Understanding GPU Terminologies | Architecture of GPU #ai #gpu #nvidia #cuda #matrixoperations

Learn GPGPU Programming using NVIDIA CUDA & C++ — and run GPU code even without owning a GPU!
In this video, I teach you the architecture of GPU in detail which will help you in writing the gpu code better .

website link - https://www.3eyedtech.com

This video is perfect if you are:

A C/C++ developer
A software engineer curious about GPU programming
A student learning CUDA
Someone preparing for AI, ML, or HPC
Wanting to use GPU without buying expensive hardware

What you will learn:
What is GPGPU programming (in simple language)
How CUDA works internally
Writing your first CUDA kernel in C++

CPU vs GPU execution model
Threads, blocks & grids explained
How to compile and run CUDA code
Run CUDA code on AWS EC2 GPU instance
Run GPU code on FREE cloud resource

Tech used:

C++
NVIDIA CUDA
AWS EC2 GPU
Cloud GPU (Free)
Linux
NVCC compiler

If you appreciate the content and the hard work, Please 𝐬𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 - https://www.youtube.com/@Amit-Educosys

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https://www.educosys.com

Checkout my c++ course here - https://www.educosys.com/course/cpp-with-networking

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You can also connect with me on-
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The video contains the following parts:
0:00 Intro
1:41 CPU Architecture
8:11 GPU Architecture
14:33 GPU terminologies explained
21:14 Streaming Multiprocessor
25:05 Thread Scheduling
27:10 Warp
30:30 How kernel is assigned on SM
50:07 Understanding index of thread
52:58 thread divergence
57:40 GPU Memory
1:01:04 Memory Coalescing
1:03:39 Memory Tiling
1:06:51 3eyedtech website for revision
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Видео Understanding GPU Terminologies | Architecture of GPU #ai #gpu #nvidia #cuda #matrixoperations канала 3eyedtech