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Udemy – Mastering GPU Parallel Programming with CUDA: ( HW & SW ) 2025-10

Updated August 10, 2026 15.1 GB
Udemy – Mastering GPU Parallel Programming with CUDA: ( HW & SW ) 2025-10

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Description

Mastering GPU Parallel Programming with CUDA: (HW & SW) is a course on high-performance computing using NVIDIA GPUs published by Udemy Online Academy. This course provides a comprehensive and practical introduction to high-performance computing using NVIDIA GPUs. It bridges the gap between hardware architecture and software development, helping people understand how GPUs run massively parallel workloads and how to write efficient CUDA programs that take full advantage of GPU resources. By combining theoretical foundations with practical coding, this course enables people to accelerate compute-intensive applications and gain real-world skills used in scientific computing, artificial intelligence, and graphics.

This hands-on course teaches you how to harness the massive parallel processing power of modern GPUs with CUDA. You’ll start with the basics of GPU hardware, follow the evolution of flagship architectures (Fermi → Pascal → Volta → Ampere → Hopper), and – through code-driven labs – learn how to write, profile, and optimize high-performance cores. By the end, you’ll be able to design, analyze, and fine-tune CUDA cores that run efficiently on today’s GPUs – equipping you to tackle demanding scientific, engineering, and AI workloads.

What you will learn in Mastering GPU Parallel Programming with CUDA: ( HW & 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 how they affect performance
  • Understand new technologies in GPU internals
  • Understand the basics of CUDA programming on GPU
  • Get started with GPU programming using CUDA on Windows and Linux
  • Understand the most efficient parallelization methods
  • Profiling and tuning performance
  • Using shared memory
  • And more…

Course specifications

Publisher: Udemy
Instructors: Hamdy egy
Language: English
Level: Introductory to Advanced
Number of Lessons: 58
Duration: 23 hours and 3 minutes

Course topics

Mastering GPU Parallel Programming with CUDA ( HW & SW ) Content

Mastering GPU Parallel Programming with CUDA: ( HW & SW ) Prerequisites

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

Pictures

Mastering GPU Parallel Programming with CUDA ( HW & SW )

Mastering GPU Parallel Programming with CUDA: ( HW & SW ) introduction video

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English subtitle

Quality: 1080p

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Download Part 3 – 4 GB

Download Part 4 – 3.1 GB

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Download Part 1 – 4 GB

Download Part 2 – 4 GB

Download Part 3 – 4 GB

Download Part 4 – 3.1 GB

File password (s): www.downloadly.ir

Size

15.1 GB