SWDEV-330657 - Remove hipThreadIdx definition (#2644)
Change-Id: Ic54c1ad1466c6e950e8b5f95ee8565e28c1db70c
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@@ -142,7 +142,7 @@ The tools also struggle with more complex CUDA applications, in particular, thos
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- For Nvidia platforms, HIP requires Unified Memory and should run on any device supporting CUDA SDK 6.0 or newer. We have tested the Nvidia Titan and Tesla K40.
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### Do HIPIFY tools automatically convert all source code?
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Typically, HIPIFY tools can automatically convert almost all run-time code, and the coordinate indexing device code ( threadIdx.x -> hipThreadIdx_x ).
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Typically, HIPIFY tools can automatically convert almost all run-time code.
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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 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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