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