Udemy - CUDA Programming Masterclass 2026 - NVIDIA GPU Computing [TorrentX]

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