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
This commit is contained in:
Ben Sander
2016-07-18 13:56:13 -05:00
parent 307ea434cc
commit c3b4c6b23f
6 ha cambiato i file con 132 aggiunte e 142 eliminazioni
+3 -3
Vedi File
@@ -7,11 +7,11 @@
* The HIP interface makes it very easy to port existing CUDA apps to run on AMD GPUs,
* or to develop new apps that can run on either CUDA or AMD GPUs from a common source base.
*
* - HIP is very thin and has little or no performance impact over coding directly in CUDA NVCC or Kalmar HC mode.
* - HIP is very thin and has little or no performance impact over coding directly in CUDA NVCC or HCC HC mode.
* - HIP allows developers to use the "best" development environment and tools on each target platform.
* - HIP allows coding in a single-source C++ programming language including features such as templates, C++11 lambdas,and more.
* - "hipify" script automatically converts source from CUDA to HIP.
* - Developers can specialize for CUDA or Kalmar to tune for performance or handle tricky cases with #ifdef.
* - "hipify" tool automatically converts source from CUDA to HIP.
* - Developers can specialize for CUDA or HCC to tune for performance or handle tricky cases with #ifdef.
* - See the @ref API.