CUTLASS 2.0 (#62)

CUTLASS 2.0

Substantially refactored for

- Better performance, particularly for native Turing Tensor Cores
- Robust and durable templates spanning the design space
- Encapsulated functionality embodying modern C++11 programming techniques
- Optimized containers and data types for efficient, generic, portable device code

Updates to:
- Quick start guide
- Documentation
- Utilities
- CUTLASS Profiler

Native Turing Tensor Cores
- Efficient GEMM kernels targeting Turing Tensor Cores
- Mixed-precision floating point, 8-bit integer, 4-bit integer, and binarized operands

Coverage of existing CUTLASS functionality:
- GEMM kernels targeting CUDA and Tensor Cores in NVIDIA GPUs
- Volta Tensor Cores through native mma.sync and through WMMA API
- Optimizations such as parallel reductions, threadblock rasterization, and intra-threadblock reductions
- Batched GEMM operations
- Complex-valued GEMMs

Note: this commit and all that follow require a host compiler supporting C++11 or greater.

CONTRIBUTORS.md

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+![ALT](/media/images/gemm-hierarchy-with-epilogue-no-labels.png "CUTLASS")
+
+[README](/README.md#documentation) > **Contributors**
+
+# CUTLASS Developers and Contributors
+
+This is the official list of CUTLASS developers and contributors.
+
+## DEVELOPERS
+Andrew Kerr  
+Haicheng Wu  
+Naila Farooqui  
+Dustyn Blasig  
+Pradeep Ramani  
+Manish Gupta  
+Aditya Atluri  
+Paul Springer  
+David Tanner  
+Scott Yokim      
+Jin Wang   
+  
+## CONTRIBUTORS
+Timothy Costa  
+Julien Demouth  
+Brian Fahs  
+Michael Goldfarb  
+Mostafa Hagog  
+Markus Hohnerbach  
+Fei Hu  
+Alan Kaatz  
+Tina Li  
+Timmy Liu  
+Duane Merrill  
+Kevin Siu  
+Markus Tavenrath  
+John Tran  
+Vicki Wang  
+Junkai Wu  
+Fung Xie  
+Albert Xu  
+Jack Yang  
+Xiuxia Zhang  
+Nick Zhao  
+
+## ACKNOWLEDGEMENTS
+
+Girish Bharambe  
+Cris Cecka  
+Luke Durant  
+Olivier Giroux  
+Stephen Jones  
+Rishkul Kulkarni  
+Bryce Lelbach  
+Joel McCormack  
+Kyrylo Perelygin  
+