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Udemy MATLAB Parallel programming on GPUs Cores and CPUs

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Udemy MATLAB Parallel programming on GPUs Cores and CPUs
Language: English
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Size: 1.7 GB
Added: Oct. 24, 2023, 10:39 a.m.
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Files:
  1. Get Bonus Downloads Here.url 182 bytes
  2. 001 1-The-concept-of-cores-CPUs-and-GPUs.pdf 904.5 KB
  3. 001 The concept of cores, CPUs and GPUs (important).mp4 131.1 MB
  4. 001 The concept of cores, CPUs and GPUs (important)_en.srt 19.8 KB
  5. 002 2-The-difference-between-the-cores-and-the-logical-processors.pdf 195.1 KB
  6. 002 The difference between the cores and the logical processors.mp4 41.9 MB
  7. 002 The difference between the cores and the logical processors_en.srt 5.4 KB
  8. 001 Lecture-3-and-4.pdf 194.3 KB
  9. 001 Practical examples on the multi-threading concept.mp4 112.6 MB
  10. 001 Practical examples on the multi-threading concept_en.srt 16.0 KB
  11. 001 cpu1.m 155 bytes
  12. 001 tttt.m 159 bytes
  13. 002 Practical examples on the multi-workers concept.mp4 104.6 MB
  14. 002 Practical examples on the multi-workers concept_en.srt 18.6 KB
  15. 002 test1.m 156 bytes
  16. 002 test2.m 161 bytes
  17. 003 How to control the number of cores that execute your code(practical examples).mp4 152.0 MB
  18. 003 How to control the number of cores that execute your code(practical examples)_en.srt 21.0 KB
  19. 004 4 mistakes when using parfor loop (be carful about them).mp4 29.7 MB
  20. 004 4 mistakes when using parfor loop (be carful about them)_en.srt 5.7 KB
  21. 004 mistakes1.m 95 bytes
  22. 004 mistakes2.m 97 bytes
  23. 005 Nested parfor loops.mp4 71.5 MB
  24. 005 Nested parfor loops_en.srt 10.9 KB
  25. 005 nested1.m 165 bytes
  26. 005 nested2.m 204 bytes
  27. 005 nested3.m 204 bytes
  28. 006 nested-loops Calculating the amount of data sent to each core.mp4 24.1 MB
  29. 006 nested-loops Calculating the amount of data sent to each core_en.srt 4.6 KB
  30. 006 nested2.m 202 bytes
  31. 006 nested3.m 202 bytes
  32. 007 Functions in parfor loop.mp4 25.4 MB
  33. 007 Functions in parfor loop_en.srt 5.0 KB
  34. 007 funh1.m 55 bytes
  35. 007 funh2.m 61 bytes
  36. 008 Reduction variables (independence) in parfor loop.mp4 49.4 MB
  37. 008 Reduction variables (independence) in parfor loop_en.srt 8.3 KB
  38. 008 red.m 49 bytes
  39. 009 displaying values inside the parfor loop.mp4 26.7 MB
  40. 009 displaying values inside the parfor loop_en.srt 5.0 KB
  41. 009 var1.m 139 bytes
  42. 009 var2.m 145 bytes
  43. 010 Single instruction multiple data (SPMD).mp4 112.5 MB
  44. 010 Single instruction multiple data (SPMD)_en.srt 16.2 KB
  45. 010 test1.m 284 bytes
  46. 011 Run MATLAB functions in background using parfeval.mp4 87.7 MB
  47. 011 Run MATLAB functions in background using parfeval_en.srt 15.6 KB
  48. 012 Run MATLAB files in background using batch jobs.mp4 46.3 MB
  49. 012 Run MATLAB files in background using batch jobs_en.srt 7.8 KB
  50. external-assets-links.txt 303 bytes
  51. 001 Check if your GPU supports parallel computing with MATLAB.mp4 57.4 MB
  52. 001 Check if your GPU supports parallel computing with MATLAB_en.srt 6.0 KB
  53. 002 Read the GP information in MATLAB.mp4 15.8 MB
  54. 002 Read the GP information in MATLAB_en.srt 3.1 KB
  55. 003 Running MATLAB functions on GPUs.mp4 73.0 MB
  56. 003 Running MATLAB functions on GPUs_en.srt 10.8 KB
  57. 003 k2.m 102 bytes
  58. 003 kk.m 127 bytes
  59. 004 Important Notations to run functions on GPUs (Sharpen an image).mp4 54.6 MB
  60. 004 Important Notations to run functions on GPUs (Sharpen an image)_en.srt 6.6 KB
  61. 004 kk1.m 382 bytes
  62. 005 Running codes on multiple GPUs.mp4 36.2 MB
  63. 005 Running codes on multiple GPUs_en.srt 5.1 KB
  64. external-assets-links.txt 172 bytes
  65. 001 CPU-NN1.m 198 bytes
  66. 001 GPU-NN1.m 264 bytes
  67. 001 M-CPU-NN.m 2.8 KB
  68. 001 Train the neural networks in parallel using GPUS in detail.mp4 290.5 MB
  69. 001 Train the neural networks in parallel using GPUS in detail_en.srt 35.6 KB
  70. 001 cores-NN1.m 241 bytes
  71. 001 create-NN.m 92 bytes
  72. 002 Using multi-GPUs for training the neural networks.mp4 38.5 MB
  73. 002 Using multi-GPUs for training the neural networks_en.srt 6.4 KB
  74. 002 cores-NN1.m 241 bytes
  75. 002 create-NN.m 92 bytes
  76. 003 DL-CPU.m 1.5 KB
  77. 003 Training deep learning model in parallel using GPUs.mp4 128.2 MB
  78. 003 Training deep learning model in parallel using GPUs_en.srt 14.3 KB
  79. 003 dl4d.m 593 bytes
  80. 004 GPU-NN1.m 264 bytes
  81. 004 Train deep NN in the background in parallel.mp4 54.8 MB
  82. 004 Train deep NN in the background in parallel_en.srt 9.0 KB
  83. external-assets-links.txt 621 bytes
  84. Bonus Resources.txt 386 bytes

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