced and when you are done, you will be in a position to create your own programs or go on to develop your own projects.
If you want to master the art of developing CUDA applications, you needn’t look any further than this course. Learn the fundamentals of programming with C++, and how to implement them in CUDA. From setting up cross-compilers, building sample projects and optimising your code for performance, to developing real-world applications from scratch, this course will help you become a competent CUDA programmer.
This course is all about learning how to program GPUs and CPUs with CUDA. You will learn fundamental concepts in parallel computing, via a set of hands-on examples. The target audience for this class is mainly people who want to master CUDA, either as developers or data scientists.
The course provides an in-depth coverage of CUDA programming. It covers almost all aspects of parallel programming in detail and emphasizes the importance of understanding how algorithms are structured as well as the various issues that arise when programming applications for massively parallel architectures. Throughout the course, designing and implementing a number of parallel algorithms will be emphasized.
Join this class to learn how to implement cutting edge deep learning techniques using NVIDIA CUDA (Compute Unified Device Architecture). We will take you from complete beginner to experienced developer, with step by step examples and exercises.
CUDA programming Masterclass with C++ will take your skills to the next level by making you a master of CUDA and C++. This course will give you the tools needed to not only learn CUDA, but also how to utilize it in real-world projects and applications. Covering everything from the basics, to advanced topics like manipulating VBOs, streams and more! In this course we cover all things related to programming in CUDA and C++. This is not just another basic introduction such as many other introductory courses offer; it is a complete learning experience covering all aspects of this technology. The course doesn’t just focus on what you need to know in Udemy – CUDA programming Masterclass with C++ by Kasun Liyanage
CUDA programming Masterclass with C++ is a unique course on CUDA programming with an emphasis on mastering high-level CUDA graphics. This course will educate you in using the cutting-edge NVIDIA GPU programming language, C++ and its tight integration with OpenACC as well as with C++/Fortran.
This course provides step-by-step guide to help you become a CUDA programmer with C++. With hands-on experience, you will be able to create applications to speed up your machine learning, deep learning and image processing algorithms.
Learn CUDA programming with C++ Programming
In this course, you will learn how to implement algorithms such as sorting, searching, and averaging using CUDA C++ programming. You will also be introduced to topics such as GPU hardware architecture and optimization techniques. This course includes many hands-on examples and demos that help you learn faster by actually seeing the code, system calls and execution of CUDA programs.
This course will teach you how to program and compute massively on your GPU with CUDA. You will learn the fundamentals of GPU programming from scratch and get a hands-on experience with TensorFlow and PyTorch, two powerful and popular deep learning libraries for research and development. We will also involve ourselves in video gaming to understand how a game engine actually works. By the end of this course, you will be able to program a multithreaded application having its own working version of TensorFlow built-in!
In this course, students will learn how C/C++ can be used as a smart instrument to create fast, high-performance CUDA applications. The goal is to get you into the mindset of thinking in parallel, and subsequently writing code that will execute parallelly on multiple GPU cores (CUDA threads). This course aims to bring together both C++ and CUDA programming concepts and practices. This guide is designed for programmers who are looking to use CUDA-enabled GPUs for tasks such as image processing, mathematical computations, or simulations. Some basic programming experience using C++ is assumed but not required.
Become a C++ CUDA programmer in less than a day.
This Advanced level course will build up on the basics of CUDA programming, to develop advanced skills in CUDA/C++ and to enable you to program in parallel computing.
The course is designed to help you master CUDA programming language. As you will see there are a lot of videos, slides and sample codes. Throughout the course we will learn how to compile and link our programs, how data structures work in CUDA etc.
This course is for those who are interested in learning about CUDA and C++ with a hands on project. You will learn about the various topics related to programming GPUs (Graphic Processing Units)
This course is designed to help you understand the fundamentals of CUDA programming in C++, including basic C++ syntax and object-oriented programming. You’ll get an introduction to the toolset that you can use to write parallel code on NVIDIA GPUs, including installation, debugging and compiling simple GPU programs, as well as a comprehensive overview of the CUDA architecture. This course provides detailed examples and explanations of multithreaded computing, data transfer between host and device memory, and optimizations in CUDA apps.
This course is designed for developers who have a good understanding of C++ programming and want to learn CUDA, the parallel computing platform. What you will learn in the course • Compiling and running a Hello World program on the GPU • Programming with CUDA libraries (cuDNN) • Writing data in buffers – load, copy and move • Using textures and images • Drawing lines, points and triangles using indices
Concepts of CUDA programming
CUDA programming Masterclass with C++ is designed for all levels of developers like beginners, intermediate and experts who want to learn CUDA + C++. This course will help you understand and solve complex problems using CUDA. Each lecture will carefully dissect the present topic making it easier for you to understand each concept. The objective of this course is to make it more comfortable for those who are new to this field or have had experience but would like some refresher on newer version of CUDA programming language (shadowplay)
This is an introductory course about CUDA programming for developing GPU oriented programs. If you have interest in Machine Learning, Computer Vision and Artificial Intelligence you will find this course quite interesting. The main goal is to give you a caputure of knowledge to get hold on how to design your own CUDA program with C++. You will be guided through the whole process of implementing real life algorithm in CUDA on a gpu device.
Learn the power of the GPU to create fast-running programs and build even more complex applications. This course is designed to take you from a beginner to an expert on CUDA programming in C++.
This is a step by step, easy to follow course that makes the difficult concepts of CUDA programming easy to understand. It covers everything you need to know to get your first GPU program up and running, including:- The fundamentals of CUDA C/C++ programming- Using GPUs for image processing, matrix multiplication and basic algebra- Learn how to speed up convolutional neural networks
This is a C ++ course that is suitable for all levels of expertise. This course will cover everything you need to know about C ++ and CUDA to program GPUs, from the simplest GPU fundamentals, to more complex and interesting applications.
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