Update quickstart.md (#704)
* Update quickstart.md * Update doxygen_mainpage.md * Update doxygen_mainpage.md * Update terminology.md
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@ -33,7 +33,7 @@ CUTLASS 2.0 is a substantial refactoring from the previous version, intended to
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# Example CUTLASS GEMM
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The following illustrates an example function that defines a CUTLASS GEMM kernel
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with single-precision inputs and outputs. This is an exercpt from the CUTLASS SDK
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with single-precision inputs and outputs. This is an excerpt from the CUTLASS SDK
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[basic_gemm example](https://github.com/NVIDIA/cutlass/tree/master/examples/00_basic_gemm/basic_gemm.cu).
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~~~~~~~~~~~~~~~~~~~~~{.cpp}
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@ -347,7 +347,7 @@ Note, the above could be simplified as follows using helper methods defined in `
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# CUTLASS Library
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The [CUTLASS Library](./tools/library) defines an API for managing and executing collections of compiled
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The [CUTLASS Library](../../tools/library) defines an API for managing and executing collections of compiled
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kernel instances and launching them from host code without template instantiations in client code.
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The host-side launch API is designed to be analogous to BLAS implementations for convenience, though its
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@ -41,7 +41,7 @@ contiguous and strided dimensions of a tile.
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**Rank**: number of dimensions in a multidimensional index space, array, tensor, or matrix. Consistent with
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[C++ Standard Library](https://en.cppreference.com/w/cpp/types/rank)
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**Register**: in device code, registes are the most efficient storage for statically sized arrays of elements.
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**Register**: in device code, registers are the most efficient storage for statically sized arrays of elements.
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Arrays may be expected to be stored in registers if all accesses are made via constexpr indices or within
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fully unrolled loops.
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