Udemy – CUDA Parallel Programming on NVIDIA GPUs (HW and SW) 2025-4

CUDA Parallel Programming on NVIDIA GPUs (HW and SW) is a course on the fundamentals of GPU programming and parallel computing using NVIDIA’s CUDA platform published by Udemy Online Academy. This is a comprehensive course designed to teach the fundamentals of GPU programming and parallel computing using NVIDIA’s CUDA platform. The course covers both the hardware and software aspects of CUDA, enabling individuals to harness the power of NVIDIA GPUs for high-performance computing tasks. Topics include CUDA architecture, memory management, thread hierarchy, optimization techniques, and real-world applications in areas such as artificial intelligence, deep learning, and scientific computing.

Starting with the basics of GPU hardware, this course guides you through the evolution of NVIDIA architectures, their key performance characteristics, and the computational power of CUDA. With practical programming examples and step-by-step tutorials, students will gain a deep understanding of GPU computing, CUDA programming, and performance optimization. Whether you are an experienced developer or new to parallel computing, this course provides the knowledge and skills needed to harness the full potential of GPU programming. By the end of the course, individuals will be proficient in CUDA programming, profiling, and optimization, equipping them with the skills to develop high-performance GPU applications.

What you will learn in CUDA Parallel Programming on NVIDIA GPUs (HW and SW):

• Comprehensive understanding of GPU vs. CPU architecture
• Learn the history of the Graphics Processing Unit (GPU) to the latest products
• Understand the internal structure of a GPU
• Understand the different types of memory and their impact on performance
• Understand the latest technologies in GPU internals
• Understand the basics of CUDA programming on GPU
• Start GPU programming using CUDA on Windows and Linux
• Understand the most efficient ways to parallelize
• Profiling and tuning performance
• Using shared memory
• And…

Course specifications

• Publisher : Udemy
• Teacher : Hamdy Sultan
• Language: English
• Level : Intermediate
• Lectures : 57
• Duration : 23 hours and 2 minutes

Course topics

CUDA Parallel Programming on NVIDIA GPUs (HW and SW) Prerequisites

C and C++ basics
Linux and windows basics
Computer Architecture basics

Pictures

CUDA Parallel Programming on NVIDIA GPUs (HW and SW) introduction video

Installation guide

After Extract, watch with your favorite Player.

Subtitle: English

Quality: 720p

The 2025/4 version has an increase of 18 lessons and a duration of 10 hours and 8 minutes compared to 2024/10. Subtitles have also been added.

Download link

Download Part 1 – 2 GB

Download Part 2 – 2 GB

Download Part 3 – 2 GB

Download Part 4 – 2 GB

Download Part 5 – 2 GB

Download Part 6 – 87 MB

Size

10.08 GB