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Udemy - Beginning CUDA Programming - Zero to Hero, First Course!

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Udemy - Beginning CUDA Programming - Zero to Hero, First Course! (Size: 635.3 MB)
  1. Concepts.mp4 41.6 MB
  1. How to Get the Interactive Playgrounds.mp4 13.8 MB
  1. Welcome!.mp4 18.3 MB
  10. Introduction to GPGPU -documentation.html 3 KB
  11. CUDA Threads and Blocks in 1D.mp4 9.4 MB
  12. CUDA Threads and Blocks in 2D.mp4 7.7 MB
  13. CUDA Memory Hierarchy.mp4 7.6 MB
  14. CUDA Threads Programming - documentation.html 3.7 KB
  15. CUDA Hello World! code example.mp4 7.9 MB
  16. CUDA variable addtion on the device (1 block and 1 thread).mp4 16.2 MB
  17. CUDA vector addtion (N blocks and 1 Thread).mp4 12.6 MB
  18. CUDA vector addition (1 Block and N threads).mp4 7.4 MB
  19. CUDA variable addtion (N blocks and N threads).mp4 13.2 MB
  2. Free CUDA interactive playgrounds.html 614.4 B
  2. Model.mp4 35.5 MB
  2. Why Get this Course.mp4 24.8 MB
  20. Source Code (Vector Addition).html 102.4 B
  21. Matrix Multiplication (Revisited).mp4 7.8 MB
  22. Matrix Multiplication (CPU code vs. GPU code).mp4 8 MB
  23. Shared memory matrix muliplication (CUDA code).mp4 22.2 MB
  24. How to execute the CUDA code (Matrix Multiplication).mp4 9.6 MB
  25. Source Code (Matrix Multiplication).html 102.4 B
  26. CUDA Quiz.html 204.8 B
  3. Instructor.mp4 9.6 MB
  3. Parallel For-loop.mp4 32.3 MB
  4. Indexing.mp4 36.1 MB
  4. Interactive Shell for Practice C++.mp4 6 MB
  5. Heterogenous Computing and CUDA.mp4 20.2 MB
  5. Memory.mp4 74.2 MB
  6. GPGPU software layer.mp4 9.1 MB
  6. Synchronization.mp4 12.9 MB
  7. GPGPU Schema.mp4 5.9 MB
  8. GPU Technology - Comparison.mp4 8 MB
  9. CUDA device, thread, blocks and grids.mp4 7.4 MB
  Bonus Resources.txt 307.2 B
  Browse.VC.db 35.7 MB
  Get Bonus Downloads Here.url 204.8 B
  MATRIXMUL.ipch 71.6 MB
  link.command.1.tlog 1.6 KB
  link.read.1.tlog 3 KB
  link.write.1.tlog 409.6 B
  matrixMul.Build.CppClean.log 1 KB
  matrixMul.cu 13.5 KB
  matrixMul.cu.cache 1.3 KB
  matrixMul.cu.obj 337.5 KB
  matrixMul.cu284667256.deps 43.6 KB
  matrixMul.lastbuildstate 204.8 B
  matrixMul.write.1u.tlog 1 KB
  matrixMul_vs2010.sln 819.2 B
  matrixMul_vs2010.vcxproj 4.6 KB
  matrixMul_vs2012.sln 819.2 B
  matrixMul_vs2012.vcxproj 4.7 KB
  matrixMul_vs2013.sln 819.2 B
  matrixMul_vs2013.vcxproj 4.7 KB
  matrixMul_vs2015.VC.db 30.7 MB
  matrixMul_vs2015.log 204.8 B
  matrixMul_vs2015.sln 819.2 B
  matrixMul_vs2015.vcxproj 4.7 KB
  matrixMul_vs2017.log 102.4 B
  matrixMul_vs2017.sln 819.2 B
  matrixMul_vs2017.vcxproj 4.7 KB
  matrixMul_vs2017.vcxproj.user 204.8 B
  readme.txt 307.2 B
  suo 18.5 KB
  vc140.pdb 364 KB
  vectorAdd.Build.CppClean.log 1 KB
  vectorAdd.cu 5.7 KB
  vectorAdd.cu-1979250463.deps 30.2 KB
  vectorAdd.cu.cache 1.3 KB
  vectorAdd.cu.obj 248.5 KB
  vectorAdd.lastbuildstate 204.8 B
  vectorAdd.write.1u.tlog 1 KB
  vectorAdd_vs2010.sln 819.2 B
  vectorAdd_vs2010.vcxproj 4.6 KB
  vectorAdd_vs2012.sln 819.2 B
  vectorAdd_vs2012.vcxproj 4.7 KB
  vectorAdd_vs2013.sln 819.2 B
  vectorAdd_vs2013.vcxproj 4.7 KB
  vectorAdd_vs2015.VC.db 10.3 MB
  vectorAdd_vs2015.log 204.8 B
  vectorAdd_vs2015.sln 819.2 B
  vectorAdd_vs2015.vcxproj 4.7 KB
  vectorAdd_vs2017.sln 819.2 B
  vectorAdd_vs2017.vcxproj 4.7 KB
  ▲ 91 total files

Description


Beginning CUDA Programming: Zero to Hero, First Course!
https://CourseMega.com

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 33 lectures (2h 19m) | Size: 467.6 MB
Learn CUDA programming with GPGPU, kickstart your Big Data and Data Science Career!
What you'll learn:
GPU programming with CUDA
Understanding the basics of GPU architecture
Writing programs in CUDA language with the latest CUDA toolkit

Requirements
C/C++ programming
Visual Studio 2017 IDE (Free Community Edition)
CUDA Toolkit (Version 10.0 Latest)

Description
WELCOME!

This is the first CUDA programming course on the Udemy platform. It aims to introduce the NVIDIA's CUDA parallel architecture and programming model in an easy-to-understand way where-ever appropriate. This is the first course of the Scientific Computing Essentials master class. We plan to update the lessons and add more lessons and exercises every month!

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