| 001 1-The-concept-of-cores-CPUs-and-GPUs.pdf | 904.5 KB | ||
| 001 CPU-NN1.m | 204.8 B | ||
| 001 Check if your GPU supports parallel computing with MATLAB.mp4 | 57.4 MB | ||
| 001 Check if your GPU supports parallel computing with MATLAB_en.srt | 6 KB | ||
| 001 GPU-NN1.m | 307.2 B | ||
| 001 Lecture-3-and-4.pdf | 194.3 KB | ||
| 001 M-CPU-NN.m | 2.8 KB | ||
| 001 Practical examples on the multi-threading concept.mp4 | 112.6 MB | ||
| 001 Practical examples on the multi-threading concept_en.srt | 16 KB | ||
| 001 The concept of cores, CPUs and GPUs (important).mp4 | 131.1 MB | ||
| 001 The concept of cores, CPUs and GPUs (important)_en.srt | 19.8 KB | ||
| 001 Train the neural networks in parallel using GPUS in detail.mp4 | 290.5 MB | ||
| 001 Train the neural networks in parallel using GPUS in detail_en.srt | 35.6 KB | ||
| 001 cores-NN1.m | 204.8 B | ||
| 001 cpu1.m | 204.8 B | ||
| 001 create-NN.m | 102.4 B | ||
| 001 tttt.m | 204.8 B | ||
| 002 2-The-difference-between-the-cores-and-the-logical-processors.pdf | 195.1 KB | ||
| 002 Practical examples on the multi-workers concept.mp4 | 104.6 MB | ||
| 002 Practical examples on the multi-workers concept_en.srt | 18.6 KB | ||
| 002 Read the GP information in MATLAB.mp4 | 15.8 MB | ||
| 002 Read the GP information in MATLAB_en.srt | 3.1 KB | ||
| 002 The difference between the cores and the logical processors.mp4 | 41.9 MB | ||
| 002 The difference between the cores and the logical processors_en.srt | 5.4 KB | ||
| 002 Using multi-GPUs for training the neural networks.mp4 | 38.5 MB | ||
| 002 Using multi-GPUs for training the neural networks_en.srt | 6.4 KB | ||
| 002 cores-NN1.m | 204.8 B | ||
| 002 create-NN.m | 102.4 B | ||
| 002 test1.m | 204.8 B | ||
| 002 test2.m | 204.8 B | ||
| 003 DL-CPU.m | 1.5 KB | ||
| 003 How to control the number of cores that execute your code(practical examples).mp4 | 152 MB | ||
| 003 How to control the number of cores that execute your code(practical examples)_en.srt | 21 KB | ||
| 003 Running MATLAB functions on GPUs.mp4 | 73 MB | ||
| 003 Running MATLAB functions on GPUs_en.srt | 10.8 KB | ||
| 003 Training deep learning model in parallel using GPUs.mp4 | 128.2 MB | ||
| 003 Training deep learning model in parallel using GPUs_en.srt | 14.3 KB | ||
| 003 dl4d.m | 614.4 B | ||
| 003 k2.m | 102.4 B | ||
| 003 kk.m | 102.4 B | ||
| 004 4 mistakes when using parfor loop (be carful about them).mp4 | 29.7 MB | ||
| 004 4 mistakes when using parfor loop (be carful about them)_en.srt | 5.7 KB | ||
| 004 GPU-NN1.m | 307.2 B | ||
| 004 Important Notations to run functions on GPUs (Sharpen an image).mp4 | 54.6 MB | ||
| 004 Important Notations to run functions on GPUs (Sharpen an image)_en.srt | 6.6 KB | ||
| 004 Train deep NN in the background in parallel.mp4 | 54.8 MB | ||
| 004 Train deep NN in the background in parallel_en.srt | 9 KB | ||
| 004 kk1.m | 409.6 B | ||
| 004 mistakes1.m | 102.4 B | ||
| 004 mistakes2.m | 102.4 B | ||
| 005 Nested parfor loops.mp4 | 71.5 MB | ||
| 005 Nested parfor loops_en.srt | 10.9 KB | ||
| 005 Running codes on multiple GPUs.mp4 | 36.2 MB | ||
| 005 Running codes on multiple GPUs_en.srt | 5.1 KB | ||
| 005 nested1.m | 204.8 B | ||
| 005 nested2.m | 204.8 B | ||
| 005 nested3.m | 204.8 B | ||
| 006 nested-loops Calculating the amount of data sent to each core.mp4 | 24.1 MB | ||
| 006 nested-loops Calculating the amount of data sent to each core_en.srt | 4.6 KB | ||
| 006 nested2.m | 204.8 B | ||
| 006 nested3.m | 204.8 B | ||
| 007 Functions in parfor loop.mp4 | 25.4 MB | ||
| 007 Functions in parfor loop_en.srt | 5 KB | ||
| 007 funh1.m | 102.4 B | ||
| 007 funh2.m | 102.4 B | ||
| 008 Reduction variables (independence) in parfor loop.mp4 | 49.4 MB | ||
| 008 Reduction variables (independence) in parfor loop_en.srt | 8.3 KB | ||
| 008 red.m | 0 B | ||
| 009 displaying values inside the parfor loop.mp4 | 26.7 MB | ||
| 009 displaying values inside the parfor loop_en.srt | 5 KB | ||
| 009 var1.m | 102.4 B | ||
| 009 var2.m | 102.4 B | ||
| 010 Single instruction multiple data (SPMD).mp4 | 112.5 MB | ||
| 010 Single instruction multiple data (SPMD)_en.srt | 16.2 KB | ||
| 010 test1.m | 307.2 B | ||
| 011 Run MATLAB functions in background using parfeval.mp4 | 87.7 MB | ||
| 011 Run MATLAB functions in background using parfeval_en.srt | 15.6 KB | ||
| 012 Run MATLAB files in background using batch jobs.mp4 | 46.3 MB | ||
| 012 Run MATLAB files in background using batch jobs_en.srt | 7.8 KB | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| external-assets-links.txt | 614.4 B | ||
| ▲ 84 total files | |||
MATLAB Parallel programming on GPUs, Cores and CPUs
https://DevCourseWeb.com
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 23 lectures (3h 22m) | Size: 1.6 GB
With practical examples on every parallel programming concept including training NN and deep learning model
What you'll learn
Run Deep learning models in parallel on GPUs
Learn the difference between cores, CPUs and GPUs
Learn the concept of multi-threading in MATLAB with examples
Learn the concept of multi-workers in MATLAB with examples
measuring the performance of each parallel computing code
Learn how to convert your code to parallel computing to increase the performance
Run MATLAB files and functions in the background
Using GPUs to execute and Run MATLAB functions (Excellent performance)
Requirements
MATLAB basics
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