clang-hipify -> hipify-clang in documentation
Change-Id: I86ebc8112477db0d3e09f240beb3f9222d909ee6
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@@ -33,7 +33,7 @@ HIP releases are typically of two types. The tag naming convention is different
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- [HIP Porting Guide](docs/markdown/hip_porting_guide.md)
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- [HIP Porting Driver Guide](docs/markdown/hip_porting_driver_api.md)
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- [HIP Terminology](docs/markdown/hip_terms.md) (including Rosetta Stone of GPU computing terms across CUDA/HIP/HC/AMP/OpenL)
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- [clang-hipify](clang-hipify/README.md)
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- [hipify-clang](hipify-clang/README.md)
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- [Developer/CONTRIBUTING Info](CONTRIBUTING.md)
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- [Release Notes](RELEASE.md)
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@@ -114,7 +114,7 @@ These offer pointer-based memory interfaces (as opposed to opaque buffers) and c
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- [hcsparse](https://bitbucket.org/multicoreware/hcsparse)
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- [hcrng](https://bitbucket.org/multicoreware/hcrng)
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Additionally, some of the cublas routines are automatically converted to hipblas equivalents by the clang-hipify tool. These APIs use cublas or hcblas depending on the platform, and replace the need
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Additionally, some of the cublas routines are automatically converted to hipblas equivalents by the hipify-clang tool. These APIs use cublas or hcblas depending on the platform, and replace the need
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to use conditional compilation.
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### How does HIP compare with OpenCL?
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@@ -148,7 +148,7 @@ The tools also struggle with more complex CUDA applications, in particular those
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### Does Hipify automatically convert all source code?
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Typically, Hipify can automatically convert almost all run-time code, and the coordinate indexing device code (i.e. threadIdx.x -> hipThreadIdx_x).
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Most device code needs no additional conversion, since HIP and CUDA have similar names for math and built-in functions.
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The clang-hipify tool will automatically modify the kernel signature as needed (automating a step that used to be done manually)
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The hipify-clang tool will automatically modify the kernel signature as needed (automating a step that used to be done manually)
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Additional porting may be required to deal with architecture feature queries or with CUDA capabilities that HIP doesn't support.
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In general, developers should always expect to perform some platform-specific tuning and optimization.
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@@ -95,6 +95,6 @@ Use hipcc to build the application, which is using hcc on AMD and nvcc on nvidia
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- [HIP Runtime API (Doxygen)](http://gpuopen-professionalcompute-tools.github.io/HIP)
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- [HIP Porting Guide](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/docs/markdown/hip_porting_guide.md)
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- [HIP Terminology](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/docs/markdown/hip_terms.md) (including Rosetta Stone of GPU computing terms across CUDA/HIP/HC/AMP/OpenL)
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- [clang-hipify](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/clang-hipify/README.md)
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- [hipify-clang](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/hipify-clang/README.md)
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- [Developer/CONTRIBUTING Info](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/CONTRIBUTING.md)
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- [Release Notes](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/RELEASE.md)
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@@ -69,6 +69,6 @@ Use hipcc to build the application, which is using hcc on AMD and nvcc on nvidia
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- [HIP Runtime API (Doxygen)](http://gpuopen-professionalcompute-tools.github.io/HIP)
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- [HIP Porting Guide](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/docs/markdown/hip_porting_guide.md)
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- [HIP Terminology](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/docs/markdown/hip_terms.md) (including Rosetta Stone of GPU computing terms across CUDA/HIP/HC/AMP/OpenL)
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- [clang-hipify](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/clang-hipify/README.md)
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- [hipify-clang](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/hipify-clang/README.md)
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- [Developer/CONTRIBUTING Info](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/CONTRIBUTING.md)
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- [Release Notes](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/RELEASE.md)
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@@ -46,6 +46,6 @@ Note this trace mode uses colors. "less -r" can handle raw control characters an
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- [HIP Runtime API (Doxygen)](http://gpuopen-professionalcompute-tools.github.io/HIP)
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- [HIP Porting Guide](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/docs/markdown/hip_porting_guide.md)
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- [HIP Terminology](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/docs/markdown/hip_terms.md) (including Rosetta Stone of GPU computing terms across CUDA/HIP/HC/AMP/OpenL)
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- [clang-hipify](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/clang-hipify/README.md)
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- [hipify-clang](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/hipify-clang/README.md)
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- [Developer/CONTRIBUTING Info](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/CONTRIBUTING.md)
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- [Release Notes](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP/RELEASE.md)
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