dlghdwn0084660

✅ (4) Multiplying Matrices (2D Arrays) in Parallel, out of the complete series from (1) to (6) ✅ Explaining NVIDIA GPU + CUDA programming step-by-step from the basics. ✅ Processing arrays, matrices, image processing, statistical processing, sorting, etc., extremely fast using parallel computing with C++/C languages.

onemoresipofcoffee

CUDA Programming (4) - C/C++/GPU Parallel Computing - Matrix Multiplication

커널

nvidia

입문

초급

중급이상

쿠다

CUDA

그래픽 처리 장치

Parallel Processing

C언어

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

22. matrix copy - matrix copy

23. matrix transpose - transpose matrix

24. matrix multiplication - matrix multiplication

25. GEMM - general matrix-to-matrix multiplication

26. speed check - Check execution speed

27. floating point numvers - floating point number