Udemy - CUDA Programming Masterclass 2026 - NVIDIA GPU Computing

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size2.4 GB
  • Uploaded Byfreecoursewb
  • Downloads71
  • Last checkedAug. 09th '26
  • Date uploadedAug. 08th '26
  • Seeders 11
  • Leechers18

Infohash : 87DB561DC6522D295A737694396677ABD40C236D

CUDA Programming Masterclass 2026: NVIDIA GPU Computing

https://WebToolTip.com

Published 7/2026
Created by Addika Academy
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 20 Lectures ( 5h 33m ) | Size: 2.4 GB

Learn GPU Programming in C++ and Python: Memory Optimization, Parallel Programming, HPC, and Real-World CUDA Projects

What you'll learn
⚡ Master CUDA Programming with C++ by writing high-performance GPU applications using NVIDIA CUDA from scratch.
⚡ Understand NVIDIA GPU architecture, CUDA execution model, memory hierarchy, occupancy, and parallel programming concepts for efficient GPU computing.
⚡ Build and optimize CUDA applications using shared memory, memory coalescing, tiled matrix multiplication, atomic operations, reductions and warp shuffling
⚡ Accelerate Python applications with CUDA using CuPy, Numba, and custom CUDA kernels for scientific computing, AI, and data processing.
⚡ Develop real-world GPU programming projects including image processing, matrix multiplication, vector operations, and performance optimization techniques.
⚡ Optimize CUDA programs by analyzing GPU memory access patterns, cache utilization, DRAM behavior, synchronization, and kernel performance.
⚡ Apply CUDA programming skills to High Performance Computing (HPC), AI, deep learning, computer vision, and GPU-accelerated applications.
⚡ Solve practical CUDA programming challenges and confidently build, debug, and optimize NVIDIA GPU applications using industry best practices.
⚡ Learn to profile, benchmark, and debug CUDA applications using professional NVIDIA development tools to maximize GPU performance and efficiency.
⚡ Use atomic operations, reduction, and warp shuffling to write correct, race-free parallel CUDA programs

Requirements
❗ Just bring curiosity and a willingness to learn - from writing your first CUDA "Hello World" to solving advanced LeetGPU and PMPP-level problems, everything in between is fully explained
❗ This course starts completely from scratch and takes you all the way to advanced GPU programming

Files:

[ WebToolTip.com ] Udemy - CUDA Programming Masterclass 2026 - NVIDIA GPU Computing
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1 - CUDA & GPU Programming NVIDIA Mini Projects and Hands-On Applications
    • 1. CUDA CC++ for GPU Programming An NVIDIA Mini Project.mp4 (65.9 MB)
    • 2. NVIDIA Tensor Cores Programming for GPU-Accelerated AI.mp4 (32.6 MB)
    • 3. CUDA Image Filters GPU Cache and Constant Memory.mp4 (44.4 MB)
    2 - CUDA C Fundamentals GPU Architecture and Matrix Multiplication
    • 4. Simple Matrix Multiplication on GPU Using CUDA C.mp4 (63.6 MB)
    • 5. NVIDIA GPU Hardware Explained for CUDA C Programmers.mp4 (45.4 MB)
    • 6. 4.5x Faster CUDA C Memory Coalescing in Two Variable Changes.mp4 (29.7 MB)
    • 7. Tiled Matrix Multiplication in CUDA C A Must-Know GPU Technique.mp4 (27.2 MB)
    3 - Python CUDA Programming GPU Acceleration with CuPy and Numba
    • 10. Numba and Custom CUDA Kernels for GPU Programming.mp4 (146.9 MB)
    • 11. Advanced Python CUDA Examples.mp4 (120.2 MB)
    • 12. Advanced CUDA Programming with Numba.mp4 (48.7 MB)
    • 8. CUDA Programming with Python GPU Acceleration Basics.mp4 (40.4 MB)
    • 9. Python CUDA Setup with CuPy.mp4 (151.5 MB)
    4 - CUDA C Matrix Multiplication, Shared Memory, and Atomic Ops
    • 13. CUDA Programming Basics Hello World and Vector Addition.mp4 (289.5 MB)
    • 14. Naive Matrix Multiplication vs cuBLAS in CUDA.mp4 (188.3 MB)
    • 15. Tiled Matrix Multiplication and Shared Memory in CUDA.mp4 (216.8 MB)
    • 16. Atomic Operations, Reduction, and Warp Shuffling in CUDA.mp4 (246.7 MB)
    5 - CUDA Programming GPU Architecture, Occupancy, and Memory Coalescing
    • 17. GPU Architecture and Occupancy in CUDA.mp4 (144.0 MB)
    • 18. CUDA Exercises Solving PMPP Chapter 4 Problems.mp4 (251.6 MB)
    • 19. Memory Coalescing, DRAM Burst, and Matrix Transpose in CUDA.mp4 (153.1 MB)
    • 20. CUDA Programming Solve Easy GPU Problems on LeetGPU.mp4 (118.6 MB)
    • Bonus Resources.txt (0.1 KB)

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