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Checked by:
Category:
Language:
English
Total Size:
1.7 GB
Info Hash:
B8535C18F0D5918C463954A6BA1BD8E1BA80CB0D
Added By:
Added:
Oct. 24, 2023, 10:39 a.m.
Stats:
|
(Last updated: May 19, 2025, 1:34 p.m.)
| File | Size |
|---|---|
| Get Bonus Downloads Here.url | 182 bytes |
| 001 1-The-concept-of-cores-CPUs-and-GPUs.pdf | 904.5 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 |
| 002 2-The-difference-between-the-cores-and-the-logical-processors.pdf | 195.1 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 |
| 001 Lecture-3-and-4.pdf | 194.3 KB |
| 001 Practical examples on the multi-threading concept.mp4 | 112.6 MB |
| 001 Practical examples on the multi-threading concept_en.srt | 16.0 KB |
| 001 cpu1.m | 155 bytes |
| 001 tttt.m | 159 bytes |
| 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 test1.m | 156 bytes |
| 002 test2.m | 161 bytes |
| 003 How to control the number of cores that execute your code(practical examples).mp4 | 152.0 MB |
| 003 How to control the number of cores that execute your code(practical examples)_en.srt | 21.0 KB |
| 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 mistakes1.m | 95 bytes |
| 004 mistakes2.m | 97 bytes |
| 005 Nested parfor loops.mp4 | 71.5 MB |
| 005 Nested parfor loops_en.srt | 10.9 KB |
| 005 nested1.m | 165 bytes |
| 005 nested2.m | 204 bytes |
| 005 nested3.m | 204 bytes |
| 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 | 202 bytes |
| 006 nested3.m | 202 bytes |
| 007 Functions in parfor loop.mp4 | 25.4 MB |
| 007 Functions in parfor loop_en.srt | 5.0 KB |
| 007 funh1.m | 55 bytes |
| 007 funh2.m | 61 bytes |
| 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 | 49 bytes |
| 009 displaying values inside the parfor loop.mp4 | 26.7 MB |
| 009 displaying values inside the parfor loop_en.srt | 5.0 KB |
| 009 var1.m | 139 bytes |
| 009 var2.m | 145 bytes |
| 010 Single instruction multiple data (SPMD).mp4 | 112.5 MB |
| 010 Single instruction multiple data (SPMD)_en.srt | 16.2 KB |
| 010 test1.m | 284 bytes |
| 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 |
| external-assets-links.txt | 303 bytes |
| 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 | 6.0 KB |
| 002 Read the GP information in MATLAB.mp4 | 15.8 MB |
| 002 Read the GP information in MATLAB_en.srt | 3.1 KB |
| 003 Running MATLAB functions on GPUs.mp4 | 73.0 MB |
| 003 Running MATLAB functions on GPUs_en.srt | 10.8 KB |
| 003 k2.m | 102 bytes |
| 003 kk.m | 127 bytes |
| 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 kk1.m | 382 bytes |
| 005 Running codes on multiple GPUs.mp4 | 36.2 MB |
| 005 Running codes on multiple GPUs_en.srt | 5.1 KB |
| external-assets-links.txt | 172 bytes |
| 001 CPU-NN1.m | 198 bytes |
| 001 GPU-NN1.m | 264 bytes |
| 001 M-CPU-NN.m | 2.8 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 | 241 bytes |
| 001 create-NN.m | 92 bytes |
| 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 | 241 bytes |
| 002 create-NN.m | 92 bytes |
| 003 DL-CPU.m | 1.5 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 | 593 bytes |
| 004 GPU-NN1.m | 264 bytes |
| 004 Train deep NN in the background in parallel.mp4 | 54.8 MB |
| 004 Train deep NN in the background in parallel_en.srt | 9.0 KB |
| external-assets-links.txt | 621 bytes |
| Bonus Resources.txt | 386 bytes |
Name
DL
Uploader
Size
S/L
Added
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975.1 MB
[0
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2]
2023-10-24
| Uploaded by freecoursewb | Size 975.1 MB | Health [ 0 /2 ] | Added 2023-10-24 |
NOTE
SOURCE: Udemy MATLAB Parallel programming on GPUs Cores and CPUs
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