Update documentation.
- Add more detailed feature comparison HIP vs specific CUDA SDK revs. - Remove reference to old codenames. - Fix TOC in some md files. Change-Id: If0f6a05dc61237c4710c4d4bf2d933d556dcaeae
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* The HIP interface makes it very easy to port existing CUDA apps to run on AMD GPUs,
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* or to develop new apps that can run on either CUDA or AMD GPUs from a common source base.
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*
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* - HIP is very thin and has little or no performance impact over coding directly in CUDA NVCC or Kalmar HC mode.
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* - HIP is very thin and has little or no performance impact over coding directly in CUDA NVCC or HCC HC mode.
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* - HIP allows developers to use the "best" development environment and tools on each target platform.
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* - HIP allows coding in a single-source C++ programming language including features such as templates, C++11 lambdas,and more.
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* - "hipify" script automatically converts source from CUDA to HIP.
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* - Developers can specialize for CUDA or Kalmar to tune for performance or handle tricky cases with #ifdef.
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* - "hipify" tool automatically converts source from CUDA to HIP.
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* - Developers can specialize for CUDA or HCC to tune for performance or handle tricky cases with #ifdef.
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* - See the @ref API.
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