Introduction to OpenACC - Office Hour 1

Introduction to OpenACC - Office Hour 1

NVIDIA Developer via YouTube Direct link

Introduction

1 of 44

1 of 44

Introduction

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Introduction to OpenACC - Office Hour 1

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  1. 1 Introduction
  2. 2 Justin Lutem
  3. 3 CUDA vs OpenACC
  4. 4 OpenMP vs OpenACC
  5. 5 Supported OS
  6. 6 PGI
  7. 7 Libraries
  8. 8 Multiple GPUs
  9. 9 Matlab with Parallel Toolbox
  10. 10 How many dimensions
  11. 11 Two applications run in parallel
  12. 12 How many kernels can I generate
  13. 13 Where can you find help
  14. 14 Stack Overflow
  15. 15 Parallel for All
  16. 16 GPU Technology Conference
  17. 17 Free Fortran Compilers
  18. 18 STL Vectors
  19. 19 Shared or Distributed Memory
  20. 20 Xeon Phi
  21. 21 Can we use PGI
  22. 22 Does the data region need to go outside of the Colonels region
  23. 23 OpenACC compiler for GCC
  24. 24 Thank you
  25. 25 Nvidia GPU Toolkit
  26. 26 Does OpenACC support a 4 dimensional array
  27. 27 Does OpenACC support multiple dimension array
  28. 28 Find Questions
  29. 29 Gangs Vectors
  30. 30 Inner Loop Vectors
  31. 31 OpenACC vs CUDA
  32. 32 Learning is OpenACC easier
  33. 33 Synchronization
  34. 34 Manuel Gang Work
  35. 35 Zero Copy
  36. 36 Does OpenACC support Zero Copy
  37. 37 Is FFT1 optimized for OpenACC
  38. 38 How effective is OpenACC
  39. 39 Async claws
  40. 40 Compatibility
  41. 41 Does OpenACC automatically use multiple GPUs
  42. 42 What accelerators are supported by OpenACC
  43. 43 CUDA or OpenACC
  44. 44 Questions

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