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CUTLASS 2.1 (#83)

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CUTLASS 2.1 contributes:
- BLAS-style host-side API added to CUTLASS Library
- Planar Complex GEMM kernels targeting Volta and Turing Tensor Cores
- Minor enhancements and bug fixes
This commit is contained in:
Andrew Kerr
2020-04-07 13:51:25 -07:00
committed by GitHub
parent 7c0cd26d13
commit 96dab34ad9
196 changed files with 20653 additions and 1995 deletions
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@@ -28,6 +28,7 @@ Hyperlinks to relevant unit tests demonstrate how specific template instances ma
| **TensorOp** | 75 | 10.2+ | `s4 * s4 + s32 => {s32, s4}` | { T } x { N } => {N,T} | [example](/test/unit/gemm/device/gemm_s4t_s4n_s32n_tensor_op_s32_sm75.cu) |
| **TensorOp** | 75 | 10.2+ | `b1 ^ b1 + s32 => {s32, b1}` | { T } x { N } => {N,T} | [example](/test/unit/gemm/device/gemm_b1t_b1n_s32n_tensor_op_s32_sm75.cu) |
## Warp-level Matrix Multiply with Tensor Cores
The following table summarizes supported warp level shapes for each TensorOp instruction.