update README for new make/installation steps, new FAQ
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@@ -34,30 +34,34 @@ Make sure HIP_PATH is pointed to `/where/to/install/hip` and PATH includes `$HIP
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## How do I get set up?
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### Prerequisites - Choose Your Platform
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HIP code can be developed either on AMD HSA or Boltzmann platform using hcc compiler, or a CUDA platform with nvcc installed:
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HIP code can be developed either on AMD ROCm platform using hcc compiler, or a CUDA platform with nvcc installed:
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#### AMD (hcc):
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* Install [hcc](https://bitbucket.org/multicoreware/hcc/wiki/Home) including supporting HSA kernel and runtime driver stack
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* By default HIP looks for hcc in /opt/hcc (can be overridden by setting HCC_HOME environment variable)
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* By default HIP looks for HSA in /opt/hsa (can be overridden by setting HSA_PATH environment variable)
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* By default HIP looks for hcc in /opt/rocm/hcc (can be overridden by setting HCC_HOME environment variable)
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* By default HIP looks for HSA in /opt/rocm/hsa (can be overridden by setting HSA_PATH environment variable)
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* Ensure that ROCR runtime is installed and added to LD_LIBRARY_PATH
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* Install HIP (from this GitHub repot). By default HIP is installed into /opt/rocm/hip (can be overridden by setting HIP_PATH environment variable).
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* Optionally, consider adding /opt/rocm/bin to your path to make it easier to use the tools.
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#### NVIDIA (nvcc)
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* Install CUDA SDK from manufacturer website
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* By default HIP looks for CUDA SDK in /usr/local/cuda (can be overriden by setting CUDA_PATH env variable)
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### Add HIP/bin to your path.
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For example, if this repot is cloned to ~/HIP, and you are running bash:
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```
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> export PATH=$PATH:~/HIP/bin
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#### Verify your installation
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Run hipconfig (instructions below assume default installation path) :
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```
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Verify your can find hipconfig (one of the hip tools in bin dir):
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```
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> hipconfig -pn
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/home/me/HIP
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> /opt/rocm/bin/hipconfig --full
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```
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Compile and run the [square sample](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/tree/master/samples/0_Intro/square).
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### HCC Options
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#### Compiling CodeXL markers for HIP Functions
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@@ -107,9 +107,15 @@ HIP is a portable C++ language that supports a strong subset of the CUDA run-tim
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A C++ dialect, hc is supported by the AMD HCC compiler. It provides C++ run time, C++ kernel-launch APIs (parallel_for_each), C++ kernel language, and several memory-management options, including pointers, arrays and array_view (with implicit data synchronization). It's intended to be a leading indicator of the ISO C++ standard.
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### HIP detected my platform (hcc vs nvcc) incorrectly - what should I do?
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HIP will set the platform to HCC if it sees that the AMD graphics driver is installed and has detected an AMD GPU.
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Sometimes this isn't what you want - you can force HIP to recognize the platform by setting HIP_PLATFORM to hcc (or nvcc)
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```
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export HIP_PLATFORM=hcc
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```
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One symptom of this problem is the message "error: 'unknown error'(11) at square.hipref.cpp:56". This can occur if you have a CUDA installation on an AMD platform, and HIP incorrectly detects the platform as nvcc. HIP may be able to compile the application using the nvcc tool-chain, but will generate this error at runtime since the platform does not have a CUDA device. The fix is to set HIP_PLATFORM=hcc and rebuild the issue.
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If you see issues related to incorrect platform detection, please file an issue with the GitHub issue tracker so we can improve HIP's platform detection logic.
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