종합설계 공부자료 링크 정리 (24.02.23)

[종합설계 공부자료]
*벡터와 행렬의 차이 : https://box-world.tistory.com/8

*BLAS란? : https://computing-jhson.tistory.com/72
*SIMD (Single Instruction Multiple Data) : https://m.blog.naver.com/fs0608/221650925743
*GEMV GEMM 차이 1 : http://weekly.tta.or.kr/weekly/files/20221210041249_weekly.pdf
*GEMV GEMM 차이 2 : https://stackoverflow.com/questions/7067600/blas-gemm-vs-gemv
*Openblas 사용해보기 : https://velog.io/@alirz-pixel/blas-Openblas-%EC%82%AC%EC%9A%A9%ED%95%B4%EB%B3%B4%EA%B8%B0
*GPU warp : https://junstar92.tistory.com/277
***NVIDIA CUDA 기초 튜토리얼 (1) : https://karl6885.github.io/cuda/2018/11/08/NVIDIA-CUDA-tutorial-1/
*Optimize integer BLAS : https://github.com/mratsim/Arraymancer/issues/25
*NVIDIA Profiler : https://developer.nvidia.com/nvidia-visual-profiler
***[BLAS] Matrix Multiplication Library : https://velog.io/@springkim/BLAS-Matrix-Multiplication-Library
*BLAS reference (Apple) : https://developer.apple.com/documentation/accelerate/blas?language=objc
*Convolution 연산 및 GEMM-Convolution : https://computing-jhson.tistory.com/40
*CNN : https://minding-deep-learning.tistory.com/23
*CUDA C/C++기초 : https://junstar92.tistory.com/429
*batch size에 대하여 1 : https://losskatsu.github.io/machine-learning/epoch-batch/#1-%EC%82%AC%EC%A0%84%EC%A0%81-%EC%9D%98%EB%AF%B8
*batch size에 대하여 2 : https://bruders.tistory.com/79
***Docker 관련 블로그 글 모음 : https://junstar92.tistory.com/category/Docker?page=2
*row/column major : https://huilife.tistory.com/entry/row-major-%ED%96%89-%EC%9A%B0%EC%84%A0-column-major%EC%97%B4-%EC%9A%B0%EC%84%A0%EA%B0%80-%EC%99%9C-%EC%A4%91%EC%9A%94%ED%95%9C%EA%B0%80
*API란? 1 : https://aws.amazon.com/ko/what-is/api/
*API란? 2 : https://www.elancer.co.kr/blog/view?seq=199
*CUDA API에 대하여 : https://m.blog.naver.com/PostView.naver?isHttpsRedirect=true&blogId=lithium81&logNo=80143640568
***NVIDIA profiler : https://marcokhan.tistory.com/249
***profiler 설치 방법 : https://tkayyoo.tistory.com/10
***nsight 설치 방법 : https://yesdevelop.tistory.com/27
*library 간의 행렬곱 연산 성능 비교 : https://junstar92.tistory.com/242
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