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.

docs/search/groups_0.js

@@ -1,5 +1,6 @@
 var searchData=
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-  ['fragment_20concept',['Fragment Concept',['../group__fragment__concept.html',1,'']]],
-  ['fragment_20iterator_20concept',['Fragment Iterator Concept',['../group__fragment__iterator__concept.html',1,'']]]
+  ['predicate_20iterator_20concept',['Predicate Iterator Concept',['../group__predicate__iterator__concept.html',1,'']]],
+  ['predicate_20tile_20adapter_20concept',['Predicate Tile Adapter Concept',['../group__predicate__tile__adapter.html',1,'']]],
+  ['predicate_20vector_20concept',['Predicate Vector Concept',['../group__predicate__vector__concept.html',1,'']]]
 ];