1.3.1 (2019-04-09)
- Corrected NVRTC unit tests.
1.3.0 (2019-03-20)
- Efficient GEMM kernel targeting Volta Tensor Cores via
mma.sync
instruction added in CUDA 10.1.
1.2.0 (2018-10-26)
- Parallelized reductions across threadblocks ("Split-K")
- Improved IGEMM performance
- Batched strided WMMA GEMMs
1.1.0 (2018-09-19)
- Turing Features
- WMMA GEMM targeting TensorCores - INT8, INT4, 1-bit
- Batched Strided GEMM
- Threadblock rasterization strategies
- Improved performance for adverse problem sizes and data layouts
- Extended CUTLASS Core comonents
- Tensor views support arbitrary matrix and tensor layouts
- Zip iterators for structuring multiple data streams
- Enhanced CUTLASS utilities
- Reference code for tensor operations in host and device code
- Added HostMatrix<> for simplified matrix creation
- Examples
- Basic GEMM, tensor views, CUTLASS utilities, batched GEMM, WMMA GEMM
1.0.1 (2018-06-11)
- Intra-threadblock reduction added for small threadblock tile sizes
- sgemm_64x128x16, sgemm_128x128x16, sgemm_128x64x16, sgemm_128x32x16, sgemm_64x64x16, sgemm_64x32x16
- igemm_32x32x128
- GEMM K residue handled during prologue prior to mainloop
- Replaced Google Test copy with submodule. Use
git submodule init --recursive --update
1.0.0 (2018-05-16)
- Substantial rewrite to accommodate new architecture
- Kernels: SGEMM, DGEMM, IGEMM, HGEMM, WMMA GEMM
- Unit and performance tests
0.0.1 (2017-12-04)
- Initial release
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