Fix various typos
Conflicts: README.md Change-Id: Ie296d503d16121a62fed1a208352ec2b81c97fd9
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Maneesh Gupta
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@@ -88,7 +88,7 @@ The HIP Runtime API code and compute kernel definition can exist in the same sou
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## HIP Portability and Compiler Technology
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HIP C++ code can be compiled with either :
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- On the Nvidia CUDA platform, HIP provides header file which translate from the HIP runtime APIs to CUDA runtime APIs. The header file contains mostly inlined
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- On the NVIDIA CUDA platform, HIP provides header file which translate from the HIP runtime APIs to CUDA runtime APIs. The header file contains mostly inlined
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functions and thus has very low overhead - developers coding in HIP should expect the same performance as coding in native CUDA. The code is then
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compiled with nvcc, the standard C++ compiler provided with the CUDA SDK. Developers can use any tools supported by the CUDA SDK including the CUDA
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profiler and debugger.
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@@ -120,7 +120,7 @@ make
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## More Examples
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The GitHub repot [HIP-Examples](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP-Examples.git) contains a hipified vesion of the popular Rodinia benchmark suite.
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The GitHub repository [HIP-Examples](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP-Examples.git) contains a hipified version of the popular Rodinia benchmark suite.
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The README with the procedures and tips the team used during this porting effort is here: [Rodinia Porting Guide](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP-Examples/blob/master/rodinia_3.0/hip/README.hip_porting)
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## Tour of the HIP Directories
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