There are some shortcomings in terms of practical application, but the explanation is detailed and easy to understand.

kissureng4871

✅ Among the series of (1) to (6), (2) Simultaneous addition of vectors (1D arrays) in parallel ✅ NVIDIA GPU + CUDA programming is explained step by step from the basics. ✅ It processes arrays/matrices/image processing/statistical processing/sorting, etc. very quickly with parallel computing in C++/C language.

onemoresipofcoffee

CUDA Programming (2) - C/C++/GPU Parallel Computing - Vector Addition

커널

nvidia

입문

초급

중급이상

쿠다

CUDA

그래픽 처리 장치

Parallel Processing

C언어

10. elapsed time - measuring the execution time of a program

11. CUDA kernel launch - Execution of CUDA kernel function

12. vector addition - Adding 1-dimensional arrays (vectors)

13. Giga Addition - Giga Unit Vector Addition

14. AXPY and FMA - AXPY routines and FMA operations

15. thread and GPU - Thread and GPU structure

00. Preparation before the lecture (duplicated with the end of Part 0)