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/classes_1.js

@@ -1,7 +1,9 @@
 var searchData=
 [
+  ['batchedgemmcoord',['BatchedGemmCoord',['../structcutlass_1_1gemm_1_1BatchedGemmCoord.html',1,'cutlass::gemm']]],
   ['batchedreduction',['BatchedReduction',['../structcutlass_1_1reduction_1_1BatchedReduction.html',1,'cutlass::reduction']]],
   ['batchedreductiontraits',['BatchedReductionTraits',['../structcutlass_1_1reduction_1_1BatchedReductionTraits.html',1,'cutlass::reduction']]],
-  ['bin1_5ft',['bin1_t',['../structcutlass_1_1bin1__t.html',1,'cutlass']]],
+  ['blockforeach',['BlockForEach',['../structcutlass_1_1reference_1_1device_1_1BlockForEach.html',1,'cutlass::reference::device']]],
+  ['blockforeach',['BlockForEach',['../structcutlass_1_1reference_1_1host_1_1BlockForEach.html',1,'cutlass::reference::host']]],
   ['bool_5fconstant',['bool_constant',['../structcutlass_1_1platform_1_1bool__constant.html',1,'cutlass::platform']]]
 ];