| 1 - Introduction.mp4 | 147 MB | ||
| 2 - Graphics Pipeline and GPU Internals.mp4 | 205.1 MB | ||
| 3 - GPGPU Applications.mp4 | 185 MB | ||
| 4 - NVIDIA CUDA and GPU Kernels.mp4 | 83.8 MB | ||
| 5 - GPU Memory Structure.mp4 | 31.8 MB | ||
| 6 - CUDA Programming Languages.mp4 | 153.4 MB | ||
| 7 - GPU Optimization.mp4 | 57.3 MB | ||
| 8 - Parallelization Techniques and Programming Exercises.mp4 | 9.2 MB | ||
| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B |
Gpgpu Programming Using Cuda
https://FreeCourseWeb.com
Published 2/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 872.52 MB | Duration: 1h 25m
A Comprehensive Guide
What you'll learn
Study GPGPU internal architecture
Review scientific problems GPGPUs solve well
Understand graphics pipeline and steps to construct a scene
Study how GPGPUs are applied to neural networks and video decoding
Learn GPGPU memory structure and optimization techniques
Learn principles of practical algorithms to parallelize an implementation
Be able to write C/C++, Fortran, and MATLAB simulation code to execute on CUDA GPGPU for a specific application
Be cognizant of CUDA GPGPU programming quirks
Requirements
Some programming experience.
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