| 1 - CPU vs GPU Performance Comparison.mp4 | 115.9 MB | ||
| 1 - Compute Capability - CUDA GPU Compute Capability.url | 102.4 B | ||
| 1 - Compute Capability - Legacy CUDA GPU Compute Capability.url | 102.4 B | ||
| 1 - Compute Capability.mp4 | 52.5 MB | ||
| 1 - Introduction.mp4 | 9 MB | ||
| 1 - Next Steps - Next Steps.pptx | 545.5 KB | ||
| 1 - Next Steps.html | 102.4 B | ||
| 1 -CUDA GPU Compute Capability.url | 102.4 B | ||
| 1 -Legacy CUDA GPU Compute Capability.url | 102.4 B | ||
| 2 - CUDA Programmming Model - CUDA C++ Programming Guide.url | 102.4 B | ||
| 2 - CUDA Programmming Model - Easy Introduction to CUDA C and C++.url | 102.4 B | ||
| 2 - CUDA Programmming Model.mp4 | 40.3 MB | ||
| 2 - Why GPU needed - CUDA C++ Programming Guide.url | 102.4 B | ||
| 2 - Why GPU needed - Cache Types.url | 102.4 B | ||
| 2 - Why GPU needed - GPU for Artificial Intelligence.url | 102.4 B | ||
| 2 - Why GPU needed - NVIDIA Geforce RTX.url | 102.4 B | ||
| 2 - Why GPU needed.mp4 | 24.7 MB | ||
| 2 -CUDA C++ Programming Guide.url | 102.4 B | ||
| 2 -Cache Types.url | 102.4 B | ||
| 2 -Easy Introduction to CUDA C and C++.url | 102.4 B | ||
| 2 -GPU for Artificial Intelligence.url | 102.4 B | ||
| 2 -NVIDIA Geforce RTX.url | 102.4 B | ||
| 3 - Hello World - CUDA C++ Programming Guide.url | 102.4 B | ||
| 3 - Hello World - CUDA Zone.url | 102.4 B | ||
| 3 - Hello World.mp4 | 74.9 MB | ||
| 3 - Integrated vs Dedicated GPU - AMD Ryzen.url | 102.4 B | ||
| 3 - Integrated vs Dedicated GPU - AMD vs Intel vs NVIDIA.url | 102.4 B | ||
| 3 - Integrated vs Dedicated GPU - Integrated Vs Dedicated.url | 102.4 B | ||
| 3 - Integrated vs Dedicated GPU - NVIDIA Ampere Architecture.url | 102.4 B | ||
| 3 - Integrated vs Dedicated GPU.mp4 | 33.5 MB | ||
| 3 -AMD Ryzen.url | 102.4 B | ||
| 3 -AMD vs Intel vs NVIDIA.url | 102.4 B | ||
| 3 -CUDA C++ Programming Guide.url | 102.4 B | ||
| 3 -CUDA Zone.url | 102.4 B | ||
| 3 -Integrated Vs Dedicated.url | 102.4 B | ||
| 3 -NVIDIA Ampere Architecture.url | 102.4 B | ||
| 4 - Thread, Blocks, Grids - CUDA C++ Programming Guide.url | 102.4 B | ||
| 4 - Thread, Blocks, Grids - CUDA Programming Model.url | 102.4 B | ||
| 4 - Thread, Blocks, Grids.mp4 | 109.7 MB | ||
| 4 - What is CUDA, NVIDIA GPU computing stack - CUDA C++ Programming Guide.url | 102.4 B | ||
| 4 - What is CUDA, NVIDIA GPU computing stack - CUDA Zone.url | 102.4 B | ||
| 4 - What is CUDA, NVIDIA GPU computing stack.mp4 | 19.9 MB | ||
| 4 -CUDA C++ Programming Guide.url | 102.4 B | ||
| 4 -CUDA Programming Model.url | 102.4 B | ||
| 4 -CUDA Zone.url | 102.4 B | ||
| 5 - Thread Indexing - Easier Introduction to CUDA.url | 102.4 B | ||
| 5 - Thread Indexing.mp4 | 79.8 MB | ||
| 5 -Easier Introduction to CUDA.url | 102.4 B | ||
| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 52 total files | |||
Learn CUDA with Google Colab: First speedup in 90 minutes
https://WebToolTip.com
Published 11/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 23m | Size: 561 MB
CUDA. NVIDIA GPU computing stack, Parallel Programming, Google Colab, HPC, CPU vs GPU Performance comparison
What you'll learn
Setup and Verify a GPU Programming environment using Google Colab
Explore CUDA Programming model
Configure threads, blocks and grids correctly to perform operations like vector addition
Calculate thread indices in 1‑D and 2‑D
Write, compile and launch basic CUDA kernels in C/C++
Benchmark and analyse performance – measure CPU vs. GPU execution time
Requirements
Basic understanding of C/C++ programming
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 1.8 GB | freecoursewb | 2 weeks | 49 | 5 | |
|
Udemy - Systematic Theology for Beginners - Learn Christian Doctrine Posted by
freecoursewb in Other
|
2.9 GB | freecoursewb | 2 weeks | 0 | 0 |
| 3.1 GB | freecoursewb | 2 weeks | 20 | 2 | |
| 2.3 GB | freecoursewb | 2 weeks | 61 | 5 | |
| 3.7 GB | freecoursewb | 4 weeks | 26 | 5 |
All Comments