Download Udemy - MATLAB Parallel programming on GPUs, Cores and CPUs torrent

Udemy - MATLAB Parallel programming on GPUs, Cores and CPUs

Torrent:	Udemy - MATLAB Parallel programming on GPUs, Cores and CPUs
Description:	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
Downloads:	53
Category:	Other /Tutorials
Size:	1.7 GB
Show Files »	[ DevCourseWeb.com ] Udemy - MATLAB Parallel programming on GPUs, Cores and CPUs Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 01 - Introduction 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) 02 - Multi-threading and Multi-cores with practical examples 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 (0.2 KB) 001 tttt.m (0.2 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 test1.m (0.2 KB) 002 test2.m (0.2 KB) 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 (0.1 KB) 004 mistakes2.m (0.1 KB) 005 Nested parfor loops.mp4 (71.5 MB) 005 Nested parfor loops_en.srt (10.9 KB) 005 nested1.m (0.2 KB) 005 nested2.m (0.2 KB) 005 nested3.m (0.2 KB) 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 (0.2 KB) 006 nested3.m (0.2 KB) 007 Functions in parfor loop.mp4 (25.4 MB) 007 Functions in parfor loop_en.srt (5.0 KB) 007 funh1.m (0.1 KB) 007 funh2.m (0.1 KB) 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 (0.0 KB) 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 (0.1 KB) 009 var2.m (0.1 KB) 010 Single instruction multiple data (SPMD).mp4 (112.5 MB) 010 Single instruction multiple data (SPMD)_en.srt (16.2 KB) 010 test1.m (0.3 KB) 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 (0.3 KB) 03 - GPU parallel programming in MATLAB 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 (0.1 KB) 003 kk.m (0.1 KB) 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 (0.4 KB) 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 (0.2 KB) 04 - Run Deep learning and Neural network GPUS (parallel) 001 CPU-NN1.m (0.2 KB) 001 GPU-NN1.m (0.3 KB) 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 (0.2 KB) 001 create-NN.m (0.1 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 (0.2 KB) 002 create-NN.m (0.1 KB) 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 (0.6 KB) 004 GPU-NN1.m (0.3 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 (9.0 KB) external-assets-links.txt (0.6 KB) Bonus Resources.txt (0.4 KB) files
Added:	2022-01-14 10:04:34
Language:	English
Peers:	Seeders : 6 , Leechers : 12
Tags:	Development MATLAB Udemy
Release name:	Udemy - MATLAB Parallel programming on GPUs, Cores and CPUs
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