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.

examples/04_tile_iterator/CMakeLists.txt

@@ -20,19 +20,7 @@
 # STRICT LIABILITY, OR TOR (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
 # OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
 
-
-set(EXAMPLES_BASIC_CUTLASS_GEMM_SOURCES
-  tile_iterator.cu
-)
-
-if (NOT CUTLASS_NATIVE_CUDA)
-  # cuda_add_executable does not take interface include directories into account
-  # Let's fetch them and pass them to CUDA.
-  get_target_property(CUTLASS_INCLUDES CUTLASS INTERFACE_INCLUDE_DIRECTORIES)
-  include_directories("${CUTLASS_INCLUDES}")
-endif()
-
-cutlass_add_executable(
+cutlass_example_add_executable(
   04_tile_iterator
-  ${EXAMPLES_BASIC_CUTLASS_GEMM_SOURCES}
-)
+  tile_iterator.cu
+  )