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Fix README (#1658)

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* Fix README

* Improve README

---------

Co-authored-by: Haicheng Wu <57973641+hwu36@users.noreply.github.com>
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Lei Mao 2024-10-23 09:52:43 -07:00 committed by GitHub
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README.md
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@ -41,7 +41,6 @@ and improves code composability and readability. More documentation specific to
In addition to GEMMs, CUTLASS implements high-performance convolution via the implicit GEMM algorithm. Implicit GEMM is the formulation of a convolution operation as a GEMM thereby taking advantage of CUTLASS's modular GEMM pipeline. This allows CUTLASS to build convolutions by reusing highly-optimized GEMM components.
# What's New in CUTLASS 3.6
CUTLASS 3.6.0 is an update to CUTLASS adding:

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media/docs/quickstart.md
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@ -179,11 +179,13 @@ $ make test_unit_gemm_warp -j
To minimize compilation time, specific GPU architectures can be enabled via the CMake command,
selected by [CUDA Compute Capability.](https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#compute-capabilities)
**NVIDIA Ampere Architecture.**
**NVIDIA Hopper Architecture.**
```bash
$ cmake .. -DCUTLASS_NVCC_ARCHS=90a # compiles for NVIDIA Hopper GPU architecture
```
**NVIDIA Ampere Architecture.**
```bash
$ cmake .. -DCUTLASS_NVCC_ARCHS=80 # compiles for NVIDIA Ampere GPU architecture
```