https://github.com/hrolive/fundamentals-of-accelerated-computing-with-cuda-c-cpp

Accelerate and optimize existing C/C++ CPU-only applications using the most essential CUDA tools and techniques.
https://github.com/hrolive/fundamentals-of-accelerated-computing-with-cuda-c-cpp

cpp cuda cuda-kernels cuda-programming nsight nvidia profilling

Last synced: over 1 year ago
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Accelerate and optimize existing C/C++ CPU-only applications using the most essential CUDA tools and techniques.

• Host: GitHub
• URL: https://github.com/hrolive/fundamentals-of-accelerated-computing-with-cuda-c-cpp
• Owner: HROlive
• Created: 2023-11-08T16:54:37.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2024-05-23T16:01:08.000Z (about 2 years ago)
• Last Synced: 2025-03-24T13:51:16.617Z (over 1 year ago)
• Topics: cpp, cuda, cuda-kernels, cuda-programming, nsight, nvidia, profilling
• Language: Jupyter Notebook
• Homepage:
• Size: 4.66 MB
• Stars: 3
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
![Course](images/banner.png)

## Table of Contents

1. [Description](#description)

2. [Certificate](#certificate)



## Description

The CUDA computing platform enables the acceleration of CPU-only applications to run on the world’s fastest massively parallel GPUs. Experience C/C++ application acceleration by:

- Accelerating CPU-only applications to run their latent parallelism on GPUs

- Utilizing essential CUDA memory management techniques to optimize accelerated applications

- Exposing accelerated application potential for concurrency and exploiting it with CUDA streams

- Leveraging the command line and visual profiling to guide and check your work

Upon completion, you’ll be able to accelerate and optimize existing C/C++ CPU-only applications using the most essential CUDA tools and techniques. You’ll understand an iterative style of CUDA development that will allow you to ship accelerated applications fast.



## Certificate

The certificates for the workshops can be found below:

- ["Fundamentals of Accelerated Computing with CUDA C/C++" - NVIDIA Deep Learning Institute](https://learn.nvidia.com/certificates?id=gDyAwbPkQuSzB6kYW2FV_Q) (Issued On: November 2023)

- ["Deep Learning and GPU programming workshop" - LRZ: Leibniz Supercomputing Centre](https://github.com/HROlive/Fundamentals-of-Accelerated-Computing-with-CUDA-C-Cpp/blob/main/images/certificate.pdf) (Issued On: November 2023)