Udemy - Learn CUDA with Docker!

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[ DevCourseWeb.com ] Udemy - Learn CUDA with Docker!
  • Get Bonus Downloads Here.url (0.2 KB)
  • ~Get Your Files Here ! 1. Introduction
    • 1. Welcome!.mp4 (18.5 MB)
    • 1. Welcome!.srt (1.3 KB)
    • 10. Run first CUDA code on Docker container without any GPUs!.mp4 (38.3 MB)
    • 10. Run first CUDA code on Docker container without any GPUs!.srt (7.6 KB)
    • 2. Why Get this Course.mp4 (24.8 MB)
    • 2. Why Get this Course.srt (1.7 KB)
    • 3. Instructor.mp4 (9.6 MB)
    • 3. Instructor.srt (0.7 KB)
    • 4. Practice C++ with Interactive Shell.mp4 (6.0 MB)
    • 4. Practice C++ with Interactive Shell.srt (0.3 KB)
    • 5. Introduction.mp4 (33.0 MB)
    • 5. Introduction.srt (3.2 KB)
    • 6. Create a virtual machine (droplet).mp4 (22.1 MB)
    • 6. Create a virtual machine (droplet).srt (6.3 KB)
    • 7. Access droplet and setup with docker.mp4 (37.9 MB)
    • 7. Access droplet and setup with docker.srt (6.3 KB)
    • 8. What is the GPGPU-SIM (Simulator).mp4 (20.6 MB)
    • 8. What is the GPGPU-SIM (Simulator).srt (3.7 KB)
    • 9. Setup the GPU Simulator with Docker.mp4 (49.6 MB)
    • 9. Setup the GPU Simulator with Docker.srt (9.3 KB)
    10. Additonal Contents
    • 1. How to access the Live Class and Code Playgrounds.mp4 (13.8 MB)
    • 1. How to access the Live Class and Code Playgrounds.srt (0.8 KB)
    2. CUDA foundation
    • 1. What the hell is CUDA.mp4 (28.2 MB)
    • 1. What the hell is CUDA.srt (4.6 KB)
    • 2. Relation between GPUS and CUDA.mp4 (20.8 MB)
    • 2. Relation between GPUS and CUDA.srt (2.6 KB)
    • 3. How does CUDA work.mp4 (16.5 MB)
    • 3. How does CUDA work.srt (4.5 KB)
    3. CUDA threads, blocks and grid
    • 1. Foundation of CUDA Threads, blocks and grid.mp4 (39.6 MB)
    • 1. Foundation of CUDA Threads, blocks and grid.srt (4.3 KB)
    • 2. How to index a CUDA thread in 1D.mp4 (7.8 MB)
    • 2. How to index a CUDA thread in 1D.srt (2.3 KB)
    • 3. Index a CUDA thread in 2D.mp4 (6.5 MB)
    • 3. Index a CUDA thread in 2D.srt (1.5 KB)
    4. CUDA memory models
    • 1. Memory models.mp4 (12.4 MB)
    • 1. Memory models.srt (1.6 KB)
    5. CUDA vector addition
    • 1. CUDA Hello World!.mp4 (33.0 MB)
    • 1. CUDA Hello World!.srt (6.2 KB)
    • 2. CUDA simple addition (theory).mp4 (37.9 MB)
    • 2. CUDA simple addition (theory).srt (8.7 KB)
    • 3. CUDA simple addition (demonstration).mp4 (60.7 MB)
    • 3. CUDA simple addition (demonstration).srt (7.2 KB)
    • 4. CUDA addition (Multiple Blocks).mp4 (29.1 MB)
    • 4. CUDA addition (Multiple Blocks).srt (6.7 KB)
    • 5. CUDA addition (Multiple Threads).mp4 (18.0 MB)
    • 5. CUDA addition (Multiple Threads).srt (4.1 KB)
    • 6. CUDA vector addition (demonstration).mp4 (55.1 MB)
    • 6. CUDA vector addition (demonstration).srt (6.3 KB)
    6. CUDA matrix multiplication
    • 1. Introduction.mp4 (18.0 MB)
    • 1. Introduction.srt (4.1 KB)
    • 2. CUDA matrix multiplication (Theory).mp4 (14.5 MB)
    • 2. CUDA matrix multiplication (Theory).srt (4.9 KB)
    • 3. CUDA code (matrix multiplication).mp4 (55.8 MB)
    • 3. CUDA code (matrix multiplication).srt (9.5 KB)
    • 4. Execute the matrix multiplication code.mp4 (24.8 MB)
    • 4. Execute the matrix multiplication code.srt (4.2 KB)
    8. NVIDIA Docker Container Toolkit
    • 1. How to install NVIDIA Docker Container Toolkit.mp4 (29.2 MB)
    • 1. How to install NVIDIA Docker Container Toolkit.srt (5.2 KB)
    9. CUDA for Dummies
    • 1. CUDA High Level Concetps.mp4 (41.6 MB)
    • 1. CUDA High Level Concetps.srt (11.6 KB)
    • 2. Programming Model.mp4 (35.5 MB)
    • 2. Programming Model.srt (9.5 KB)
    • 3. Parallel for-loop.mp4 (32.2 MB)
    • 3. Parallel for-loop.srt (7.6 KB)
    • 4. Indexing.mp4 (36.1 MB)
    • 4. Indexing.srt (6.7 KB)
    • 5. Memory.mp4 (74.3 MB)
    • 5. Memory.srt (15.3 KB)
    • 6. Synchronization.mp4 (27.2 MB)
    • 6. Synchronization.srt (7.7 KB)
    • Bonus Resources.txt (0.3 KB)

Description

Learn CUDA with Docker!



https://DevCourseWeb.com

Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 1 GB
Genre: eLearning Video | Duration: 44 lectures (2 hour, 58 mins) | Language: English
Learrn to Code with CUDA with GPGPU-Simulators & Docker, Kickstart Your Computing and Data Science Career!
What you'll learn

How to code with CUDA, but without a GPU!
Basic knowladge about CUDA programming
Ability to desing and implement CUDA parallel algorithms

Description

WELCOME!



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